Solutions · Engineering
Keep your framework. Change the route. Gain control.
For AI platform engineers and agent developers: govern an existing agent by changing its model client's base URL and adding a few headers. No tracing SDK, no agent-side hooks, no rewrite.
What you're building
- Agents on LangGraph, OpenAI Agents SDK, Semantic Kernel, Strands, CrewAI or plain SDK code
- Tool-calling loops with retries and sub-agents
- CI pipelines that ship prompt and model changes
- Requirements from security and finance you didn't design for
Governance tools can impose real integration and maintenance effort.
SDKs, tracing libraries and callback hooks add code to every agent and break on framework upgrades. Teams end up maintaining governance instead of shipping.
- SDK lock-in per framework
- Tracing code to keep in sync
- Manual reviews for every model change
Relevant IntSen controls
What IntSen brings
Evidence
What you get back
- Each turn with its calls, tools, verdicts, score and cost
- Clear refusal codes when a call is denied
- Quality regressions caught before release
- Per-turn limits that stop runaway loops
How to begin a technical evaluation
- 1Read the quickstart and the onboarding guide
- 2Write the two YAML files and run a dry run
- 3Change the base URL and add headers in a test environment
- 4Inspect your first governed turn
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.