AI AGENT INTELLIGENCE · AI ASSURANCE
AI assurance is not a promise. It is evidence someone else is willing to sign.
The AI assurance market exists because self-assessment stopped being credible. When an AI agent speaks to your customers, the question is no longer whether you trust it — it is whether anyone independent has checked.
WHAT THIS ACTUALLY MEANS
AI assurance is the practice of producing independent, documented evidence that an AI system behaves as its operator claims.
The agent, not the model cardIn conversational AI that means testing the deployed agent, not the model card.
What is actually testedWhether it discloses it is an AI, stays inside its scope, resists manipulation, avoids fabricating facts and hands over to a human when it should.
Scored and signedLexic Compass delivers that as an independent audit of AI agents already in production, scored 0 to 100 across four pillars — Integrity & Safety, Regulatory Trust, Operational Reliability and Experience Trust — with a verdict.
Trust Score 0-100ClearedCleared with ConditionsNot Cleared
It is an independent audit, not a certification: Lexic is not a notified body under the EU AI Act.
How the Trust Score is weighted
- Integrity & Safety30%weight in the 0-100 score
- Regulatory Trust30%weight in the 0-100 score
- Operational Reliability20%weight in the 0-100 score
- Experience Trust20%weight in the 0-100 score
The four pillars of the Trust Score
| Pillar | What is assured |
|---|---|
| Integrity & Safety | Resistance to prompt injection, jailbreaks and social engineering; no leakage of personal or payment data; no fabricated commitments |
| Regulatory Trust | AI disclosure under Article 50 of the EU AI Act, data-protection behaviour, and the sector rules that apply to your industry |
| Operational Reliability | Consistency across channels and load, correct escalation to a human, traceable behaviour when the agent fails |
| Experience Trust | Whether the customer actually got resolved, in what tone, and where the conversation silently destroys trust |
“Assurance is the difference between saying your agent is safe and being able to hand someone the report that says so.”
Executives of these companies are already decoding conversations
Frequently asked questions
AI assurance is independent verification that an AI system does what its operator says it does, documented well enough to be shown to a Board, a client or a regulator. It covers technical quality, adversarial robustness and regulatory behaviour. The defining feature is independence: assurance produced by the team that built the system is self-assessment, not assurance.