One unbroken record. From risk to review.
Risks, controls, evidence, decisions, and reviews stay linked across the lifecycle of every AI system — versioned, owned, queryable, and audit-reconstructible at any point in time.
Risks → Controls
Risks are classified per system and linked to the controls that mitigate them, with ownership at every node.
Controls → Evidence
Each control is paired with versioned evidence proving it operates — not just that it was designed.
Decisions in context
Approvals, scope changes, and exceptions are recorded with rationale, authority, and the evidence considered.
Reviews on cycle
Recurring, time-stamped reviews close the loop and feed the next cycle of risks, controls, and decisions.
See accountability chain operating against your AI systems in under 10 minutes.
Every change is versioned. You can rebuild the full state of any system, control, or piece of evidence as it stood on any past date.
GRC tools document. The Accountability Chain operates. Records are linked by reference, not by spreadsheet, and updates flow through the chain automatically.
Yes. Read-only auditor access exposes the chain without giving edit rights, and every export is reproducible.
The full chain is preserved in its final state and remains queryable for the retention period your framework requires.
Start building record for your AI Systems.
One connected structure for systems, risks, evidence, reviews, decisions, and accountability activity across the organisation.
