Solutions · AI platform leadership
One place to understand and govern your enterprise AI.
For CIOs, CTOs and heads of AI platform: register every AI use case and agent, give each an accountable owner, and govern their model access, safety, quality and spend through one gateway.
What you're running
- Copilots and assistants built by several product teams
- Agents on different frameworks—LangGraph, OpenAI Agents SDK, Semantic Kernel, custom code
- A mix of internal tools and customer-facing features
- Central platform team asked to 'make it safe' without slowing teams down
AI initiatives are proliferating without consistent oversight.
Each team picks models, writes its own checks and holds its own keys. The platform team has no inventory, no consistent policy and no single view of quality or cost.
- No inventory of which agents exist and who owns them
- Inconsistent model approvals and safety controls
- Quality and spend visible only per provider bill
Relevant IntSen controls
What IntSen brings
Evidence
What you can see
- Registered use cases and agents, by team and owner
- Model usage by use case, agent and model
- Guardrail verdicts and compliance findings per agent
- Quality trends and spend against budget
How to begin a technical evaluation
- 1Pick one or two agents already in production or late testing
- 2Register them and route their model calls through IntSen
- 3Review traces, verdicts, quality and spend with their owners
- 4Decide the defaults you want for every team
Other roles
Ready to make your enterprise AI accountable?
See how IntSen can help your teams govern access, safety, quality and spending across the AI applications and agents you already run.