Industries · Financial services & insurance
Establish greater oversight of governed AI workflows.
Banks, fintechs and insurers use AI for internal knowledge, customer service and document support. IntSen adds authenticated access, recorded controls and per-turn evidence to the model calls those assistants make.
AI you're likely deploying
- Internal knowledge assistants over policies and procedures
- Customer service assistants
- Policy research assistants
- Document-support workflows
Why governance gets hard
Risk, compliance and model-risk teams need evidence of what a model was allowed to do, what it saw and how it behaved—across many teams and vendors.
- Data classification must limit which models are used
- Controls need records, not assurances
- Review of AI activity is manual and partial
Relevant IntSen controls
What IntSen brings
Evidence
What you can investigate and measure
- Which models served which data classes
- Verdicts and findings per assistant
- Turn-level evidence for review
- Change history of use cases and agents
How to begin a technical evaluation
- 1Start with an internal knowledge assistant
- 2Set data class and capture policy with your risk team
- 3Run guardrails and compliance in record mode
- 4Review findings and evidence together
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.