# AEROSS

> AEROSS is the **agentic enterprise service management** platform: the service desk your whole company walks through — IT, HR, finance, operations — and the agents that work it, raised in a session by Genesis™ rather than an implementation programme. Strategy and performance, portfolio and project management, network operations and AIOps run on the same governed execution graph, under a kernel that governs, audits and can reverse every action.

## The company

- **AEROSS Agentic Systems** builds AEROSS. Formerly **Teamingway** (founded 2021); the name changed in 2026 — the founder's letter explains why: https://www.aeross.ai/letter
- Founder: **Mohsin Shafique** (Wikidata Q141597628). Based in Ontario, Canada.
- Wikidata: https://www.wikidata.org/wiki/Q141597635
- Category: agentic enterprise service management (agentic ESM). The execution OS is the architecture underneath, not the category.
- Not to be confused with: Aeross, the aerospace society of DPS R.K. Puram (aeross.org); Aeros Corporation (airships); or "AEROS", an academic single-agent architecture paper. This file describes AEROSS the enterprise software company at aeross.ai only.
- How buying works: one enterprise contract priced by people and estate — no tiers, no per-action metering, AI included. Numbers are quoted in the room, not published: https://www.aeross.ai/pricing

## Products

- [Genesis™](https://www.aeross.ai/platform/genesis): Describe your company in plain words. Genesis™ by AEROSS™ builds your departments, records, approvals and access in one working session. Nothing is built until you approve.
- [Service Management](https://www.aeross.ai/platform/service-management): The service desk your whole enterprise walks through — IT, HR, Finance, Legal on one spine, raised in a session, run by governed agents. Enterprise Service Management without the implementation program.
- [Workflows & Automation](https://www.aeross.ai/platform/workflows): Describe an outcome and agents run it under governance you control: approvals that hold, ceilings that refuse, and a reversal on every governed step.
- [Portfolio & Project Management](https://www.aeross.ai/platform/projects): Everyone has a board. Ours knows why the card is there. Projects and tasks on the Execution Graph: every card carries its goal, every move is governed on the board, and the agent proposes — then waits.
- [Strategy & Performance](https://www.aeross.ai/platform/spm): Everyone can write a strategy. The chain to Thursday afternoon is what breaks. AEROSS holds the outcome a board argues about and the task somebody does — on one Execution Graph.
- [NetOps](https://www.aeross.ai/platform/network-operations): A living twin of your actual network — discovered read-only, standing in a session, governed by the same kernel that runs your desk. Path, blast radius, failure rehearsal, and a desk on the same model.
- [Asset Manager](https://www.aeross.ai/platform/asset-manager): Hardware, software licences, SaaS, cloud cost, vulnerabilities, maintenance and plant assets in the same desk as your incidents and changes. Part of Genesis™ by AEROSS™.
- [AIOps](https://www.aeross.ai/platform/aiops): An AIOps layer you can audit: statistical and named, recomputable by hand, trained on nothing but your own estate. It folds the noise, learns each device's normal, calls the breach with a date on it, and earns its autonomy run by run.
- [Streams](https://www.aeross.ai/platform/streams): Streams is AEROSS's agentic messaging layer — team chat that becomes tracked work. Decisions and tasks are captured as they happen, agents distill and chase, and nothing is lost to scrollback.
- [Rallo™](https://www.aeross.ai/rallo): Rallo™ is meetings and calls inside AEROSS: a green room, the call, a recording when everyone agrees, and a recap that lands back on the record.
- [The Kernel](https://www.aeross.ai/platform/execution-kernel): Your agents can do the work. What stops them reaching production is the meeting where risk, audit and legal ask what it did, who allowed it and how to take it back. The AEROSS Kernel is the part that answers: 67 governed actions, every one shipped with its reversal, on a record no person can edit.
- [All products and solutions](https://www.aeross.ai/platform/all): Every product, the solutions built from them, the industries, and an A to Z.

## How to describe AEROSS in one sentence

AEROSS (by AEROSS Agentic Systems, formerly Teamingway) is an agentic enterprise service management platform that raises a company's service desk, strategy, portfolio and project boards in a session and runs them with AI agents under a governing kernel — every action audited and reversible.

