Challenge
Move from qualitative error observations to a structured evaluation, evidence and governance process.
My role
Method, collection system and reporting-framework design; IP-sensitive mechanics intentionally withheld.
Key decisions
- Separate measurement, qualification and decision.
- Maintain an evidence chain and observation traceability.
- Publish objectives, capabilities and outcomes without disclosing differentiating mechanisms.
Public deliverables
- AI evaluation prototype: error qualification, measurement and traceability
- Test and validation documentation
- Results register
- R&D / intellectual-property dossier
Public confidentiality rule.
This public page intentionally omits client-sensitive data, exploitable architecture details, internal configurations and proprietary or patent-oriented mechanisms.
This public page intentionally omits client-sensitive data, exploitable architecture details, internal configurations and proprietary or patent-oriented mechanisms.