The full enterprise AI portfolio — Copilot experiences, Microsoft Foundry for builders, and Azure underneath.
The Microsoft AI ladder
Use Copilot in Microsoft 365.
Extend with Copilot Studio, build with Microsoft Foundry.
| Layer | Product | Who |
|---|---|---|
| Use | Microsoft 365 Copilot | Every knowledge worker |
| Extend | Copilot Studio | Makers and business technologists |
| Build | Microsoft Foundry on Azure | Developers and AI engineers |
| Govern | Security and governance estate | Security, compliance and IT |
Address oversharing in SharePoint and OneDrive.
Apply Purview sensitivity labels.
Start with defined roles and scenarios.
Track adoption and task outcomes.
Extend agents with Copilot Studio.
Microsoft provides the controls; enterprises must operate them: Copilot data governance through Purview, agent lifecycle policy in Copilot Studio, evaluation and content safety in Foundry, and cost management across consumption-based AI services. Adoption governance — who uses AI for what — is as important as technical control.
Copilot licenses are deployed but usage and value are unclear. Run a structured adoption program: role-based use cases, enablement, measurement and iteration on what people actually do.
Licenses convert into changed work, not shelfware.
Departments want agents for their processes without creating ungoverned shadow AI. Establish Copilot Studio standards — environments, DLP policy, publishing workflow — and build flagship agents that prove the model.
Business-built agents inside an IT-governed perimeter.
The organization needs bespoke AI applications with enterprise control. Build on Foundry with model selection, grounding on governed data, evaluation pipelines and observability.
Production AI applications with engineering discipline inherited from the Microsoft estate.
Security and compliance teams need AI adoption without data leaving controlled boundaries. Architect AI workloads with Entra, Purview and Defender controls applied end to end.
AI adoption that security can defend, with audit-ready evidence.
Evaluation of Microsoft's AI portfolio typically spans Copilot readiness and adoption, the governance model needed for Copilot Studio agent portfolios, and the engineering discipline required for Foundry-based custom AI applications. Because naming and packaging change frequently across the Copilot and Foundry families, current documentation should anchor any procurement decision. The Purview/Entra/Defender control architecture is central to making AI adoption defensible to security and regulatory stakeholders.
Questions buyers ask
Microsoft's AI platform for builders has evolved through Azure AI Studio and Azure AI Foundry to Microsoft Foundry. Capabilities — model catalog, agents, evaluation, governance — continue under the new name; current Microsoft documentation should be checked for exact packaging.
Copilot for horizontal productivity, Copilot Studio for governed business agents, Foundry for engineered applications. Most enterprises need all three eventually; sequencing depends on where value concentrates.
Copilot respects existing permissions — which exposes years of permission debt. Readiness work on SharePoint/OneDrive access hygiene, via Purview and access reviews, is the unglamorous prerequisite.
Yes — Foundry's catalog includes Microsoft, OpenAI and third-party models. Model choice per workload, with evaluation, is the recommended pattern.
Independent editorial profile. Vendor facts reviewed against official sources, September 24, 2026.
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