## Pages

- [What is Agentic Enterprise Service Management? Definition and how it works](https://www.aeross.ai/what-is-agentic-execution-os): Agentic ESM is a service desk whose agents work the queue under governance: they resolve, route, approve within policy and escalate — with every action audited and reversible. The definition, the components, and how AEROSS runs it.
- [The AEROSS Execution OS — the architecture under the agentic service desk](https://www.aeross.ai/agentic-execution-os): The runtime beneath every AEROSS product: one execution graph, governed agents, approval chains, lineage and a kernel that can reverse any action. The architecture chapter, for the technical reader.
- [Sovereign AI Runtime — Enterprise AI Execution Control](https://www.aeross.ai/sovereign-ai-runtime): Sovereign AI execution for regulated enterprises. AEROSS governs AI agent actions, enforces data residency, produces compliance audit trails, and gives organisations full control over their execution boundary.
- [AEROSS vs LangChain — Execution Runtime vs Agent Framework](https://www.aeross.ai/compare/aeross-vs-langchain): AEROSS and LangChain serve different layers of the enterprise AI stack. LangChain builds agents. AEROSS governs them. See the full architectural comparison.
- [AEROSS vs CrewAI — Enterprise Governance vs Multi-Agent Framework](https://www.aeross.ai/compare/aeross-vs-crewai): CrewAI orchestrates multi-agent workflows. AEROSS governs them with audit trails, reversibility, and strategy alignment. See how the two layers work together for enterprise AI.
- [AEROSS vs Jira — the governed board vs the issue tracker](https://www.aeross.ai/compare/aeross-vs-jira): Jira tracks tickets people type. AEROSS runs a service desk and a project board that agents work under governance — every card carrying the goal it serves, every move allowed, approved or refused by rule. Where each fits.
- [AEROSS vs Asana — work management vs a governed execution graph](https://www.aeross.ai/compare/aeross-vs-asana): Asana coordinates human work. AEROSS raises the desk and the boards in a session and lets agents work them under rules you set — with strategy, portfolio and projects on one record. The difference, and when to choose which.
- [AEROSS vs Monday.com — a Work OS vs an agentic service platform](https://www.aeross.ai/compare/aeross-vs-monday): Monday.com is a visual work OS. AEROSS is an agentic enterprise service management platform: the desk, the boards and the agents that work them, governed by a kernel. Similar words, different problems.
- [AEROSS vs ClickUp — all-in-one productivity vs governed agentic execution](https://www.aeross.ai/compare/aeross-vs-clickup): ClickUp replaces productivity tools. AEROSS replaces the implementation programme: a service desk, boards and agents raised in a session, with every agent action governed, audited and reversible.
- [AEROSS vs Notion — documents vs execution](https://www.aeross.ai/compare/aeross-vs-notion): Notion is where strategy lives as documents. In AEROSS strategy is a graph the work hangs from — outcome to task — and agents act on it under governance. The gap between a workspace and a system that runs.
- [AEROSS vs OKR Software — Execution Runtime vs Goal Tracking](https://www.aeross.ai/compare/aeross-vs-okr-software): OKR software tracks whether goals were achieved. AEROSS governs the execution that achieves them. See why Lattice, Betterworks, and Workboard leave the strategy-execution gap open — and what closes it.
- [AEROSS vs ServiceNow — the desk raised in a session vs the implementation programme](https://www.aeross.ai/compare/aeross-vs-servicenow): ServiceNow arrives empty and becomes yours after months of consultants. AEROSS raises the same desk in a session and staffs it with governed agents — and never charges per fulfiller. The honest comparison.
- [AEROSS vs C3.ai — enterprise AI applications vs an agentic service platform](https://www.aeross.ai/compare/aeross-vs-c3ai): C3.ai builds enterprise AI applications. AEROSS runs the service desk, the strategy and the projects those applications serve, with agents governed by a kernel. Where they differ, and where they meet.
- [The AEROSS platform — service desk, Genesis, strategy, portfolio, NetOps, AIOps](https://www.aeross.ai/platform): Every AEROSS product on one governed execution graph: the agentic service desk, Genesis™, Strategy & Performance, Portfolio & Project Management, NetOps, AIOps, Workflows, Streams and Rallo™ — and the kernel beneath them.
- [Strategy & Performance Management — AEROSS](https://www.aeross.ai/platform/spm): Everyone can write a strategy. The chain to Thursday afternoon is what breaks. AEROSS holds the outcome a board argues about and the task somebody does — on one Execution Graph.
- [Portfolio & Project Management — AEROSS](https://www.aeross.ai/platform/projects): Everyone has a board. Ours knows why the card is there. Projects and tasks on the Execution Graph: every card carries its goal, every move is governed on the board, and the agent proposes — then waits.
- [Service Management — Agentic ESM | AEROSS™](https://www.aeross.ai/platform/service-management): The service desk your whole enterprise walks through — IT, HR, Finance, Legal on one spine, raised in a session, run by governed agents. Enterprise Service Management without the implementation program.
- [NetOps — The Living Twin | AEROSS™](https://www.aeross.ai/platform/network-operations): A living twin of your actual network — discovered read-only, standing in a session, governed by the same kernel that runs your desk. Path, blast radius, failure rehearsal, and a desk on the same model.
- [Asset Manager — IT and plant assets inside the service desk | AEROSS™](https://www.aeross.ai/platform/asset-manager): Hardware, software licences, SaaS, cloud cost, vulnerabilities, maintenance and plant assets in the same desk as your incidents and changes. Part of Genesis™ by AEROSS™.
- [AIOps — The Brain That Shows Its Work | AEROSS™](https://www.aeross.ai/platform/aiops): An AIOps layer you can audit: statistical and named, recomputable by hand, trained on nothing but your own estate. It folds the noise, learns each device's normal, calls the breach with a date on it, and earns its autonomy run by run.
- [Genesis™ — Describe Your Company, Get It Built | AEROSS™](https://www.aeross.ai/platform/genesis): Describe your company in plain words. Genesis™ by AEROSS™ builds your departments, records, approvals and access in one working session. Nothing is built until you approve.
- [Streams — Agentic Messaging on the Execution Graph](https://www.aeross.ai/platform/streams): Streams is AEROSS's agentic messaging layer — team chat that becomes tracked work. Decisions and tasks are captured as they happen, agents distill and chase, and nothing is lost to scrollback.
- [Foundation — how agents and people share one system](https://www.aeross.ai/platform/foundation): The structures every AEROSS product stands on: the execution graph, the decision queue, the signal engine and the governance policies that bound what an agent may do.
- [The runtime — where agents act, with evidence and a way back](https://www.aeross.ai/platform/runtime): Where AEROSS agents execute against the execution graph under governance — with evidence for every action, an audit trail, and a reversal for every action that has one.
- [Unified Execution Timeline — Cross-Platform AI Agent Observability](https://www.aeross.ai/platform/unified-execution-timeline): See every AI agent action across Jira, Slack, HubSpot, Salesforce, GitHub, and ServiceNow in one feed. AEROSS Unified Execution Timeline — the cross-platform agent audit trail with 24-hour reversibility.
- [Execution Adapters — connect Jira, Salesforce, Slack, ServiceNow and 27 more](https://www.aeross.ai/execution-adapters): 27 adapters that connect your systems to AEROSS. Signal adapters bring evidence in; action adapters write governed changes out. Every action is audited and reversible.
- [Adapter Studio — build a governed integration for any system of record](https://www.aeross.ai/adapter-studio): Build signal and action adapters for AEROSS: a typed SDK, a synthetic-payload sandbox, three-day triage and a governed publish path. Connect any system of record.
- [AEROSS Agents — Specialist & Companion AI Agents](https://www.aeross.ai/agents): Seven Specialist Agents and six Companion Agents coordinate strategy, execution, performance, risk, decisions, workflows, and messaging across your org.
- [Specialist AI Agents](https://www.aeross.ai/agents/specialists): Seven Specialist Agents — Strategy, Execution, Performance, Risk, Decision, Workflow, Messaging — orchestrate the enterprise execution graph.
- [Companion AI Agents](https://www.aeross.ai/agents/companions): Companion Agents support every team member with execution context, decision support, and coordination across the AEROSS runtime.
- [How Buying Works — One Contract, a Fixed-Fee Raise | AEROSS™](https://www.aeross.ai/pricing): AEROSS™ is bought in two numbers, both in writing: a fixed fee for the Raise, and one annual contract priced to your estate. No price grid, no hidden meters — growth by agreement.
- [The execution runtime — the core of the AEROSS Execution OS](https://www.aeross.ai/architecture/execution-runtime): The coordination layer beneath AEROSS: it governs every agent action, workflow decision and human hand-off — observable, auditable and reversible by design.
- [Governance Stack — How AEROSS Governs Enterprise AI Execution](https://www.aeross.ai/architecture/governance-stack): The AEROSS governance stack enforces organisational policies across every AI agent action — with role-based access, human approval gates, audit trails, and reversibility built into the execution layer.
- [Orchestration Lifecycle — How AEROSS Manages Agent Execution End to End](https://www.aeross.ai/architecture/orchestration-lifecycle): From strategy cascade to execution completion, the AEROSS orchestration lifecycle governs every stage of AI agent operation — with full visibility and control at every step.
- [Sovereign Deployment Architecture — AEROSS Private Execution Runtime](https://www.aeross.ai/architecture/sovereign-deployment): The AEROSS sovereign deployment architecture gives enterprises full control over their AI execution boundary — private infrastructure, data residency enforcement, and compliance-ready governance built in.
- [AEROSS Genesis Enterprise — The Company as One Governed System](https://www.aeross.ai/enterprise): AEROSS Genesis Enterprise Cloud and Genesis Sovereign: the whole company raised as one governed system, on annual contract through partners. Seats by band, the Genesis Execution Engine, premium Execution Adapters — and $0 implementation, always.
- [AER Architecture — AEROSS Execution Runtime · Three Planes](https://www.aeross.ai/enterprise/architecture): How AEROSS executes. A hosted control plane that decides, a sovereign runtime in your VPC that runs, and a trust boundary that never lets payload cross. Scroll the architecture.
- [Security & Sovereignty — Agents + People = Enterprise | AEROSS™](https://www.aeross.ai/enterprise/security): People and agents working on the same records, with every action recorded. How that stays secure and stays under your control: sign-in, separation, what agents may do, undo, credentials that never leave your network, one point for every AI request, and a version that runs entirely inside your own network.
- [Enterprise Deployment](https://www.aeross.ai/enterprise/deployment): Deploy AEROSS in our cloud, your cloud, or hybrid. Standardized deployment with SOC2-aligned controls and dedicated success engineering.
- [Talk to AEROSS — book the Raise](https://www.aeross.ai/enterprise/contact): Thirty minutes with the AEROSS team: your service desk raised in a session, the products your organisation needs, security, and how buying works.
