AI AgentDocumentation Agent
Documentation Agent that automates it & engineering workflows using your data and tools.
The challenge
Documentation is written once and then quietly goes out of date. Engineers answer the same questions in chat because the page is wrong, new joiners cannot tell which page to trust, and nobody wants to own a backlog of content that ages faster than it can be reviewed.
The outcome
A merge triggers extraction through Azure Functions, Azure AI Search indexes the code and decision records, and a Microsoft Foundry agent drafts the page with every claim checked against the source. An author approves a diff before it publishes, and Microsoft Entra keeps internal detail off public surfaces.
At a glance
- Type
- ai agents
- Category
- technical
01 — Architecture
End-to-end architecture
A merge signals that something changed. Signatures, examples and decisions are extracted, the Foundry agent drafts the page to the house template, and every claim is checked back against the source of truth. Permission trimming keeps internal detail off public surfaces, and an author approves before anything publishes.
- Reader: Reader / Author
- Sources: GitHub, SharePoint / Teams
- Pipeline: Azure Functions, Azure Logic Apps
- AI & agent: Microsoft Foundry Agent, Azure OpenAI models, Azure AI Search, Azure AI Content Safety
- Content & data: Azure Blob Storage, Azure Cosmos DB, Permission trimming
- Publish & insight: Author review, Docs site / wiki, Power BI / Fabric
02 — Workflow
Process & decision workflow
How a code or process change becomes a trustworthy page — detect, extract, draft and verify, then branch. A verified factual update publishes with its source linked, while a new concept or anything requiring judgement goes to an author as a diff with the open questions listed.
- Detect: Code, API or process change spotted at merge
- Extract: Signatures, examples and decisions pulled out
- Draft: Page written to the template and house style
- Verify: Every claim checked against the source of truth
- Review: Author sees a diff against the current page
- Publish: Page released with owner, date and version
- Path 1 · verified factual update — Publish the update: Page released with the source linked
- Path 2 · new concept or judgement — Author reviews the draft: Diff, sources and open questions shown
03 — Components
Key Microsoft components
Documentation is only useful if it is current and true — extraction, drafting, verification and publishing all stay on the Microsoft stack.
GitHubCode, specifications, decision records and docs as code.
SharePoint / Microsoft TeamsExisting documentation, wikis and review discussion.
Azure FunctionsExtraction, chunking, embedding and index refresh.
Azure Logic AppsMerge triggers, scheduled crawls and review routing.
Microsoft Foundry Agent ServiceDrafting, verification and publishing orchestration.
Azure OpenAI modelsWriting, summarisation and example generation.
Azure AI SearchHybrid index over code, decisions and published docs.
Azure AI Content SafetyGuardrails against unverifiable or unsafe statements.
Microsoft Entra permissionsKeeps internal detail off public documentation surfaces.
Azure Blob StorageDiagrams, screenshots and generated assets.
Azure Cosmos DBPage state, review history and reader feedback.
Azure API ManagementSecure gateway for source and publishing APIs.
Azure Container AppsExtraction and drafting workers that scale with merges.
Power BI / Microsoft FabricFreshness, coverage and knowledge-gap dashboards.
04 — AI
What the agent consumes
The capabilities the agent applies to every page, and the line it does not cross.
AI capabilities embedded in the agent
- Change detection
- Code and API extraction
- Template adherence
- Retrieval-augmented generation
- Draft generation
- Claim verification
- Style and terminology checks
- Diff summarisation
- Permission-aware publishing
- Freshness scoring
- Gap detection
- Workflow orchestration
AI responsibility boundaries
The agent drafts from the source of truth and links every claim to it; a named author approves anything published. It does not invent behaviour the code does not show, publish internal detail to a public surface, or mark a page reviewed on behalf of a person. Unverifiable statements are raised as questions rather than written as fact.
05 — Personalization
Personalization & evolving process
The same methodology applies to every agent in the catalog. Tune the surfaces, the documentation template, the style rules and the value model — the page structure stays identical.
Audience & surface profile
Define the audiences, publishing surfaces, languages and sensitivity boundaries between internal and public content. The personas are the reader, the engineer author, the docs owner and the reviewer.
Documentation template
One consistent flow for every documentation agent: detect the change, extract, draft, verify each claim, review as a diff, publish with an owner and track freshness.
Style & accuracy rules
Declare the house style, terminology, page templates, source-of-truth precedence and the verification threshold. A claim that cannot be traced to a source is never published as fact.
Value model
Capture baseline metrics first, then map the expected benefits: authoring hours, page freshness, stale-page count, support questions and onboarding time.
06 — Impact
Key outcomes & business impact
Starting targets for the value case — validate each one against the customer baseline during discovery.
- Docs freshnessPer mergePages update when the code does, not at release time.
- Authoring effort−60%Engineers review a verified draft instead of a blank page.
- Support questions−30%Fewer repeat questions answered from a stale page.
- Claim traceability100%Every statement links to the source that supports it.
Illustrative improvement index
Manual baseline = 100. Illustrative targets, not a commitment — confirm against the customer baseline.
- Time to document: manual baseline 100, AI-assisted target 25
- Authoring hours: manual baseline 100, AI-assisted target 40
- Stale pages: manual baseline 100, AI-assisted target 30
Related & recommended
Derived automatically from our solution knowledge graph.
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Technologies
What powers this solution.
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TechnologyMicrosoft Copilot Studio
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