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Guide · Plan, Build, Govern and secure, Operate

Enterprise AI agents: the complete guide

Enterprise AI agents are software systems that take a goal, plan the steps, call tools and company systems, and act inside limits the company sets. This guide covers the whole lifecycle: what agents are, how to build them, how to govern and secure them, and how to run them in production on Microsoft, AWS and Google clouds.

In this guide: 83 pages

We wrote this guide for two readers at once: the IT leader who has to decide what to allow, and the developer who has to build it. Each page gives the plain idea first and the technical term once, shows the controls, names the trade-offs and says when not to do something. Every product name and status is as of 2 November 2026, and every page ends with a dated list of sources.

The guide follows one lifecycle: Plan, Build, Govern and secure, Operate. The same strip appears on every page with the current phase highlighted. Fourteen topics hang off it, each with its own sub-pages. Pages marked "coming" in the sidebar are in the second release.

The lifecycle, and the topics in each phase

  1. Phase 01

    Plan

    What an agent is, where it pays off, and what the published examples actually show.

  2. Phase 02

    Build

    Tools and MCP, memory, knowledge, orchestration, and the platform you build on.

  3. Phase 03

    Govern and secure

    Registry, identity, guardrails, threats and the regulation that applies.

  4. Phase 04

    Operate

    Tracing, cost, evaluation and the retest when a model changes.

What an enterprise agent is made of

Every topic in the guide maps onto one part of this picture: the request path across the top, and the four controls that sit outside the model along the bottom.

The parts of an enterprise AI agentA request arrives through a channel such as Teams, a web app or an API. The agent, made of a model, instructions and memory, decides what to do and calls tools through a gateway that speaks MCP. The tools reach company systems and data. Four controls sit outside the model: identity, guardrails, observability, and the registry with its approval state.The request pathChannelTeams, web app, API,email or a scheduled jobAgentModel, instructions,memory and the planTool gatewayMCP endpoint, policyon every tool callSystems and dataERP, CRM, SharePoint,databases, other agentsControls that sit outside the modelIdentityIts own identity;for a user or as itselfGuardrailsChecks on input,tool calls and outputObservabilityTraces of every modeland tool call; costRegistryOwner, risk tier,approval stateThe parts of an enterprise AI agentA request arrives through a channel such as Teams, a web app or an API. The agent, made of a model, instructions and memory, decides what to do and calls tools through a gateway that speaks MCP. The tools reach company systems and data. Four controls sit outside the model: identity, guardrails, observability, and the registry with its approval state.The request pathChannelTeams, web app, API,email or a scheduled jobAgentModel, instructions,memory and the planTool gatewayMCP endpoint, policyon every tool callSystems and dataERP, CRM, SharePoint,databases, other agentsControls outside the modelIdentityIts own identity;for a user or as itselfGuardrailsChecks on input,tool calls and outputObservabilityTraces of every modeland tool call; costRegistryOwner, risk tier,approval state
The request path (channel, agent, tool gateway, systems) and the four controls outside the model. The Build topics cover the top row; Govern and secure and Operate cover the bottom.

The fourteen topics

Phase 01

Plan

Phase 02

Build

Phase 03

Govern and secure

Phase 04

Operate

Reference

Glossary

Start here, by role

How do Microsoft, AWS and Google compare?

The building blocks every cloud converged on in 2026, named the way each vendor names them. Statuses are as the vendor pages showed on 2 November 2026; GA means generally available.

Capability, Microsoft, AWS, Google

CapabilityMicrosoftAWSGoogle
Build toolCopilot Studio (low-code) and Microsoft Foundry Agent Service (pro-code); Microsoft Agent Framework 1.0 (GA 3 Apr 2026) replaces Semantic Kernel and AutoGenAmazon Bedrock AgentCore with Strands Agents or any framework; Amazon Bedrock Agents is now "Classic" and closed to new customers since 30 Jul 2026Agent Development Kit (ADK Python 2.0 GA 19 May 2026) and Agent Designer in Gemini Enterprise
RuntimeFoundry hosted agents (GA per Azure update of 2 Jun 2026; Microsoft’s Build recap said early July) and prompt agents; Copilot Studio harnessesAgentCore Runtime (GA 13 Oct 2025); managed harness GA 17 Jun 2026Agent Runtime, formerly Vertex AI Agent Engine (renamed 22 Apr 2026)
IdentityMicrosoft Entra Agent ID (GA, Learn page dated 1 May 2026)AgentCore Identity (GA 13 Oct 2025)Agent Identity, SPIFFE-based (API in preview since 18 Jun 2026)
RegistryAgent 365 registry (GA 1 May 2026); sync with AWS and Google in previewAWS Agent Registry (GA 31 Aug 2026)Agent Registry (GA 18 Jun 2026)
GatewayFoundry Toolboxes (preview); Azure API Management AI gateway with MCP supportAgentCore Gateway (GA 13 Oct 2025) with AgentCore Policy (GA 3 Mar 2026)Agent Gateway (GA 18 Jun 2026)
GuardrailsAzure AI Content Safety Prompt Shields (GA since Aug 2024); Foundry agent guardrails on tool calls (preview)Amazon Bedrock Guardrails (GA); Automated Reasoning checks (GA 6 Aug 2025)Model Armor (since Feb 2025); Agent Gateway integration GA 24 Jun 2026
ObservabilityFoundry tracing (GA for prompt and hosted agents; workflow agents preview); Application Insights Agents view (preview)AgentCore Observability and CloudWatch generative AI observability (GA 13 Oct 2025)Agent Observability (GA 18 Jun 2026)
EvaluationFoundry agent evaluators (several in preview); Copilot Studio agent evaluation (GA Mar 2026)AgentCore Evaluations (GA 31 Mar 2026, 13 built-in evaluators)Gen AI evaluation service with agent evaluation; ADK evaluation