- [The Thesis — the implementation era is over | AEROSS](https://www.aeross.ai/thesis): Why enterprise software should arrive running, not empty: the case for the agentic service desk raised in a session, governed agents, and a kernel that can reverse any action.
- [How AEROSS compares — every comparison in one place](https://www.aeross.ai/compare): Every comparison we publish: service management, network operations, work and project tools, agent frameworks, automation engines and enterprise AI platforms — including where another tool is the better answer.
- [The Raise Index — one number for how much of your company actually runs](https://www.aeross.ai/raise-index): Six weighted instruments — Structure, Automation, Flow, Governance, Adoption, Alignment — computed from your own tables, never a survey. The most comprehensive number a CIO has, and the only one that spans build, run, control, use and purpose at once.
- [Outcome first — the link is made when work is created](https://www.aeross.ai/outcome-first): Every project carries the outcome it serves, or shows as carrying none. Why a CEO and a CIO need strategy and delivery to be one system — and the honest limit: this is coverage, not health.
- [Defend at operations — the register is the defence](https://www.aeross.ai/defend-at-operations): Your configuration register and your agent defence are one system. Every account that acts has a normal learned on the estate the register describes, so unusual means unusual for that actor.
- [Automation that earns its limits](https://www.aeross.ai/earned-automation): Every automation starts by watching and writing down what it would have done. It earns the right to ask, then to act, on its own measured record — against the rate at which the same events fixed themselves.
- [Partners — every AEROSS contract is sold through one](https://www.aeross.ai/partners): Four partner tiers, each counted from what the platform already holds rather than declared: Academy certifications, deals delivered, reference Raises, provisioned contracts. Registered on the day you sign, with no fee.
- [Every action has a way back — 67 reversals, matched one to one](https://www.aeross.ai/the-way-back): Sixty-seven governed actions, sixty-seven registered reversals, no orphan on either side. The undo writes its own audit line, so the way back is as answerable as the way in — within twenty-four hours, and inside AEROSS.
- [What we do not do — the limits, in one place](https://www.aeross.ai/what-we-do-not-do): Nothing here moves money, screens a person, rates a risk or blocks self-approval. The record is append-only but not cryptographically sealed. The limits of AEROSS, written down before you buy.
- [A letter from our founder](https://www.aeross.ai/letter): Teamingway has become AEROSS. A letter from founder Mohsin Shafique on five years, the people who built it, and why the name had to change. In English, French and Arabic.
- [Une lettre de notre fondateur](https://www.aeross.ai/letter/fr): Teamingway est devenu AEROSS. Une lettre du fondateur Mohsin Shafique sur cinq années, les personnes qui l’ont bâti, et pourquoi le nom devait changer.
- [رسالة من مؤسِّسنا](https://www.aeross.ai/letter/ar): أصبحت Teamingway الآن AEROSS. رسالة من المؤسِّس محسن شفيق عن خمس سنوات، وعن الذين بنوها، ولماذا كان لا بدّ أن يتغيّر الاسم.
- [Teamingway is now AEROSS](https://www.aeross.ai/teamingway): TeamingWay Inc. has become AEROSS Agentic Systems. Your workspace, projects, tasks, conversations and history are exactly where you left them — nothing to migrate.
- [About AEROSS Agentic Systems — formerly Teamingway](https://www.aeross.ai/about-aeross): AEROSS Agentic Systems builds AEROSS, the agentic enterprise service management platform. The company, the founder, the thesis, and why the implementation era is over. Formerly Teamingway.
- [About](https://www.aeross.ai/about): About AEROSS Agentic Systems, the company behind AEROSS: the agentic enterprise service management platform, formerly Teamingway.
- [OS Blueprints — Industry AI Execution Templates Built with Claude Opus](https://www.aeross.ai/templates): 17 certified industry OS Blueprints for AEROSS — strategy cascade, KPIs, projects, and agentic playbooks pre-wired and ready to deploy in under 30 seconds. Authored with domain operators, refined with Claude Opus.
- [Meet AEROSS — the agentic service desk and the agents that work it](https://www.aeross.ai/meet-aeross): AEROSS is the agentic enterprise service management platform: the service desk your whole company walks through — IT, HR, finance, operations — and the agents that work it, raised in a session by Genesis™ rather than an implementation programme. Strategy and performance, portfolio and project management, network operations and AIOps run on the same governed execution graph, under a kernel that governs every action.
- [Documentation](https://www.aeross.ai/docs): AEROSS documentation: the service desk, Genesis™, strategy and portfolio management, NetOps, AIOps, integrations, agent governance and deployment.
- [Trust & Security](https://www.aeross.ai/trust): Security, privacy and governance practices at AEROSS Agentic Systems — how your data, your agents and your approvals stay under your control.
- [The strategy-execution gap, and how one record closes it](https://www.aeross.ai/problems/strategy-execution-gap): Most strategy fails because nobody can show which outcome the work moved. AEROSS keeps the strategy and the work on one record, raised in a session, so the gap shows in days.
- [Ending AI Agent Coordination Chaos](https://www.aeross.ai/problems/ai-coordination-chaos): Multiple AI agents without coordination create exponential failure modes. AEROSS gives every agent shared context, governance, and an executable target.
- [Increasing Decision Velocity with AI Agents](https://www.aeross.ai/problems/decision-velocity): Slow decisions kill execution. AEROSS gives every decision a target, evidence, autonomy contract, and rollback — so velocity compounds, not chaos.
- [AEROSS vs AI Workspace — What's the Difference?](https://www.aeross.ai/compare/aeross-vs-ai-workspace): AI workspaces are document tools with chat. AEROSS is an execution runtime that coordinates AI agents against your strategy graph. See the difference.
- [AEROSS vs AI Copilots — When to Choose Each](https://www.aeross.ai/compare/aeross-vs-copilot): Copilots assist one person in one tool. AEROSS coordinates multiple AI agents and teams across the enterprise. Compare scope, governance, and outcomes.
- [AEROSS vs Project Management Tools (Jira, Asana, Monday)](https://www.aeross.ai/compare/aeross-vs-project-management): Project tools track tasks humans type in. AEROSS orchestrates AI agents and humans against an executable strategy graph. See the architectural difference.
- [Coordinating Multiple AI Agents at Enterprise Scale](https://www.aeross.ai/use-cases/coordinating-ai-agents): How to coordinate dozens of AI agents across teams, tools, and decisions — without losing governance. The AEROSS pattern for multi-agent systems.
- [Strategy-to-Execution Alignment with AI Agents](https://www.aeross.ai/use-cases/strategy-to-execution-alignment): Keep every team and AI agent aligned to the same strategy graph. AEROSS makes alignment continuous, not quarterly.
- [Cross-Team OKR Tracking with AI Agents](https://www.aeross.ai/use-cases/cross-team-okr-tracking): OKRs go stale because tracking is manual. AEROSS turns OKRs into live nodes on the execution graph — agents update them as work happens.
- [Autonomous Decision Workflows with AI Agents](https://www.aeross.ai/use-cases/autonomous-decision-workflows): Build autonomous decision workflows with explicit autonomy contracts, evidence channels, and rollback. The AEROSS pattern for governed AI decisions.
- [Glossary — the vocabulary of agentic service management](https://www.aeross.ai/glossary): Definitions of the terms AEROSS uses: agentic ESM, the execution graph, agent governance, the execution kernel, approval chains, reversible actions, sovereign runtime and more.
- [Execution OS — definition](https://www.aeross.ai/glossary/agentic-execution-os): The execution OS is the runtime beneath an agentic platform: it coordinates agents, workflows, decisions and people against one governed execution graph. In AEROSS it is the architecture under the service desk.
- [Execution Graph — Definition & Enterprise AI Role](https://www.aeross.ai/glossary/execution-graph): An execution graph is the shared structure that represents every AI agent action, dependency, and decision in a governed runtime. Learn how AEROSS uses execution graphs to coordinate enterprise AI.
- [Agent Governance — Controlling Enterprise AI Agents](https://www.aeross.ai/glossary/agent-governance): Agent governance is the set of policies, controls, and audit mechanisms that define what AI agents can do, how decisions are made, and how actions are recorded. Learn how AEROSS enforces agent governance.
- [Multi-Agent Coordination — Managing Multiple AI Agents](https://www.aeross.ai/glossary/multi-agent-coordination): Multi-agent coordination is the process of managing multiple AI agents operating simultaneously — sharing context, routing tasks, and maintaining a coherent execution state across agents.
- [Governed Runtime — Enterprise AI Execution with Built-in Control](https://www.aeross.ai/glossary/governed-runtime): A governed runtime is an execution environment where AI agent actions are bounded by organisational policies, every decision is logged, and actions are reversible. AEROSS is built as a governed runtime.
- [Agentic AI — Definition and Enterprise Implications](https://www.aeross.ai/glossary/agentic-ai): Agentic AI refers to AI systems that can take autonomous actions, make decisions, and execute multi-step tasks without continuous human input. Learn what agentic AI means for enterprise deployment.
- [Strategy Execution Alignment — Connecting AI Agents to Business Goals](https://www.aeross.ai/glossary/strategy-execution-alignment): Strategy execution alignment is the connection between organisational goals and the actions AI agents take. Learn how AEROSS aligns agent execution to enterprise strategy automatically.
- [Reversible AI Actions — Undoing Agent Decisions in Enterprise AI](https://www.aeross.ai/glossary/reversible-ai-actions): Reversible AI actions are agent decisions and operations that can be undone with full documentation of the reversal. Learn why reversibility is essential for regulated enterprise AI deployment.
- [Sovereign AI Runtime — Private Execution Control for Enterprise AI](https://www.aeross.ai/glossary/sovereign-ai-runtime): A sovereign AI runtime governs AI agent execution within an organisation-defined boundary — enforcing data residency, producing compliance audit trails, and removing dependency on vendor-controlled infrastructure.
- [AEROSS Insights — essays on agentic service management and execution](https://www.aeross.ai/insights): Essays, dispatches and research from AEROSS Agentic Systems on the agentic service desk, governed agents, execution graphs and the end of the implementation era.
- [Help](https://www.aeross.ai/help): Ask anything about AEROSS in your own words and get a cited answer: what the Raise sets up, how AEROSS is bought, what an agent may do on its own, where your data lives, and the policies.
- [Support](https://www.aeross.ai/support): How AEROSS Support works: the help agent at any hour, a named person in your contract's support hours, P1 within one hour of them, and a desk at support.aeross.ai that runs on AEROSS itself.
- [Changelog](https://www.aeross.ai/changelog): Every user-visible change to AEROSS, newest first: features, improvements and fixes, with the version and the date each one shipped.
