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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.

Apply this thinking to your organisation.

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