AI governance
AI governance readiness for EU and US-facing SaaS companies
Build an AI governance record before customers, procurement teams or regulators ask for one.
Data>NuanceMay 20, 2026
Inventory the use cases
Begin with where AI appears in your product and internal operations: models, vendors, inputs, outputs, personal data and affected decisions. An inventory gives governance work a practical starting point.
Classify the risk
Review privacy impact, explainability, human oversight, bias, vendor terms, security and the regulatory environments in which the system is offered. European and US buyers may ask different questions, but both expect evidence.
Define launch controls
Set approval owners, testing requirements, monitoring, incident handling and customer documentation. Responsible AI becomes credible when there is a reusable decision record behind each deployed use case.