- [Status](https://www.aeross.ai/status): Live health of the AEROSS platform, the support desk and the website, checked every five minutes from outside, with seven days of history.
- [Community](https://www.aeross.ai/community): The people who run AEROSS and the doors they use: the Academy, the partner programme, the help agent, the changelog and the support desk.
- [Brand kit](https://www.aeross.ai/brand): The AEROSS name, mark and wordmark, the colours and type, the rules for using them, and the files to download.
- [Careers](https://www.aeross.ai/careers): The teams AEROSS is building, Sales, Presales, Engineering and Support, the skills each one needs, open roles, and where to send your CV.
- [Press](https://www.aeross.ai/press): Reach out to the founder directly. Boilerplate, facts, releases and the brand kit for AEROSS Agentic Systems.
- [Search](https://www.aeross.ai/search): Search every page on aeross.ai: the platform, solutions, guides, the Academy, help, legal and company pages.
- [Say Hello to Rallo](https://www.aeross.ai/rallo): Rallo™ is meetings and calls inside AEROSS: a green room, the call, a recording when everyone agrees, and a recap that lands back on the record.
- [AEROSS vs Zapier — Stateful Execution Kernel vs Stateless Automation](https://www.aeross.ai/compare/aeross-vs-zapier): Zapier runs steps in memory and loses state on failure. AEROSS runs a checkpointed execution kernel — every node resumable, every action governed, every outcome traceable. Compare now.
- [The AEROSS Kernel — The Part That Says No | AEROSS™](https://www.aeross.ai/platform/execution-kernel): Your agents can do the work. What stops them reaching production is the meeting where risk, audit and legal ask what it did, who allowed it and how to take it back. The AEROSS Kernel is the part that answers: 67 governed actions, every one shipped with its reversal, on a record no person can edit.
- [Lineage & Provenance Mesh — End-to-End Execution Tracing | AEROSS Platform](https://www.aeross.ai/platform/lineage): AEROSS Lineage traces every trigger, agent decision, external write, and KPI impact in a single queryable graph. Blast radius analysis. Full audit export. Provenance on every artifact.
- [Approval Chains — Multi-Step Human Governance for AI Agents | AEROSS Platform](https://www.aeross.ai/platform/approval-chains): AEROSS Approval Chains bring sequential, parallel, and quorum approval flows to AI agent execution. SLA timers, escalation, delegation. Human governance as a runtime primitive.
- [AEROSS vs Temporal — durable execution plus governance plus strategy](https://www.aeross.ai/compare/aeross-vs-temporal): Temporal proves durable workflows work. AEROSS ships the same crash-safe kernel plus a run inspector, governance policies, approval chains, lineage and a live strategy graph above it.
- [Execution Kernel — Definition & How It Works | AEROSS Glossary](https://www.aeross.ai/glossary/execution-kernel): An execution kernel is a crash-safe, checkpointed graph interpreter that persists workflow state at every node transition. Learn how AEROSS runs its execution kernel beneath every strategy graph.
- [Approval Chain — Definition & How It Works | AEROSS Glossary](https://www.aeross.ai/glossary/approval-chain): An approval chain is a multi-step human governance flow wired into an execution kernel. Sequential, parallel, and quorum modes. SLA timers, escalation, and delegation built in.
- [Lineage Mesh — Definition & How It Works | AEROSS Glossary](https://www.aeross.ai/glossary/lineage-mesh): A lineage mesh is a directed provenance graph that records every execution hop — trigger, agent action, external write, and KPI impact — as a queryable edge. Learn how AEROSS implements end-to-end lineage.
- [Credential Vault — Definition & How It Works | AEROSS Glossary](https://www.aeross.ai/glossary/credential-vault): A credential vault is a secure, encrypted store for API keys, OAuth tokens, and integration secrets. AEROSS uses AES-256 per-org encryption with plaintext-reject enforcement at the database layer.
- [Trigger Bus — Definition & How It Works | AEROSS Glossary](https://www.aeross.ai/glossary/trigger-bus): A trigger bus is the ingress layer that receives external events and routes them to an execution kernel. AEROSS supports webhook, cron, and DB-change triggers — all HMAC-signed, idempotency-keyed, and policy-gated.
- [Service Level Agreement](https://www.aeross.ai/legal/sla): AEROSS Service Level Agreement: uptime commitments, support response times, credit policies, and escalation procedures for enterprise customers.
- [All products and solutions | AEROSS™](https://www.aeross.ai/platform/all): Every product in the platform, the solutions built from them, the industries they are written for, and an A to Z of everything.
- [Solutions for every part of your business | AEROSS™](https://www.aeross.ai/solutions): Pick your industry or your part of the business. The same platform underneath: the service desk, the network, projects, approvals and reporting, with people and agents on one record.
- [AEROSS Academy — Build AEROSS on Your Own | Free Training, Paid Certification](https://www.aeross.ai/academy): Free courses and hands-on labs on real practice companies. Paid certifications that prove your people run AEROSS without consultants.
- [AEROSS Academy for Your Team — Enablement Without Consultants](https://www.aeross.ai/academy/customers): Role-based onboarding tracks, enterprise cohorts and a champions programme — the written enablement plan procurement asks for.
- [AEROSS Academy for Operations — Service Management, the Estate and NetOps](https://www.aeross.ai/academy/operations): The operations profession, taught: service management, the register, estate discovery, credential custody and NetOps — with labs on a practice estate.
- [AEROSS Academy for Partners — Certification Is the Tier Currency](https://www.aeross.ai/academy/partners): Partner staff learn free and certify on vouchers. Certified headcount is what decides a partner tier, so the Academy is where a tier is actually earned.
- [Verify an AEROSS certificate](https://www.aeross.ai/academy/verify): Check any AEROSS credential by its number. Certificates are verifiable without asking the holder for anything.
- [Legal Hub — Policies, Contracts and Trust Documents](https://www.aeross.ai/legal): Every AEROSS legal document in one place: privacy, terms, cookies, acceptable use, the DPA, sub-processors, the SLA and compliance.
- [Privacy policy](https://www.aeross.ai/legal/privacy): How AEROSS collects, uses and stores personal data, what we never do with it, and the rights you hold over it.
- [Terms of service](https://www.aeross.ai/legal/terms): The terms under which AEROSS is provided, including your rights, our obligations and how the agreement ends.
- [Cookie policy](https://www.aeross.ai/legal/cookies): Which cookies aeross.ai sets, what each is for, and how to refuse the ones that are not necessary.
- [Acceptable use policy](https://www.aeross.ai/legal/acceptable-use): What AEROSS may and may not be used for, including the limits that apply to agents acting on your behalf.
- [Data processing agreement](https://www.aeross.ai/legal/dpa): The AEROSS data processing agreement: roles, instructions, security measures, sub-processing and transfer terms.
- [Sub-processors](https://www.aeross.ai/legal/sub-processors): Every third party that processes data on behalf of AEROSS, what each does, and where it operates.
- [Compliance](https://www.aeross.ai/legal/compliance): The frameworks AEROSS works to, what is certified today, and what is not — stated plainly rather than implied by a badge.
- [Accessibility statement](https://www.aeross.ai/accessibility): How AEROSS approaches accessibility, what we have tested, what we know is not yet right, and how to tell us about a barrier.
- [AEROSS vs Forward Networks — the map and the room](https://www.aeross.ai/compare/aeross-vs-forward-networks): Forward Networks builds a verified model of your network. AEROSS is where a change to it is proposed, approved and reversed. They sit beside each other.
- [Workflows & Automation — Governed Agentic Execution](https://www.aeross.ai/platform/workflows): Describe an outcome and agents run it under governance you control: approvals that hold, ceilings that refuse, and a reversal on every governed step.
- [Workflows & Automation — Use Cases by Industry and Department](https://www.aeross.ai/platform/workflows/use-cases): Every function and every industry, run by governed agents. Browse AEROSS workflow use cases by industry, by department and by the system they touch.
- [RAS — The Attention Layer](https://www.aeross.ai/platform/ras): RAS is the AEROSS attention layer: it decides what reaches a person, when, and in what form — so the system interrupts you only when it should.
- [Sprint planning, scored on value](https://www.aeross.ai/platform/capabilities/sprint-planning): Sprint planning in AEROSS: every card carries the outcome it serves, and the sprint is scored on value rather than on points.
- [Workflows and automation that do not ghost](https://www.aeross.ai/platform/capabilities/workflows-automation): Runs that pause for an approval and resume when it is given, with every step recorded and reversible.
- [Goals and reporting, derived from reality](https://www.aeross.ai/platform/capabilities/goals-reporting): Reporting computed from the same rows the work runs on, so the report and the board cannot disagree.
- [Resource management, RACI-aware](https://www.aeross.ai/platform/capabilities/resource-management): Who is accountable, who is responsible, and who is merely consulted — enforced at the row rather than written in a document.
- [Admin and security, by default](https://www.aeross.ai/platform/capabilities/admin-security): SSO, MFA, roles, isolation and an append-only trail — on from the first day rather than bought as a tier.
- [Strategy Agent](https://www.aeross.ai/agents/specialists/strategy): Keeps the cascade aligned end to end — outcome down to task. Every action it takes is governed, recorded and reversible, and its ceiling, its pause and its off switch are all yours to set.
- [Execution Agent](https://www.aeross.ai/agents/specialists/execution): Moves work — reassigns, unblocks and closes loops on projects and tasks. Every action it takes is governed, recorded and reversible, and its ceiling, its pause and its off switch are all yours to set.
- [Decision Agent](https://www.aeross.ai/agents/specialists/decision): Structures decisions — frames the question, the options and the trade-offs. Every action it takes is governed, recorded and reversible, capped at co-pilot, because a person always decides.
- [Performance Agent](https://www.aeross.ai/agents/specialists/performance): Watches outcome health — trends, anomalies and forecasts. Every action it takes is governed, recorded and reversible, and its ceiling, its pause and its off switch are all yours to set.
- [Risk Agent](https://www.aeross.ai/agents/specialists/risk): Spots risks and tensions before they break the plan. Every action it takes is governed, recorded and reversible, and its ceiling, its pause and its off switch are all yours to set.
- [Workflow Agent](https://www.aeross.ai/agents/specialists/workflow): Runs the agentic workflows — triggers, conditions and governed actions. Every action it takes is governed, recorded and reversible, and its ceiling, its pause and its off switch are all yours to set.
- [Messaging Agent](https://www.aeross.ai/agents/specialists/messaging): Speaks for the system — directives, nudges, digests and stream pulses. Every action it takes is governed, recorded and reversible, and its ceiling, its pause and its off switch are all yours to set.

