Your last assessment is already stale — models drift, new AI appears, and the evidence you'd hand an auditor is months out of date.
You're buying third-party AI — Copilot, agents, embedded vendor models — with no way to vet or monitor the risk you're taking on.
An accredited assessor or ISO 42001 audit is coming, and you'll assemble the evidence by hand — again — the week before.
Proof that stays true on its own — so audit day is a hand-off, not a fire drill.
Every AI system carries a live assurance score — with its confidence and how complete the evidence behind it is.
Continuous monitoring of drift, performance, cost, vendor, and obligations — alerts before they bite, not after.
Always assessment-ready — hand BSI or your auditor current evidence, mapped to the framework, on demand.
Passive data keeps the estate current; deterministic engines score it; the board sees one number. Algorithms decide — LLMs only explain.
Sets the baseline across the four signals.
OpenTelemetry + connectors keep it current — no forms.
Governance, FinOps, AuditAI score each system — deterministically.
One board-ready number, with evidence underneath.
COMPOUNDS: BASELINE → INGEST → SCORE → BOARD VIEW
Each is a paid activation over the same governed estate — no new data project, no silo. Statuses shown honestly.
Score any AI vendor against your policy from contract + DPA metadata — buy / hold / reject, with evidence.
Every obligation with an owner, a due date, and evidence — overdue items surfaced early.
Continuous accuracy, drift, and reliability from your own OpenTelemetry — kept current for the assessor.
A live, audit-ready evidence pack mapped to ISO 42001, BS 30440, and the EU AI Act.
Pluggable regulatory content — EU AI Act, ISO 42001, NIST — updated as the rules move.
One trust score across every signal — red / amber / green, with the top risks and actions.
The obvious value is passing audits. The value most teams miss is everything else assurance evidence unlocks.
Your assurance score becomes your customer's reason to buy — proof you can hand a prospect's procurement team, shortening their sales cycle.
Continuous evidence supports cyber / AI liability cover and gives directors a defensible record against personal (D&O) exposure.
Evidence that's already current turns a weeks-long scramble into a hand-off — fewer consulting hours, fewer assessor days.
Vendor Assurance gives procurement evidence at the table — better terms, and a documented reason to reject weak suppliers.
A current AI estate register + assurance history is an asset in a transaction — whether you're being acquired or acquiring.
Continuous guardrails let the business approve and scale AI with confidence instead of blocking it — assurance as an accelerant, not a brake.
Observability tools watch models but can't govern them. Accredited bodies certify at a point in time but can't stay resident. TrustedAIGov sits between — the continuous assurance layer that consumes your telemetry and feeds your auditor. Every score is deterministic and carries its confidence; the LLM only ever explains, it never decides.
See the full Why TrustedAIGov page →