Industries · Enterprise SaaS & AI platforms
Scale AI features without fragmenting governance.
SaaS companies ship copilots, support agents and AI features across many product teams. IntSen gives them one governed path to the model, with ownership, controls, quality and cost per feature.
AI you're likely deploying
- Customer-facing copilots inside your product
- Customer support agents
- Internal productivity assistants
- Several AI teams, each with its own stack
Why governance gets hard
Every product team moves fast with its own models, prompts and checks. Enterprise customers then ask how their data is handled—and the answer differs by feature.
- Inconsistent controls between features
- Customer security questionnaires that are hard to answer
- AI cost per customer or feature unknown
Relevant IntSen controls
What IntSen brings
Evidence
What you can investigate and measure
- Model usage and cost per feature and agent
- Guardrail verdicts across customer-facing AI
- Quality trends after each release
- Turns that hit limits or errors
How to begin a technical evaluation
- 1Pick one customer-facing AI feature
- 2Register it and route its model calls through IntSen
- 3Run in record mode and review verdicts, quality and cost
- 4Extend to the next team with the same defaults
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.