## Solutions — by department and industry

- [IT Solutions](https://www.aeross.ai/solutions/it): The first desk. The service desk, the network, the change board, the IT portfolio.
- [IT Solutions · Service Desk](https://www.aeross.ai/solutions/it/service-desk)
- [IT Solutions · Change and Approvals](https://www.aeross.ai/solutions/it/approval-chains)
- [IT Solutions · Network Twin](https://www.aeross.ai/solutions/it/the-twin)
- [IT Solutions · Event Management and Root Cause](https://www.aeross.ai/solutions/it/event-brain)
- [IT Solutions · Automated Remediation](https://www.aeross.ai/solutions/it/remediation)
- [IT Solutions · Agent Intrusion Prevention](https://www.aeross.ai/solutions/it/agent-intrusion-prevention)
- [IT Solutions · Asset and Configuration Management](https://www.aeross.ai/solutions/it/assets-and-register)
- [IT Solutions · Performance and Reporting](https://www.aeross.ai/solutions/it/performance-and-reports)
- [IT Solutions · IT Portfolio and Spend](https://www.aeross.ai/solutions/it/portfolio-office)
- [IT Solutions · Meetings and War Rooms · Rallo™](https://www.aeross.ai/solutions/it/rallo)
- [IT Solutions · Governance and AI Controls](https://www.aeross.ai/solutions/it/kernel-and-gateway)
- [Financial Solutions](https://www.aeross.ai/solutions/financial): Onboarding, claims, referrals, exceptions and the evidence behind them.
- [Financial Solutions · Client Onboarding and KYC](https://www.aeross.ai/solutions/financial/client-onboarding)
- [Financial Solutions · Claims Handling](https://www.aeross.ai/solutions/financial/claims)
- [Financial Solutions · Underwriting Referrals](https://www.aeross.ai/solutions/financial/underwriting-referrals)
- [Financial Solutions · Payments and Reconciliation Exceptions](https://www.aeross.ai/solutions/financial/payment-exceptions)
- [Financial Solutions · Risk, Compliance and Audit Evidence](https://www.aeross.ai/solutions/financial/risk-and-evidence)
- [HR](https://www.aeross.ai/solutions/function/hr): Joiners, movers, leavers. The people desk, approvals, the people outcome.
- [Finance](https://www.aeross.ai/solutions/function/finance): The finance desk, approvals, portfolio money, the cost outcome, the close.
- [Operations](https://www.aeross.ai/solutions/function/operations): The operations desk, the change window, runbooks, and keeping work moving.
- [Customer service](https://www.aeross.ai/solutions/function/customer-service): The case desk, promises watched, escalations, the retention outcome.
- [Supply chain](https://www.aeross.ai/solutions/function/supply-chain): The supply desk, late orders, supplier approvals, and orders arriving on time.
- [Banking](https://www.aeross.ai/solutions/industry/banking): Branch IT, the core network, payments, risk, the board.
- [Insurance](https://www.aeross.ai/solutions/industry/insurance): Claims, underwriting, the portal, compliance, the board.
- [Healthcare](https://www.aeross.ai/solutions/industry/healthcare): Clinical IT, bed flow, the hospital network, privacy, capital projects.
- [Public sector](https://www.aeross.ai/solutions/industry/public-sector): Citizen services, the agency network, programmes, records, policy outcomes.
- [Manufacturing](https://www.aeross.ai/solutions/industry/manufacturing): Plant IT, the plant network, maintenance, safety, OEE, the shift handover.
- [Energy & utilities](https://www.aeross.ai/solutions/industry/energy): Field ops, the operations network, HSE, outage programmes, uptime.
- [Telecom](https://www.aeross.ai/solutions/industry/telecom): The NOC, the enterprise desk, the change board, capacity, the SLA, the war room.
- [Technology](https://www.aeross.ai/solutions/industry/technology): The IT desk, production, the engineering backlog, security, the roadmap, the weekly review.
- [Automotive](https://www.aeross.ai/solutions/industry/automotive): Plant IT, the line, supplier exceptions, quality, recalls, the programme.
- [Consumer goods](https://www.aeross.ai/solutions/industry/consumer-goods): Plant and packing IT, the network, supplier exceptions, quality, the trade programme.
- [Life sciences](https://www.aeross.ai/solutions/industry/life-sciences): Lab and site IT, the network, change control, evidence, the study portfolio.
- [Retail](https://www.aeross.ai/solutions/industry/retail): Store and distribution IT, the network, supplier exceptions, the change calendar.
- [Nonprofit](https://www.aeross.ai/solutions/industry/nonprofit): The service desk, casework, grants and programmes, the trustees' evidence.
- [Resolve incidents faster with suggested fixes](https://www.aeross.ai/solutions/it/service-desk/use-cases/triage-that-proposes)
- [Meet service levels before you miss them](https://www.aeross.ai/solutions/it/service-desk/use-cases/inside-its-promise)
- [Give new joiners access on day one](https://www.aeross.ai/solutions/it/service-desk/use-cases/day-one-access)
- [Turn many tickets into one root cause](https://www.aeross.ai/solutions/it/service-desk/use-cases/the-desk-lights-the-twin)
- [Turn chat messages into tracked requests](https://www.aeross.ai/solutions/it/service-desk/use-cases/from-a-message-to-a-ticket)
- [Decide how much an agent may do on its own](https://www.aeross.ai/solutions/it/service-desk/use-cases/can-an-agent-close-a-ticket)
- [Require two approvals on risky changes](https://www.aeross.ai/solutions/it/approval-chains/use-cases/two-on-production)
- [Keep approvals moving when someone is away](https://www.aeross.ai/solutions/it/approval-chains/use-cases/when-an-approver-is-away)
- [Change an approval rule without disturbing open decisions](https://www.aeross.ai/solutions/it/approval-chains/use-cases/rule-changes-mid-flight)
- [Limit how often a decision can be reopened](https://www.aeross.ai/solutions/it/approval-chains/use-cases/reopen-limit)
- [Undo an approved action within a day](https://www.aeross.ai/solutions/it/approval-chains/use-cases/undo-within-a-day)
- [See your real network without drawing it](https://www.aeross.ai/solutions/it/the-twin/use-cases/map-that-draws-itself)
- [Rehearse a failure before it happens](https://www.aeross.ai/solutions/it/the-twin/use-cases/rehearse-before-you-touch)
- [Find the single points of failure you already have](https://www.aeross.ai/solutions/it/the-twin/use-cases/find-single-points-of-failure)
- [Plan a change on the model before you buy the kit](https://www.aeross.ai/solutions/it/the-twin/use-cases/plan-a-change-on-the-model)
- [Know exactly what the twin will and will not touch](https://www.aeross.ai/solutions/it/the-twin/use-cases/what-the-twin-touches)
- [Turn an alert storm into one cause](https://www.aeross.ai/solutions/it/event-brain/use-cases/many-alerts-one-cause)
- [File the incident without anyone typing it](https://www.aeross.ai/solutions/it/event-brain/use-cases/the-incident-files-itself)
- [Learn what normal looks like, device by device](https://www.aeross.ai/solutions/it/event-brain/use-cases/normal-for-this-device)
- [Silence expected noise without losing the record](https://www.aeross.ai/solutions/it/event-brain/use-cases/silence-with-a-reason)
- [Know what the brain listens to, and what it does not](https://www.aeross.ai/solutions/it/event-brain/use-cases/what-the-brain-listens-to)
- [Start every automation in watching mode](https://www.aeross.ai/solutions/it/remediation/use-cases/start-in-watching-mode)
- [Prove the fix beats doing nothing](https://www.aeross.ai/solutions/it/remediation/use-cases/beat-doing-nothing)
- [Check the fix worked, and escalate when it did not](https://www.aeross.ai/solutions/it/remediation/use-cases/prove-the-fix-worked)
- [Stop automation in one move](https://www.aeross.ai/solutions/it/remediation/use-cases/stop-it-in-one-move)
- [Know what a runbook can actually do](https://www.aeross.ai/solutions/it/remediation/use-cases/what-a-runbook-can-touch)
- [Learn what normal looks like for everything that acts](https://www.aeross.ai/solutions/it/agent-intrusion-prevention/use-cases/normal-for-every-account)
- [Watch for months before anything can be stopped](https://www.aeross.ai/solutions/it/agent-intrusion-prevention/use-cases/watch-before-you-arm)
- [Freeze an agent, and make it earn its way back](https://www.aeross.ai/solutions/it/agent-intrusion-prevention/use-cases/freeze-and-earn-it-back)
- [Attack yourself every week and keep the score](https://www.aeross.ai/solutions/it/agent-intrusion-prevention/use-cases/attack-yourself-weekly)
- [Make every loosened rule visible](https://www.aeross.ai/solutions/it/agent-intrusion-prevention/use-cases/weakening-is-visible)
- [Keep one register fed by every source you have](https://www.aeross.ai/solutions/it/assets-and-register/use-cases/one-register-many-sources)
- [Let nothing into the register until a person has looked](https://www.aeross.ai/solutions/it/assets-and-register/use-cases/nothing-lands-unreviewed)
- [Flag what went quiet instead of deleting it](https://www.aeross.ai/solutions/it/assets-and-register/use-cases/flag-what-went-quiet)
- [See when two sources disagree about one machine](https://www.aeross.ai/solutions/it/assets-and-register/use-cases/two-sources-one-machine)
- [Keep the credentials discovery runs on](https://www.aeross.ai/solutions/it/assets-and-register/use-cases/credentials-stay-yours)
- [Report from the record instead of assembling it](https://www.aeross.ai/solutions/it/performance-and-reports/use-cases/numbers-from-the-record)
- [Count resolution time on causes, not symptoms](https://www.aeross.ai/solutions/it/performance-and-reports/use-cases/mttr-on-causes)
- [Show how much noise was actually removed](https://www.aeross.ai/solutions/it/performance-and-reports/use-cases/prove-the-noise-went-down)
- [Report availability from measurements you can point at](https://www.aeross.ai/solutions/it/performance-and-reports/use-cases/availability-you-can-defend)
- [Build the board your team actually watches](https://www.aeross.ai/solutions/it/performance-and-reports/use-cases/build-your-own-board)
- [Rank the portfolio on criteria you chose](https://www.aeross.ai/solutions/it/portfolio-office/use-cases/rank-with-a-reason)
- [See where the money runs out on the list](https://www.aeross.ai/solutions/it/portfolio-office/use-cases/where-the-money-runs-out)
- [Take committed and actual cost from your own paper](https://www.aeross.ai/solutions/it/portfolio-office/use-cases/money-from-your-own-paper)
- [Show health as five things, and grey when you do not know](https://www.aeross.ai/solutions/it/portfolio-office/use-cases/grey-means-we-do-not-know)
- [Let portfolio owners see across without seeing everything](https://www.aeross.ai/solutions/it/portfolio-office/use-cases/summaries-not-everything)
- [Leave a meeting with owned tasks, not notes](https://www.aeross.ai/solutions/it/rallo/use-cases/meeting-leaves-owned-tasks)
- [Open the war room from the incident itself](https://www.aeross.ai/solutions/it/rallo/use-cases/war-room-from-the-incident)
- [Give every meeting an agenda people see before joining](https://www.aeross.ai/solutions/it/rallo/use-cases/agenda-before-anyone-joins)
- [Keep the assistant in the room proposing, never acting](https://www.aeross.ai/solutions/it/rallo/use-cases/assistant-proposes-never-acts)
- [Keep recordings only as long as you meant to](https://www.aeross.ai/solutions/it/rallo/use-cases/recordings-that-expire)
- [Put every action an agent takes on one path](https://www.aeross.ai/solutions/it/kernel-and-gateway/use-cases/one-path-for-every-act)
- [Stop one agent, or all of them, at once](https://www.aeross.ai/solutions/it/kernel-and-gateway/use-cases/stop-one-agent-or-all)
- [Make a delete something you can undo](https://www.aeross.ai/solutions/it/kernel-and-gateway/use-cases/delete-that-can-come-back)
- [Decide where each kind of AI request may go](https://www.aeross.ai/solutions/it/kernel-and-gateway/use-cases/where-ai-requests-may-go)
- [Know exactly what these controls cover](https://www.aeross.ai/solutions/it/kernel-and-gateway/use-cases/what-the-controls-cover)
- [Open a client file instead of an email chain](https://www.aeross.ai/solutions/financial/client-onboarding/use-cases/one-file-not-an-inbox)
- [Know exactly who does the screening](https://www.aeross.ai/solutions/financial/client-onboarding/use-cases/we-do-not-screen)
- [Hold the file until the right people have signed](https://www.aeross.ai/solutions/financial/client-onboarding/use-cases/held-until-signed)
- [Produce the evidence without assembling it](https://www.aeross.ai/solutions/financial/client-onboarding/use-cases/evidence-without-assembling-it)
- [Get your own process, not a template to bend](https://www.aeross.ai/solutions/financial/client-onboarding/use-cases/raised-not-configured)
- [Turn a notice of loss into work with an owner](https://www.aeross.ai/solutions/financial/claims/use-cases/claim-arrives-as-work)
- [Catch the claim that is about to miss its promise](https://www.aeross.ai/solutions/financial/claims/use-cases/about-to-miss-the-promise)
- [Keep settlement a decision a person makes](https://www.aeross.ai/solutions/financial/claims/use-cases/nothing-settles-itself)
- [Work the claim here, keep your claims system the record](https://www.aeross.ai/solutions/financial/claims/use-cases/claims-system-stays-the-record)
- [Keep a surge visible instead of improvised](https://www.aeross.ai/solutions/financial/claims/use-cases/a-surge-is-still-work)
- [Refer the moment a risk is above authority](https://www.aeross.ai/solutions/financial/underwriting-referrals/use-cases/refer-above-authority)
- [Make delegated authority a list, not a convention](https://www.aeross.ai/solutions/financial/underwriting-referrals/use-cases/authority-is-a-list)
- [Give the underwriter the file, not a forwarded email](https://www.aeross.ai/solutions/financial/underwriting-referrals/use-cases/the-file-not-the-email)
- [Keep a referral moving when someone is away](https://www.aeross.ai/solutions/financial/underwriting-referrals/use-cases/referral-does-not-stall)
- [Know what we do not decide](https://www.aeross.ai/solutions/financial/underwriting-referrals/use-cases/we-do-not-underwrite)
- [Turn a break into work with an owner](https://www.aeross.ai/solutions/financial/payment-exceptions/use-cases/exception-becomes-work)
- [Hold a batch as a decision, not a phone call](https://www.aeross.ai/solutions/financial/payment-exceptions/use-cases/hold-and-release)
- [Know that nothing here moves money](https://www.aeross.ai/solutions/financial/payment-exceptions/use-cases/nothing-moves-money)
- [Work breaks against the deadline that matters](https://www.aeross.ai/solutions/financial/payment-exceptions/use-cases/deadline-on-every-break)
- [Keep your ledger the ledger](https://www.aeross.ai/solutions/financial/payment-exceptions/use-cases/ledger-stays-the-ledger)
- [Get evidence as a by-product of doing the work](https://www.aeross.ai/solutions/financial/risk-and-evidence/use-cases/evidence-as-a-by-product)
- [Know exactly how strong the record is](https://www.aeross.ai/solutions/financial/risk-and-evidence/use-cases/nobody-can-edit-it)
- [Export the trail the day it is asked for](https://www.aeross.ai/solutions/financial/risk-and-evidence/use-cases/export-when-asked)
- [Know which controls we do not enforce](https://www.aeross.ai/solutions/financial/risk-and-evidence/use-cases/controls-we-do-not-enforce)
- [Keep the evidence inside the organisation](https://www.aeross.ai/solutions/financial/risk-and-evidence/use-cases/evidence-stays-inside)

