EXPERTISE / 06
Know what your AI can—and cannot—be trusted to do.
Independent technical assessment of AI and machine-learning implementations, from data preparation to human oversight.
AI & ML implementation reviews
- Intended-use and risk review with agreed evaluation criteria
- Data lineage, leakage, bias and performance assessment
- LLM evaluation, failure-case testing and human review controls
- Prioritised findings, evidence gaps and a remediation roadmap
THE APPROACH
01
Understand
Agree the question, context, constraints and the people who need the result.
02
Deliver & review
Work in agreed milestones with visible assumptions and proportionate quality checks.
03
Hand over
Leave you with usable outputs, documentation and a clear account of remaining limitations.