B2B SaaS, fintech, HR tech, healthcare-adjacent vendors, and service firms
An AI governance scanner reviews public pages and internal controls to identify AI claims, missing policy evidence, high-risk use cases, vendor inventory gaps, and customer-review blockers.
A customer, investor, insurer, or board asks how the company controls AI use and the team does not have a clean answer packet.
Public AI claims risk, privacy and data risk, shadow AI risk, ownership gaps, vendor readiness, and NIST / EU AI Act readiness signals.
The product is not a heavy GRC rollout. It is a first-mile evidence scan designed to create a usable packet quickly.
Any company using, selling, or publicly claiming AI should scan for ownership, policy, data, vendor, and high-risk use-case gaps before customers ask.
The MVP generates an immediate outside-in report. A paid evidence binder can be built after the company confirms internal tools, owners, vendors, and data categories.
Send a domain and the buyer pressure you are feeling. The first response should be a sharp risk read, not a newsletter drip.