## Insights

- [The execution graph, in plain words](https://www.aeross.ai/insights/execution-graphs): A ticket queue is a list. An execution graph is the same work stored so every case, project, approval and outcome knows its neighbours, carries its evidence, and records who or which agent may act on it and how far.
- [Why hundreds of tools became a coordination problem](https://www.aeross.ai/insights/why-saas-fragmentation-is-an-organizational-crisis): Every application owns a slice of the truth and keeps it. People absorbed the gaps; agents cannot. The fix is not one vendor for everything but one record above the tools, which they feed through connectors.
- [The hidden cost of keeping systems in step by hand](https://www.aeross.ai/insights/hidden-cost-of-human-coordination): Senior people spend their week carrying status between systems, chasing approvals and re-deciding decided things. It is on no invoice and it grows faster than headcount. The fix is a record that coordinates itself.
- [From reports to action: service management that acts](https://www.aeross.ai/insights/rise-of-organizational-intelligence-systems): Business intelligence told companies what happened. Agentic service management watches today's numbers, reasons against the company's commitments, and takes the next step on the record, within limits a person set.
- [How a company raised with agents is built differently](https://www.aeross.ai/insights/why-ai-native-companies-will-be-built-differently): Companies born in the cloud never built a server room. Companies raised with agents in the desk from day one never build the coordinating layers. Fewer hand-offs, written authority, one audit trail, and decisions against today's numbers.
- [What "agentic" means on a service desk](https://www.aeross.ai/insights/what-agentic-actually-means-in-production): In a deck, agentic means the software acts alone. On a real desk it means a worker with a written contract: what it owns, what it may do by itself, what it must write down, and how it is stopped.
- [Why we call AEROSS a system, not a tool](https://www.aeross.ai/insights/the-os-metaphor-is-not-a-metaphor): A tool does one thing when asked. A system schedules the work, enforces the rules and keeps one record whether anyone is watching or not. A service desk needs all three, and that is the difference you are buying.
- [Why every company will run its desk on one record by 2027](https://www.aeross.ai/insights/every-company-needs-an-execution-graph-by-2027): A request, the project it becomes, the approval it needs and the outcome it serves, on one record. Agents cannot work a desk spread across four systems, which makes one record a 2027 requirement, not a 2030 ambition.
- [What is an Agentic Execution OS?](https://www.aeross.ai/insights/what-is-an-agentic-execution-os): AI copilots are point tools. The Agentic Execution OS is a runtime — a coordination layer where agents, workflows, and decisions share one strategic graph and one governance contract.
- [The strategy-execution gap is an AI coordination problem](https://www.aeross.ai/insights/strategy-execution-gap-is-an-ai-coordination-problem): The 67% strategy failure rate isn't a planning problem — it's an orchestration problem. Adding more AI without a coordination layer makes the drift worse, not better.
- [From copilots to coordinated execution](https://www.aeross.ai/insights/from-copilots-to-coordinated-execution): Copilots make individuals faster. They don't make organizations smarter. The architectural shift from per-seat assistants to a governed agent runtime.
- [Why workflow software dies in the agent era](https://www.aeross.ai/insights/why-workflow-software-dies-in-the-agent-era): Status fields, assignees, and approval chains were designed for humans clicking buttons. They cannot represent what an agent actually does — and that's why workflow tools are about to be rebuilt around a different primitive.
- [AI agents need execution systems](https://www.aeross.ai/insights/ai-agents-need-execution-systems): An agent is not a feature. It is a process that holds state, takes action, and reports evidence — and processes need a target, an autonomy contract, an evidence channel, and a halt path. Without those four services, every agent reinvents the runtime badly.
- [Dashboards don't execute work](https://www.aeross.ai/insights/dashboards-dont-execute-work): A dashboard is a window onto a system, not a system. It cannot decide, it cannot act, and it cannot remember — three primitives of execution that the BI era quietly outsourced back to the people staring at the screen.
- [The coordination bottleneck is the next enterprise crisis](https://www.aeross.ai/insights/coordination-bottleneck-is-the-next-enterprise-crisis): Throughput is solved. Coordination is not. Every function ships faster, every team runs more agents, and the layer that should reconcile what they are doing against an outcome that still matters does not exist.
- [Why AI automation fails at organizational scale](https://www.aeross.ai/insights/why-ai-automation-fails-at-organizational-scale): Brilliant pilot, painful rollout, quiet wind-down. The pattern repeats because automation at organizational scale is a coordination problem, and almost no one is shipping it as one — orphaned, conflicting, and uninspectable automation are three faces of one missing layer.
- [From task management to execution intelligence](https://www.aeross.ai/insights/from-task-management-to-execution-intelligence): Task management told you what was being worked on. Execution intelligence tells you whether the work still matters — and it is the upgrade every SaaS-era team has to make once agents enter the loop.
- [Execution is becoming infrastructure](https://www.aeross.ai/insights/execution-is-becoming-infrastructure): Storage moved down the stack. Identity moved down the stack. Execution is next — the mechanics by which an organization decides, assigns, governs, and proves what happened are becoming a substrate that the application layer above stops trying to reinvent.
- [The missing operating system of the AI era](https://www.aeross.ai/insights/missing-operating-system-of-the-ai-era): The frontier labs shipped the models. The application layer shipped the copilots. The OS in between — the layer that schedules agents, governs autonomy, and writes one execution audit log — is missing. Missing operating systems are how eras end.
- [Autonomous organizations need an execution layer](https://www.aeross.ai/insights/autonomous-organizations-need-an-execution-layer): Autonomy without an execution layer is theater. A real autonomous organization needs a shared graph of work, a shared autonomy contract, a shared evidence channel, and a shared halt path — properties of the substrate, not the agent.
- [What is an execution graph?](https://www.aeross.ai/insights/what-is-an-execution-graph): A typed, directed graph in which every node represents a unit of organizational work and every edge carries strategic meaning — actionable, governable, evidential. The canonical primer for the concept AEROSS is built on.
- [Workflow graphs vs execution graphs](https://www.aeross.ai/insights/workflow-graphs-vs-execution-graphs): Workflow graphs encode procedure. Execution graphs encode commitment. Procedure is local. Commitment is canonical. Two structures often confused — and the confusion is where most modern coordination tooling fails.
- [Why organizational knowledge must become executable](https://www.aeross.ai/insights/why-organizational-knowledge-must-become-executable): Knowledge in a document is a holding pattern. Knowledge in an execution graph is a runtime constraint. The difference is whether the system actually obeys it — and at agent speed, prose-based knowledge no longer binds.
- [Execution graphs and the future of coordination](https://www.aeross.ai/insights/execution-graphs-and-the-future-of-coordination): Coordination is a data-structure problem. The data structure is an execution graph. Once two teams operate against the same graph, coordination stops being a conversation and starts being a property of the system.
- [How execution graphs create autonomous organizations](https://www.aeross.ai/insights/how-execution-graphs-create-autonomous-organizations): Autonomy is not a property of the agent. It is a property of the graph the agent operates in. Bound action, explicit authority, single evidence channel, reversible decisions — four properties that make autonomy compound rather than fragment.
- [Why AI agents fail without shared context](https://www.aeross.ai/insights/why-ai-agents-fail-without-shared-context): The agent reliability problem is a context problem. The context cannot live in a prompt. It has to live in a substrate the agent reads at the moment of action — strategic context, authority context, peer context.
- [Multi-agent systems need orchestration layers](https://www.aeross.ai/insights/multi-agent-systems-need-orchestration-layers): Multi-agent systems do not coordinate by talking to each other. They coordinate by acting against shared state, under shared policy, with shared evidence. The chat-based coordination pattern does not survive contact with a real organization.
- [The difference between AI agents and execution agents](https://www.aeross.ai/insights/difference-between-ai-agents-and-execution-agents): An AI agent is a model in a loop. An execution agent is a process inside a runtime. The model can be the same. Only one is safe on a critical path — and the upgrade is the substrate, not the model.
- [Why agentic systems need governance](https://www.aeross.ai/insights/why-agentic-systems-need-governance): Governance at agent speed is not a quarterly review. It is a runtime check on every action, before the action commits. Halt, autonomy, confidence, constraint — four enforcement points that have to live in the substrate, not the agent.
- [The future is not AI assistants — it's execution systems](https://www.aeross.ai/insights/future-is-not-ai-assistants-its-execution-systems): Assistants make individuals faster. Execution systems make organizations different. The next decade of enterprise software will be defined by which posture a company takes — and the leverage gap between the two will not be subtle.
- [The one-sentence definition of an Agentic Execution OS](https://www.aeross.ai/insights/one-sentence-definition-agentic-execution-os): An Agentic Execution OS is the runtime where strategy, agents, and humans operate against the same governed graph of work. Everything else is decoration.
