Industries · Customer operations & BPO
Bring safety, quality and cost visibility to customer-facing AI.
Contact centers and BPO providers run high-volume, cost-sensitive AI: service-desk assistants, support copilots and knowledge retrieval. IntSen governs their model calls with per-turn quality and cost.
AI you're likely deploying
- Contact-center agent assist and support copilots
- Service-desk assistants
- Knowledge retrieval over policies and procedures
- AI serving several client programs at once
Why governance gets hard
Volume is high, margins are thin and conversations carry customer data. Quality must be monitored continuously, and cost must be attributed to the client program it serves.
- Customer personal data in prompts and replies
- Quality monitored by sampling calls by hand
- Cost per conversation and per program unclear
Relevant IntSen controls
What IntSen brings
Evidence
What you can investigate and measure
- Quality scores per assistant and program
- Personal-data detections and masking
- Compliance findings awaiting review
- Cost per conversation and per program
How to begin a technical evaluation
- 1Choose one assistant with steady volume
- 2Register it and switch on personal-data masking in record mode first
- 3Enable live evaluations on a sample
- 4Review quality, findings and cost per conversation
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.