Names changed often in 2026: Azure AI Foundry became Microsoft Foundry, Vertex AI became Gemini Enterprise Agent Platform, and Google Agentspace became Gemini Enterprise. The guide uses the current name and mentions the old one once.

Enterprise examples

The examples topic collects publicly reported deployments by function and industry, with the figures each company or vendor published. None of these is a QueryNow client, and each figure is the publisher’s own claim.

Cox Automotive

Scaled from zero to 17 production AI agents in under a year on Amazon Bedrock AgentCore, using AgentCore Identity for permission management.

Publicly reported by AWS, case study page undated (copyright 2026)

Commerzbank

Its "Bene" assistant on Google Cloud handles over two million chats and resolves 70% of inquiries.

Publicly reported by Google Cloud, 9 Oct 2025

GE Appliances

More than 800 AI agents deployed across manufacturing, logistics and supply chain on Google’s agent platform.

Publicly reported by Google Cloud, 22 Apr 2026

Thomson Reuters

An agentic platform engineering hub on AgentCore where an A2A registry requires human validation before a new agent enters production.

Publicly reported by AWS, 21 Jan 2026

Glossary, the short version

The full glossary holds about 70 terms, A to Z. These eight come up on every page.

AI agent
Software that takes a goal, plans steps, calls tools and acts within limits, with a model doing the reasoning.
MCP
Model Context Protocol, the open standard agents use to call tools and read data; current specification 2026-07-28.
A2A
Agent-to-agent protocol for agents that call each other; version 1.0.0 since 12 Mar 2026.
Agent identity
A non-human identity of its own for each agent, used to allow, limit, log and revoke what it does.
Agent registry
The master list of agents, one record each, with owner, identity, risk tier and approval state.
Shadow AI
AI that staff use or build without IT knowing or approving it.
Guardrails
Checks on inputs, tool calls and outputs, enforced outside the model.
Evaluation
Tests that score an agent against acceptance criteria, offline before release and online in production.

See the full glossary, A to Z

What changed

Dated changes that affect what the guide says. We add a line each time a page is reviewed.

  1. Guide published with the hub, the registry topic and its first sub-page. All statuses checked against vendor pages on this date.

  2. AWS Agent Registry generally available in five Regions; the preview bedrock-agentcore namespace retired on 30 Oct 2026.

  3. Amazon Bedrock Agents renamed Agents Classic and closed to new customers; AWS points new work to Bedrock AgentCore.

  4. MCP specification 2026-07-28 published: stateless core, Dynamic Client Registration deprecated, Enterprise-Managed Authorization extension stable.

  5. Google Agent Registry, Agent Gateway and Agent Observability generally available in Gemini Enterprise Agent Platform; Agent Identity API in preview.

  6. Microsoft Agent 365 generally available for commercial customers; Microsoft Entra Agent ID generally available; registry sync with AWS and Google in public preview.

  7. Google renamed Vertex AI to Gemini Enterprise Agent Platform and Agent Engine to Agent Runtime.

  8. Microsoft Agent Framework 1.0 generally available, succeeding Semantic Kernel and AutoGen.

  9. AgentCore Evaluations generally available with 13 built-in evaluators; AgentCore Policy had gone generally available on 3 Mar 2026.

  10. A2A protocol version 1.0.0 released with signed agent cards.

Frequently asked questions

What is an enterprise AI agent?

Software that takes a goal, plans the steps, calls tools and company systems, and acts inside limits the company sets, with a language model doing the reasoning. The enterprise part is the limits: an identity of its own, a registry record, guardrails on what it can do, and traces of what it did.