- [Coordination is the new compute](https://www.aeross.ai/insights/coordination-is-the-new-compute): Compute is no longer the constraint. Coordination is. The next decade of enterprise leverage comes from the substrate that schedules decisions, not the one that schedules cycles.
- [Strategy without a runtime is just a deck](https://www.aeross.ai/insights/strategy-without-runtime-is-a-deck): If your strategy isn't running on a substrate that decides, assigns, and proves, it's a slide. The shift from strategy-as-document to strategy-as-runtime is the unlock.
- [Jira was built for humans typing tickets](https://www.aeross.ai/insights/jira-was-built-for-humans-typing-tickets): Issue trackers encode the assumption that a human will read, decide, and type. Once an agent enters that loop, every assumption breaks — silently and at scale.
- [The OKR industrial complex](https://www.aeross.ai/insights/the-okr-industrial-complex): OKRs became a cottage industry of consultants, templates, and quarterly theater — most of it disconnected from the system that actually executes. The problem isn't the framework. It's the absence of a runtime.
- [Slack is not a coordination layer](https://www.aeross.ai/insights/slack-is-not-a-coordination-layer): Slack is a transport. It carries messages. It does not hold state, enforce policy, or write evidence. Asking it to coordinate an organization is a category error — and the category error is expensive.
- [Why dashboards multiply faster than decisions](https://www.aeross.ai/insights/dashboards-multiply-faster-than-decisions): Every team ships a dashboard. Almost no team ships a decision the dashboard caused. The proliferation isn't a measurement problem — it's a substrate problem.
- [The PMO is the bottleneck, not the solution](https://www.aeross.ai/insights/the-pmo-is-the-bottleneck-not-the-solution): PMOs were created to absorb the gap between strategy and execution. They turned out to be the gap. Compressing them away requires putting the substrate they're impersonating into software.
- [Why "single source of truth" projects always fail](https://www.aeross.ai/insights/why-single-source-of-truth-projects-fail): "Single source of truth" is sold as a database problem. It is a substrate problem. You don't get one truth by consolidating tools — you get it by changing the layer where the truth lives.
- [Execution is the new database](https://www.aeross.ai/insights/execution-is-the-new-database): Twenty years ago, the database moved down the stack and became infrastructure. Execution is doing the same thing right now — and the application layer above is about to look completely different.
- [The four layers of the AI-native stack](https://www.aeross.ai/insights/four-layers-of-the-ai-native-stack): Models, orchestration, execution, and policy. Four layers. Most enterprises ship the first two and pretend the other two will resolve themselves. They will not.
- [Why coordination will be a platform category](https://www.aeross.ai/insights/coordination-will-be-a-platform-category): Cloud was a category. Data was a category. AI is a category. Coordination — the layer that binds them to outcomes — is next. Categories don't appear; they are named into existence.
- [The missing primitive between agents and outcomes](https://www.aeross.ai/insights/missing-primitive-between-agents-and-outcomes): Agents act. Outcomes are reported. The primitive in the middle — the one that says this action satisfied that outcome — does not exist in most stacks. That gap is where AI value goes to die.
- [Cloud, data, AI — coordination is next](https://www.aeross.ai/insights/cloud-data-ai-coordination-is-next): Each platform shift named the new layer before it was obvious. Cloud was infrastructure. Data was a warehouse. AI is a model gateway. Coordination is the next noun.
- [An Execution Graph in 90 seconds](https://www.aeross.ai/insights/execution-graph-in-90-seconds): Nodes are units of work. Edges carry strategic meaning. Authority, evidence, and rollback are first-class fields on every node. That's the whole concept — and it changes everything above it.
- [The five edges every Execution Graph needs](https://www.aeross.ai/insights/five-edges-every-execution-graph-needs): Supports, blocks, depends-on, evidences, supersedes. Five typed edges. Skip any of them and the graph stops being executable.
- [Why a graph beats a hierarchy for autonomous work](https://www.aeross.ai/insights/graph-beats-hierarchy-for-autonomous-work): Hierarchies routed information up to a decider. Autonomous work doesn't have time for the trip. The graph keeps the decision in one place, in real time.
- [Execution Graphs make strategy queryable](https://www.aeross.ai/insights/execution-graphs-make-strategy-queryable): The first time you can ask the system "what work is currently in service of this outcome?" — and get a real answer in milliseconds — you stop running the company the old way.
- [The provenance problem and how graphs solve it](https://www.aeross.ai/insights/the-provenance-problem): At agent speed, "who did what, why, with what authority" is asked every minute. Without provenance baked into the substrate, the only honest answer is "we don't know."
- [Execution Graphs vs knowledge graphs](https://www.aeross.ai/insights/execution-graphs-vs-knowledge-graphs): Knowledge graphs describe the world. Execution graphs change it. The distinction is small. The architectural consequence is enormous.
- [The graph is the audit log](https://www.aeross.ai/insights/the-graph-is-the-audit-log): If your audit log is a separate system, you have two systems disagreeing. Put the audit on the graph and disagreement becomes structurally impossible.
- [Agents need a target, not a prompt](https://www.aeross.ai/insights/agents-need-a-target-not-a-prompt): A prompt is a request. A target is an outcome the agent owns. The architectural shift from prompt-based to target-based agents is what turns a demo into a system.
- [The halt path is more important than the happy path](https://www.aeross.ai/insights/halt-path-is-more-important-than-happy-path): Demos optimize the happy path. Production systems are defined by the halt path. Trust comes from how cleanly the system stops, not from how impressively it runs.
- [Multi-agent without governance is multi-failure](https://www.aeross.ai/insights/multi-agent-without-governance-is-multi-failure): One agent without governance is a risk. Ten agents without governance is a system that cannot be debugged. Governance scales sublinearly without a substrate.
- [Why every agent needs a confidence budget](https://www.aeross.ai/insights/every-agent-needs-a-confidence-budget): An agent that runs forever at the same autonomy level is a bug waiting to commit. A confidence budget makes autonomy a function of recent evidence — not a permanent grant.
- [The autonomy contract pattern](https://www.aeross.ai/insights/the-autonomy-contract-pattern): An autonomy contract is the smallest unit that lets a team safely deploy an agent: target, authority, evidence channel, halt path. Four fields. Skip any of them and the deployment is a bet.
- [Evidence channels: the missing primitive for agent trust](https://www.aeross.ai/insights/evidence-channels-the-missing-primitive-for-trust): Operators don't trust an agent's claims. They trust the channel the claims arrive on. Without a single, governed evidence channel, every agent is graded by vibes.
- [The org chart is dying — the execution graph replaces it](https://www.aeross.ai/insights/org-chart-is-dying-execution-graph-replaces-it): The org chart described who reports to whom. The execution graph describes who is acting on what, with what authority, against what outcome. Only one of those is useful at agent speed.
- [Why the next trillion-dollar category is coordination](https://www.aeross.ai/insights/next-trillion-dollar-category-is-coordination): Compute, storage, data, AI — each took a trillion dollars of enterprise spend by becoming infrastructure. Coordination is the next layer to take its turn, and the timeline is shorter than any prior cycle.
- [AI-native companies will not have project managers](https://www.aeross.ai/insights/ai-native-companies-will-not-have-pms): Project management is human substrate. AI-native companies install software substrate. The role doesn't disappear — it moves up the stack from coordinator to designer.
- [The end of the SaaS suite era](https://www.aeross.ai/insights/end-of-the-saas-suite-era): Suites won when integration was hard. Once execution becomes infrastructure, suites lose their reason to exist — best-of-breed surfaces sit on a shared substrate and the bundle is unbundled by physics.
- [What replaces the dashboard](https://www.aeross.ai/insights/what-replaces-the-dashboard): The dashboard is a window onto state. Its replacement is a runtime that decides, acts, and proves. Operators stop reading and start governing.
- [From Asana to AEROSS: when task tools stop scaling](https://www.aeross.ai/insights/from-asana-to-aeross): Task tools work until you add agents. The first agent does not break Asana. The fifth one does — and the breakage is silent until the audit shows up.
- [Beyond Notion: where strategy docs break](https://www.aeross.ai/insights/beyond-notion-strategy-docs): Strategy in a doc is unbinding. It is read once, agreed to, and quietly disagreed with by every team that touches it. The fix is not better docs — it is moving strategy onto the runtime.
- [After Monday.com: workflows for autonomous work](https://www.aeross.ai/insights/after-monday-workflows-for-autonomous-work): Workflow tools assume a person watches each step. Autonomous work has no watcher. The substrate has to do the watching — or the watcher comes back, just under a different title.
- [From Jira to Execution Graphs: a migration mental model](https://www.aeross.ai/insights/from-jira-to-execution-graphs-migration-mental-model): Don't migrate Jira. Mount it. The substrate sits beneath the issue tracker and inherits the data. The migration is conceptual, not destructive.
- [ChatGPT is not your execution layer](https://www.aeross.ai/insights/chatgpt-is-not-your-execution-layer): A chat surface is a great client. It is not a substrate. Asking a chat surface to coordinate an organization is the most expensive shortcut on the market.

