Level 2 · AI use-case advisory pathway
1
Understand the use case and decision
How I support you
Work with stakeholders to clarify the intended clinical purpose, setting, users, workflow, affected populations, boundaries, ownership and the decision that needs to be informed.
You receive: a shared use-case summary, stakeholder and responsibility map, and key governance questions.
2
Identify risks and plan the review
How I support you
Explore potential clinical, technical, human, organisational, equity and legal risks, then connect them to evidence questions and proportionate review activities.
You receive: a risk-and-evidence map and a practical review plan.
3
Review the evidence in context
How I support you
Bring together available technical, clinical, operational and human-factors evidence, identify important gaps, and consider the model, workflow, users and organisation together.
You receive: an integrated view of strengths, limitations, evidence gaps and practical implications.
4
Develop practical recommendations
How I support you
Interpret the findings with leadership, outline proportionate safeguards and priorities, clarify ownership, and identify where further technical, clinical or legal expertise is needed.
You receive: an advisory report with recommended actions, responsibilities and considerations for decision-makers.
5
Support ongoing governance
How I support you
Help define monitoring questions, responsibilities, user feedback, incident escalation, material changes and the circumstances that should prompt another review.
You receive: a practical monitoring, change-management and follow-up review roadmap.
How I use established resources
I use these resources as structured reference points to inform advice. Their relevance depends on the organisation, use case, technology and stage of adoption.
Governance and risk guidance
NIST AI RMFISO/IEC 42001
Healthcare lifecycle practices
FUTURE-AIWHO guidance
Model, safety and robustness evaluation
Transparent study reporting, where applicable
DECIDE-AITRIPOD+AI
The outcome: clearer governance questions, evidence gaps, responsibilities and practical next steps—tailored to the organisation's maturity and AI use case.