Close the gap between the AI you trust and the AI you can prove.
WisdomBridge is an independent assurance firm for AI agents, AI solutions and AI programmes. We audit the controls, test the behaviour, and give leadership evidence it can act on — and defend.
Three scopes. One standard of evidence.
AI agents
Systems that plan and act: calling tools, updating records, sending messages, moving money.
Agent Assurance Audit →AI solutions
Assistants, copilots, chatbots, RAG and AI features inside products and workflows.
AI Solution Evaluation →AI programmes
Portfolios of AI systems — and the policies, inventory and governance that hold them together.
AI Programme Assurance →You are being asked to approve AI agents and AI solutions you cannot yet verify
The business case is compelling and the demo is impressive. But the evidence behind the system's safety, accuracy and value is usually produced by the team that built it — and the people who will ask for proof are regulators, auditors, customers and your board.
No set size. No pass rule. No failure analysis. Measured by the builder, on data they chose.
102 ÷ 120 correct on a private held-out set; all 18 failures categorised, dated and reproducible.
Agents don't just answer. They act. We audit every step.
An agent understands a request, observes its context, locates data and tools, acts, and verifies the result. Each stage fails differently — so each stage is audited and tested on its own.
Understand
Interprets the request, the goal and the constraints.
Observe
Gathers context: conversation, permissions, system state.
Locate
Finds the right data, document or tool for the next step.
Act
Calls the tool, writes the record, sends the message.
Verify
Checks the result; recovers or hands over when it fails.
Audit, evaluate, remediate, sustain
Agent Assurance Audit
Audit the controls around an AI agent and test its behaviour across the full loop — understand, observe, locate, act, verify.
AI solutionsAI Solution Evaluation
Independent testing of assistants, copilots, chatbots and RAG systems — accuracy, safety and value, each shown with its working.
AI programmesAI Programme Assurance
Organisation-wide assurance: the inventory, the evaluation policies, and every AI agent and solution in the portfolio.
All scopesRemediation Support
Help implementing the fixes — delivered by a team kept separate from the evaluators.
All scopesContinuous Assurance
Scheduled and change-triggered re-evaluation, so the evidence keeps pace with models, prompts and tools that keep changing.
AI vendorsVendor Evaluation Report
An independent report AI vendors can put in front of enterprise buyers — the same method and rigour as a buyer's evaluation.
From one agent to every AI system you run
Single system
One AI agent or one AI solution, audited and evaluated end to end.
Portfolio
A defined group of related systems — a business unit, a product line, a vendor shortlist.
Enterprise programme
Every AI system in the organisation, the policies that govern them, and remediation — delivered as a multi-month programme.
Engagement length depends on the volume of the programme. It is evaluated during scoping and fixed in writing. How engagements work →
Evidence is only as good as the independence behind it
Every engagement is led by a WisdomBridge-qualified practitioner, and every report is peer-reviewed before it is issued.
How much of your AI's trust can you prove?
A structured assessment across up to ten assurance areas — for founders and builders shipping fast, and for the risk and AI leaders who have to answer for it. No code required.
- TrustGap positionConfidence versus evidence
- Evidence coverageWhat you could prove today
- Indicative risk tierAnd the evaluation depth it calls for
- Findings registerMapped to NIST AI RMF, ISO/IEC 42001, EU AI Act, OWASP
- 30 / 60 / 90-day roadmapOrdered by severity
Thinking on AI assurance
Confidence is not evidence: introducing the AI TrustGap
Most teams trust their AI more than they can prove. The distance between the two is measurable — and it is where the risk lives.
ArticlesAgent assurance: audit the loop, not just the answer
An AI agent does not just answer — it understands, observes, locates, acts and verifies. Assurance has to follow every step of that loop.
Assurance MapsThe 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.
Trust your AI agents, AI solutions and AI programmes once you've seen the evidence.
Tell us what is in scope — a single AI agent, an AI solution, or an entire AI programme. We come back with a written scope and a fixed price.