The problem
When we measured current usage, 18% of AI tool interactions touched sensitive data: client information moving through tools nobody had approved. At the same time, the business wanted AI agents in production: internal agents for employee workflows and external-facing agents serving customers. Banning tools would have driven usage underground; shipping agents without governance would have scaled the exposure.
What we built
Policy plus architecture, together. Data tiers and approved tools gave people a governed path that was easier than the workaround. On that foundation we deployed production AI agents for both internal use and external customer-facing scenarios, built with the same data rules, monitoring, and review gates, so scale didn't multiply risk.
The result
Sensitive-data exposure in AI tools went from 18% of interactions to 0%, not by blocking AI, but by making the governed path the fastest one. The agents shipped, and the governance is what let them ship to customers, not just to a sandbox.