WisdomBridgeIndependent AI Assurance
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The WisdomBridge assurance flow map

From the first AI TrustGap to continuous assurance: how an engagement moves, what each stage produces, and where independence is protected.

  1. 01AI TrustGapSelf-attestedPosition · coverage · risk tier
  2. 02ScopingAgreed in writingScope · access · exit criteria · price
  3. 03Assurance auditControls & documentationControl findings, owners
  4. 04Independent evaluationBehaviour under testScorecard · issue log · release gate
  5. 05Remediation supportSeparate teamFixes implemented
  6. 06Re-evaluationSame suitesDelta: fixed · new · regressed
  7. 07Continuous assuranceKeeps pace with changeDated scorecards over time
Delivered by a team kept separate from the evaluators — the people who help fix a system never re-evaluate it. Stages 06–07 loop back as the system changes.

Assurance is not a single test. It is a sequence, and each stage produces something the next one depends on. The map above shows the full flow. Most organisations enter at the first stage; some join at an audit or an evaluation. Every path ends in the same place — assurance that keeps pace with a system that keeps changing.

1. AI TrustGap — self-attested

A structured assessment that measures the gap between confidence and evidence across up to ten assurance areas. Produces: TrustGap position, evidence coverage, indicative risk tier, findings register.

2. Scoping — agreed in writing

What is in scope — one agent, one AI solution, or a programme of many systems — the claims under test, the access we need, and the exit criteria. Engagement length is set here, from the number and complexity of the systems in scope. Produces: a written scope and a fixed price.

3. Assurance audit — controls and documentation

Policies, ownership, documentation, data handling, supplier management, release and incident procedures — examined against the evidence, not the intent. Produces: control findings with severity and owners.

4. Independent evaluation — behaviour under test

Held-out task suites, an adversarial red-team, robustness testing and, for agents, testing across the full loop: understand, observe, locate, act, verify. Produces: scorecard, issue log, release-gate verdict.

5. Remediation support — a separate team

Help implementing the fixes, delivered by a team that is kept separate from the evaluators. The people who help fix a system never re-evaluate that same system. That safeguard is what keeps the next stage honest.

6. Re-evaluation — the same suites, the delta reported

The original test suites run again. What was fixed, what is new, what regressed. Produces: an updated scorecard and verdict.

7. Continuous assurance — keeping pace with change

Models update, prompts change, tools are added. Scheduled and change-triggered re-evaluation keeps the evidence current. Produces: dated scorecards over time.

Start with the AI TrustGap →

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