AI services are entering organizations through every door at once. Treating them as enterprise platforms — with identity, data boundaries, logging, and governance — is the difference between adoption and exposure.
Microsoft's AI portfolio is not five versions of the same product — it is a layered enterprise architecture with an experience layer, two build platforms, a control plane, and the identity, data and threat controls underneath. A practical architecture guide to what each platform is for, which workloads belong where, how agent identity and authority actually flow, and what has to be true before an organization scales any of it.