AI Ethics & Trust Audit
An Independent Read on the AI Systems the Public Sees.
Fairness. Explainability. Reputation. The written report the board, the regulator, and the brand can all stand behind.
What the Audit produces
- Fairness Test. A bias and disparate-impact assessment on the named AI systems. The results, the methodology, the limits.
- Explainability Read. The model decisions a customer or regulator might ask about, and the answer the team will give. The documentation that backs the answer up.
- Reputation Risk Brief. The exposures that show up on the front page. The mitigation in place. The mitigation that should be in place.
- Human-In-The-Loop Review. The decisions a human signs off on. The decisions a human should sign off on. The gap, and the recommendation.
- Public Trust Statement. An optional plain-language statement the marketing team can publish. Reviewed by the practitioner. Defensible by the board.
Who it is for
- Public-trust businesses. Healthcare, education, public sector, financial services, consumer brands. The AI is in front of customers.
- Companies under media scrutiny. The press cycle has run. The board wants the answer in writing.
- Procurement-driven sales motions. The buyer asks for an AI ethics statement. The Audit produces one that holds up.
Investment and timeline
Investment
C$12,000 to C$25,000
Fixed fee. Scope on the discovery call. The price reflects the number of AI systems, the data depth, and whether the team needs the public-facing trust statement.
Timeline
4 to 6 weeks
Two-week assessment. Two-week analysis and write-up. Optional two-week public-statement cycle.
Ready to start?
A 30-minute call confirms fit, timing, and the right starting point.