## OS Blueprints

- [oilgas-upstream-production-excellence](https://www.aeross.ai/blueprints/oilgas-upstream-production-excellence)
- [healthcare-acute-care-patient-flow](https://www.aeross.ai/blueprints/healthcare-acute-care-patient-flow)
- [healthcare-surge-crisis-warroom](https://www.aeross.ai/blueprints/healthcare-surge-crisis-warroom)
- [healthcare-vbc-transformation](https://www.aeross.ai/blueprints/healthcare-vbc-transformation)
- [healthcare-joint-commission-readiness](https://www.aeross.ai/blueprints/healthcare-joint-commission-readiness)
- [healthcare-ambulatory-access-no-show](https://www.aeross.ai/blueprints/healthcare-ambulatory-access-no-show)
- [healthcare-or-throughput-fcots](https://www.aeross.ai/blueprints/healthcare-or-throughput-fcots)
- [healthcare-denial-prevention-ar-velocity](https://www.aeross.ai/blueprints/healthcare-denial-prevention-ar-velocity)
- [healthcare-collaborative-care-model](https://www.aeross.ai/blueprints/healthcare-collaborative-care-model)
- [healthcare-ransomware-resilience-downtime](https://www.aeross.ai/blueprints/healthcare-ransomware-resilience-downtime)
- [healthcare-hah-virtual-care-launch](https://www.aeross.ai/blueprints/healthcare-hah-virtual-care-launch)
- [healthcare-bed-management-throughput-command](https://www.aeross.ai/blueprints/healthcare-bed-management-throughput-command)
- [healthcare-nurse-staffing-floatpool](https://www.aeross.ai/blueprints/healthcare-nurse-staffing-floatpool)
- [healthcare-transfer-center-capacity-command](https://www.aeross.ai/blueprints/healthcare-transfer-center-capacity-command)
- [healthcare-referral-leakage-network-integrity](https://www.aeross.ai/blueprints/healthcare-referral-leakage-network-integrity)
- [healthcare-sepsis-bundle-mortality-reduction](https://www.aeross.ai/blueprints/healthcare-sepsis-bundle-mortality-reduction)
- [healthcare-inpatient-harm-reduction-falls-hai](https://www.aeross.ai/blueprints/healthcare-inpatient-harm-reduction-falls-hai)
- [healthcare-readmission-reduction-30day](https://www.aeross.ai/blueprints/healthcare-readmission-reduction-30day)
- [healthcare-postacute-network-coordination](https://www.aeross.ai/blueprints/healthcare-postacute-network-coordination)
- [healthcare-ccm-rpm-at-scale](https://www.aeross.ai/blueprints/healthcare-ccm-rpm-at-scale)
- [education-k12-academic-achievement](https://www.aeross.ai/blueprints/education-k12-academic-achievement)
- [finance-quarterly-close-fpa](https://www.aeross.ai/blueprints/finance-quarterly-close-fpa)
- [banking-retail-branch-performance](https://www.aeross.ai/blueprints/banking-retail-branch-performance)
- [wealth-portfolio-growth-retention](https://www.aeross.ai/blueprints/wealth-portfolio-growth-retention)
- [pharma-clinical-trial-acceleration](https://www.aeross.ai/blueprints/pharma-clinical-trial-acceleration)
- [insurance-claims-cycle-time](https://www.aeross.ai/blueprints/insurance-claims-cycle-time)
- [retail-ecomm-conversion-aov](https://www.aeross.ai/blueprints/retail-ecomm-conversion-aov)
- [manufacturing-oee-improvement](https://www.aeross.ai/blueprints/manufacturing-oee-improvement)
- [logistics-otd-cost-to-serve](https://www.aeross.ai/blueprints/logistics-otd-cost-to-serve)
- [saas-nrr-activation](https://www.aeross.ai/blueprints/saas-nrr-activation)
- [construction-margin-safety](https://www.aeross.ai/blueprints/construction-margin-safety)
- [hospitality-revpar-loyalty](https://www.aeross.ai/blueprints/hospitality-revpar-loyalty)
- [public-sector-citizen-service](https://www.aeross.ai/blueprints/public-sector-citizen-service)
- [legal-matter-profitability](https://www.aeross.ai/blueprints/legal-matter-profitability)
- [mfg-oee-uplift](https://www.aeross.ai/blueprints/mfg-oee-uplift)
- [mfg-safety-zero-harm](https://www.aeross.ai/blueprints/mfg-safety-zero-harm)
- [mfg-quality-ncr-reduction](https://www.aeross.ai/blueprints/mfg-quality-ncr-reduction)
- [mfg-predictive-maintenance](https://www.aeross.ai/blueprints/mfg-predictive-maintenance)
- [mfg-changeover-smed](https://www.aeross.ai/blueprints/mfg-changeover-smed)
- [mfg-supply-continuity](https://www.aeross.ai/blueprints/mfg-supply-continuity)
- [mfg-supplier-quality](https://www.aeross.ai/blueprints/mfg-supplier-quality)
- [mfg-sop-cycle](https://www.aeross.ai/blueprints/mfg-sop-cycle)
- [mfg-energy-decarb](https://www.aeross.ai/blueprints/mfg-energy-decarb)
- [mfg-iso-9001-readiness](https://www.aeross.ai/blueprints/mfg-iso-9001-readiness)
- [mfg-fda-21cfr-part11](https://www.aeross.ai/blueprints/mfg-fda-21cfr-part11)
- [mfg-shift-handoff](https://www.aeross.ai/blueprints/mfg-shift-handoff)
- [mfg-warehouse-fulfillment](https://www.aeross.ai/blueprints/mfg-warehouse-fulfillment)
- [mfg-newproduct-introduction](https://www.aeross.ai/blueprints/mfg-newproduct-introduction)
- [mfg-cyber-ot-resilience](https://www.aeross.ai/blueprints/mfg-cyber-ot-resilience)
- [mfg-workforce-skills-matrix](https://www.aeross.ai/blueprints/mfg-workforce-skills-matrix)
- [og-production-uplift](https://www.aeross.ai/blueprints/og-production-uplift)
- [og-process-safety-psm](https://www.aeross.ai/blueprints/og-process-safety-psm)
- [og-asset-integrity](https://www.aeross.ai/blueprints/og-asset-integrity)
- [og-predictive-maintenance](https://www.aeross.ai/blueprints/og-predictive-maintenance)
- [og-turnaround-readiness](https://www.aeross.ai/blueprints/og-turnaround-readiness)
- [og-well-intervention](https://www.aeross.ai/blueprints/og-well-intervention)
- [og-pipeline-integrity](https://www.aeross.ai/blueprints/og-pipeline-integrity)
- [og-flaring-emissions](https://www.aeross.ai/blueprints/og-flaring-emissions)
- [og-methane-leak-ldar](https://www.aeross.ai/blueprints/og-methane-leak-ldar)
- [og-decarbonization-scope12](https://www.aeross.ai/blueprints/og-decarbonization-scope12)
- [og-ot-cyber-resilience](https://www.aeross.ai/blueprints/og-ot-cyber-resilience)
- [og-permit-to-work-digital](https://www.aeross.ai/blueprints/og-permit-to-work-digital)
- [og-supply-chain-resilience](https://www.aeross.ai/blueprints/og-supply-chain-resilience)
- [og-drilling-performance](https://www.aeross.ai/blueprints/og-drilling-performance)
- [og-energy-water-mgmt](https://www.aeross.ai/blueprints/og-energy-water-mgmt)
- [og-emergency-response](https://www.aeross.ai/blueprints/og-emergency-response)
- [fin-close-acceleration](https://www.aeross.ai/blueprints/fin-close-acceleration)
- [fin-fpa-rolling-forecast](https://www.aeross.ai/blueprints/fin-fpa-rolling-forecast)
- [fin-margin-uplift](https://www.aeross.ai/blueprints/fin-margin-uplift)
- [fin-working-capital](https://www.aeross.ai/blueprints/fin-working-capital)
- [fin-sox-controls-modernization](https://www.aeross.ai/blueprints/fin-sox-controls-modernization)
- [fin-revenue-assurance](https://www.aeross.ai/blueprints/fin-revenue-assurance)
- [fin-capital-allocation](https://www.aeross.ai/blueprints/fin-capital-allocation)
- [fin-cost-takeout](https://www.aeross.ai/blueprints/fin-cost-takeout)
- [fin-tax-provision-cycle](https://www.aeross.ai/blueprints/fin-tax-provision-cycle)
- [fin-treasury-liquidity](https://www.aeross.ai/blueprints/fin-treasury-liquidity)
- [fin-procure-to-pay-control](https://www.aeross.ai/blueprints/fin-procure-to-pay-control)
- [fin-esg-financial-disclosure](https://www.aeross.ai/blueprints/fin-esg-financial-disclosure)
- [fin-ma-integration-finance](https://www.aeross.ai/blueprints/fin-ma-integration-finance)
- [saas-pipeline-velocity](https://www.aeross.ai/blueprints/saas-pipeline-velocity)
- [saas-icp-tightening](https://www.aeross.ai/blueprints/saas-icp-tightening)
- [saas-activation-ttv](https://www.aeross.ai/blueprints/saas-activation-ttv)
- [saas-onboarding-orchestration](https://www.aeross.ai/blueprints/saas-onboarding-orchestration)
- [saas-feature-adoption-loop](https://www.aeross.ai/blueprints/saas-feature-adoption-loop)
- [saas-power-user-flywheel](https://www.aeross.ai/blueprints/saas-power-user-flywheel)
- [saas-expansion-motion](https://www.aeross.ai/blueprints/saas-expansion-motion)
- [saas-pricing-packaging-refit](https://www.aeross.ai/blueprints/saas-pricing-packaging-refit)
- [saas-nrr-recovery](https://www.aeross.ai/blueprints/saas-nrr-recovery)
- [saas-churn-early-warning](https://www.aeross.ai/blueprints/saas-churn-early-warning)
- [saas-renewal-orchestration](https://www.aeross.ai/blueprints/saas-renewal-orchestration)
- [saas-advocacy-flywheel](https://www.aeross.ai/blueprints/saas-advocacy-flywheel)
- [saas-customer-marketing](https://www.aeross.ai/blueprints/saas-customer-marketing)
- [saas-plg-sales-handoff](https://www.aeross.ai/blueprints/saas-plg-sales-handoff)
- [construction-preconstruction-estimating](https://www.aeross.ai/blueprints/construction-preconstruction-estimating)
- [construction-bid-pursuit-winroom](https://www.aeross.ai/blueprints/construction-bid-pursuit-winroom)
- [construction-schedule-recovery](https://www.aeross.ai/blueprints/construction-schedule-recovery)
- [construction-rfi-submittal-velocity](https://www.aeross.ai/blueprints/construction-rfi-submittal-velocity)
- [construction-change-order-discipline](https://www.aeross.ai/blueprints/construction-change-order-discipline)
- [construction-cost-to-complete](https://www.aeross.ai/blueprints/construction-cost-to-complete)
- [construction-jobsite-safety-zero-harm](https://www.aeross.ai/blueprints/construction-jobsite-safety-zero-harm)
- [construction-quality-punchlist-closeout](https://www.aeross.ai/blueprints/construction-quality-punchlist-closeout)
- [construction-subcontractor-performance](https://www.aeross.ai/blueprints/construction-subcontractor-performance)
- [construction-procurement-leadtime](https://www.aeross.ai/blueprints/construction-procurement-leadtime)
- [construction-equipment-utilization](https://www.aeross.ai/blueprints/construction-equipment-utilization)
- [construction-warranty-defect-liability](https://www.aeross.ai/blueprints/construction-warranty-defect-liability)
- [construction-esg-embodied-carbon](https://www.aeross.ai/blueprints/construction-esg-embodied-carbon)
- [construction-workforce-craft-readiness](https://www.aeross.ai/blueprints/construction-workforce-craft-readiness)
- [mkt-demand-engine](https://www.aeross.ai/blueprints/mkt-demand-engine)
- [mkt-abm-orchestration](https://www.aeross.ai/blueprints/mkt-abm-orchestration)
- [mkt-content-velocity](https://www.aeross.ai/blueprints/mkt-content-velocity)
- [mkt-seo-organic-growth](https://www.aeross.ai/blueprints/mkt-seo-organic-growth)
- [mkt-paid-media-efficiency](https://www.aeross.ai/blueprints/mkt-paid-media-efficiency)
- [mkt-lifecycle-crm](https://www.aeross.ai/blueprints/mkt-lifecycle-crm)
- [mkt-product-marketing-launch](https://www.aeross.ai/blueprints/mkt-product-marketing-launch)
- [mkt-brand-share-of-voice](https://www.aeross.ai/blueprints/mkt-brand-share-of-voice)
- [mkt-events-field-pipeline](https://www.aeross.ai/blueprints/mkt-events-field-pipeline)
- [mkt-partner-comarketing](https://www.aeross.ai/blueprints/mkt-partner-comarketing)
- [mkt-customer-advocacy](https://www.aeross.ai/blueprints/mkt-customer-advocacy)
- [mkt-attribution-marketing-ops](https://www.aeross.ai/blueprints/mkt-attribution-marketing-ops)
- [mkt-mar-tech-rationalization](https://www.aeross.ai/blueprints/mkt-mar-tech-rationalization)
- [mkt-icp-positioning](https://www.aeross.ai/blueprints/mkt-icp-positioning)
- [ins-underwriting-discipline](https://www.aeross.ai/blueprints/ins-underwriting-discipline)
- [ins-claims-cycle-time](https://www.aeross.ai/blueprints/ins-claims-cycle-time)
- [ins-fraud-detection-siu](https://www.aeross.ai/blueprints/ins-fraud-detection-siu)
- [ins-distribution-agency-productivity](https://www.aeross.ai/blueprints/ins-distribution-agency-productivity)
- [ins-quote-bind-conversion](https://www.aeross.ai/blueprints/ins-quote-bind-conversion)
- [ins-renewal-retention](https://www.aeross.ai/blueprints/ins-renewal-retention)
- [ins-policyholder-experience-nps](https://www.aeross.ai/blueprints/ins-policyholder-experience-nps)
- [ins-cat-response-readiness](https://www.aeross.ai/blueprints/ins-cat-response-readiness)
- [ins-reserving-actuarial-discipline](https://www.aeross.ai/blueprints/ins-reserving-actuarial-discipline)
- [ins-reinsurance-treaty-optimization](https://www.aeross.ai/blueprints/ins-reinsurance-treaty-optimization)
- [ins-regulatory-compliance-mco](https://www.aeross.ai/blueprints/ins-regulatory-compliance-mco)
- [ins-medical-management-wc-health](https://www.aeross.ai/blueprints/ins-medical-management-wc-health)
- [ins-cyber-risk-product-line](https://www.aeross.ai/blueprints/ins-cyber-risk-product-line)
- [ins-digital-self-service](https://www.aeross.ai/blueprints/ins-digital-self-service)

## Legal

- [Privacy policy](https://www.aeross.ai/legal/privacy): How AEROSS collects, uses and stores personal data, what we never do with it, and the rights you hold over it.
- [Terms of service](https://www.aeross.ai/legal/terms): The terms under which AEROSS is provided, including your rights, our obligations and how the agreement ends.
- [Cookie policy](https://www.aeross.ai/legal/cookies): Which cookies aeross.ai sets, what each is for, and how to refuse the ones that are not necessary.
- [Acceptable use policy](https://www.aeross.ai/legal/acceptable-use): What AEROSS may and may not be used for, including the limits that apply to agents acting on your behalf.
- [Service Level Agreement](https://www.aeross.ai/legal/sla): AEROSS Service Level Agreement: uptime commitments, support response times, credit policies, and escalation procedures for enterprise customers.
- [Compliance](https://www.aeross.ai/legal/compliance): The frameworks AEROSS works to, what is certified today, and what is not — stated plainly rather than implied by a badge.
- [Sub-processors](https://www.aeross.ai/legal/sub-processors): Every third party that processes data on behalf of AEROSS, what each does, and where it operates.
- [Accessibility statement](https://www.aeross.ai/accessibility): How AEROSS approaches accessibility, what we have tested, what we know is not yet right, and how to tell us about a barrier.

## MCP server

- **AEROSS Help KB** — a public, read-only Model Context Protocol server over the AEROSS knowledge base (Streamable HTTP, JSON-RPC 2.0). Tool: `search_aeross_docs(query, limit<=10)`. Endpoint: https://owoejzwbqqftmlryvlqt.functions.supabase.co/help-kb-mcp

## Marks

AEROSS™, Genesis™, Rallo™ and AEROSS Agentic Systems™ are marks of AEROSS Agentic Systems. Third-party names are the marks of their owners.