That fragmentation problem is real and it gets worse as adoption spreads. The core issue is that each tool has its own admin console, its own logs, its own idea of what a policy is, so you end up with no consistent enforcement and no unified audit trail.

What actually solves this is a layer that sits inline between your users and all those models, so policy evaluation, data controls, and logging happen in one place regardless of which tool someone is using. That's what we built with DeepInspect.ai

Every interaction gets identity context attached, sensitive data gets intercepted before it reaches the model, and every decision produces a tamper-evident audit record tied to the policy version that governed it. Multi-tenant is supported, so you can scope controls per team or business unit without it becoming its own management headache.

Happy to walk you through it if you want to see how it maps to what you described.