How is an agent different from a chatbot or from Microsoft 365 Copilot?

A chatbot replies to a question. An agent takes a goal and carries out the steps, including actions in other systems. Microsoft 365 Copilot is an assistant that works beside a person inside Microsoft 365; Agent Builder creates declarative agents from your own knowledge sources inside it, and taking actions in other systems needs Copilot Studio. The what-is-an-AI-agent topic covers agents against copilots, chatbots and RPA.

Which platform should we build on?

Usually the one where your data and identities already live. Microsoft 365 and Azure tenants start with Copilot Studio and Microsoft Foundry; AWS accounts start with Amazon Bedrock AgentCore; Google Cloud projects start with Gemini Enterprise Agent Platform. The platforms topic compares them on build, runtime, identity, registry, gateway, guardrails, observability and evaluation.

Do agents need their own identity?

Yes. Running an agent as a human user or a shared service account breaks audit, Conditional Access and lifecycle. All three clouds now give each agent its own identity: Microsoft Entra Agent ID, AgentCore Identity and Google Agent Identity.

What is agent sprawl, and how do we stop it?

Too many agents, often duplicated, ownerless or abandoned, across platforms with no central list. You stop it with a registry that has an owner, an identity, a risk tier and an approval state per agent, and with rules that reassign or block ownerless agents. The registry topic shows how.

Does the EU AI Act apply to AI agents?

Yes. Since 2 August 2026 the Article 50 transparency duty applies, and the Commission’s own examples include an AI agent. High-risk obligations for Annex III uses apply from 2 December 2027 after the Digital Omnibus (Regulation (EU) 2026/1744, in force 27 July 2026). The governance topic covers the dates and the deployer duties.

How do we know an agent works before we switch it on?

With acceptance criteria written before the build and an evaluation set run against them, then again whenever the model, a prompt, a tool or a connected system changes. The evaluation topic covers offline and online evaluation, red teaming and regression tests at model change.

How current is this guide?

Every page shows its review date and lists dated sources. Product names and statuses were checked on 2 November 2026. Microsoft Ignite and AWS re:Invent in late 2026 are the next scheduled review triggers, and the What changed log on this page records each update.

Sources

Each source was read on 2 November 2026. The date shown is the date on the page, or the page’s ms.date for Microsoft Learn; an undated page shows the date it was read.

  1. What is Microsoft Foundry Microsoft Learn, 13 August 2026
  2. Microsoft Foundry Agent Service overview Microsoft Learn, 26 October 2026
  3. Microsoft Agent 365 now generally available Microsoft Security Blog, 1 May 2026
  4. What’s new in Microsoft Entra Agent ID Microsoft Learn, 1 May 2026
  5. Microsoft Agent Framework 1.0 Microsoft Developer Blogs, 3 April 2026
  6. Set up tracing for agents in Microsoft Foundry Microsoft Learn, 31 July 2026
  7. Guardrails and controls in Microsoft Foundry Microsoft Learn, 20 October 2026
  8. What’s new in Copilot Studio Microsoft Learn, 22 October 2026
  9. Amazon Bedrock AgentCore is now generally available AWS What’s New, 13 October 2025
  10. Policy for Amazon Bedrock AgentCore generally available AWS What’s New, 3 March 2026
  11. AgentCore Evaluations generally available AWS What’s New, 31 March 2026
  12. AWS Agent Registry now generally available AWS What’s New, 31 August 2026
  13. Amazon Bedrock Agents Classic maintenance mode AWS documentation, 30 July 2026
  14. Automated Reasoning checks in Amazon Bedrock Guardrails generally available AWS What’s New, 6 August 2025
  15. Gemini Enterprise Agent Platform release notes Google Cloud, 28 October 2026
  16. Welcome to Google Cloud Next ’26 Google Cloud Blog, 22 April 2026
  17. Introducing Gemini Enterprise Google Cloud Blog, 9 October 2025
  18. Model Armor release notes Google Cloud, 10 July 2026
  19. Model Context Protocol specification versioning Model Context Protocol, 28 July 2026
  20. A2A protocol specification, version 1.0.0 A2A project, 12 March 2026
  21. Cox Automotive case study AWS, undated page, read 2 November 2026. The page shows a 2026 copyright and no date.
  22. How Thomson Reuters built an agentic platform engineering hub with Amazon Bedrock AgentCore AWS Machine Learning Blog, 21 January 2026
  23. EU Digital Omnibus on AI enters into force Hunton Andrews Kurth, 27 July 2026. Regulation (EU) 2026/1744; EUR-Lex text at https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:L_202601744.

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