Adopt AI with controls you can defend to customers, regulators, and the board.
AI adoption has outrun AI governance in most organizations: models in production with no inventory, vendors embedding AI into tools nobody assessed, and enterprise procurement questionnaires asking governance questions you cannot yet answer. RiskSensai is built to close that gap methodically. Start with an AI use-case inventory so you know what is actually running, assess it against NIST AI RMF and prepare for EU AI Act obligations and ISO 42001 readiness, and generate the policies that make responsible use enforceable rather than aspirational. Governance that arrives before the procurement questionnaire, not after it.
Framework gap analysis assesses your AI practices against NIST AI RMF, EU AI Act obligations, and ISO 42001 readiness criteria.
The AI use-case inventory is designed to catalog every model and AI-enabled tool in use, including AI embedded in vendor products surfaced through the vendor risk radar.
AI policy generation produces draft acceptable-use, model risk, and oversight policies grounded in your actual inventory rather than generic templates.
What you receive
Every engagement produces working documents your team, your auditors, and your board can rely on. Nothing here is an audit opinion or assurance; it is the structured groundwork that makes those conversations shorter.
- AI use-case and model inventory
- NIST AI RMF gap assessment
- EU AI Act exposure and classification analysis
- ISO 42001 readiness roadmap
- Draft AI governance policy suite
- Procurement-questionnaire-ready governance summary
The platform behind the work
AI Governance engagements run on the same RiskSensai capabilities your team keeps after the engagement ends.
AI use-case inventory
Designed to catalog every model and AI-enabled tool in use, including AI embedded in vendor products.
Framework gap analysis
Assess your control environment against recognized frameworks and see exactly where coverage falls short.
AI policy generation
Draft acceptable-use, model risk, and oversight policies grounded in your actual inventory.
Vendor risk radar
Third-party and subprocessor exposure tracked in one view, including concentration and criticality.
Built for organizations where controls are scrutinized
Put ai governance on a defensible footing.
Start with an audit readiness review: a structured look at where your program stands today and what it would take to withstand scrutiny.
RiskSensai content is informational only. It is not an audit opinion, assurance, or legal or accounting advice.
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