The questions are already arriving. The evidence isn't ready.
“The supervisor asked for our AI inventory. We don't have one.”
Discovery builds a defensible register of models, agents and embedded AI — including the shadow AI your teams adopted without asking.
“DORA made our AI vendors our problem.”
Third-party AI and ICT dependencies tracked as first-class governed objects, with vendor assurance evidence attached.
“Model risk management didn't anticipate GenAI.”
Extend model-risk discipline — tiering, ownership, validation status, decision records — across generative and agentic AI.
“The board signed accountability for AI. Nobody can show them the state of it.”
One board-ready view: estate, risk tiers, obligations, cost, and what changed since the last meeting.
Every capability answers a question your regulator asks.
Designed to support your mapping to the frameworks below — your compliance function stays the owner; we supply the estate, the controls view, and the evidence.
Find and register every AI system — including shadow AI — before someone else's audit does.
Risk tiering, control coverage and readiness scoring per AI system, with an evidence library behind every claim.
Assess the AI you buy, not just the AI you build — vendor registers and assurance evidence in one place.
Who owns each duty, its status, and the proof — so accountability regimes have named owners, not vibes.
Attribution of AI spend to systems and outcomes — the economic half of the governance story boards ask for.
Give the second and third line a read-only, tamper-evident record to test against — not screenshots.