Frameworks / Data & AI
Data & AI assessment frameworks
Show clients where they stand on responsible AI and data governance — including the UK's emerging AI rules and GDPR accountability — graded on each standard's own scale.
UK regulatory coverage: 2 of these 4 frameworks are UK-specific — built for firms advising regulated UK clients.
4 frameworks
Data & AI frameworks you can run
Each runs an evidence-based maturity or readiness assessment, scored on the standard's own scale.
AI Governance & Responsible AI Maturity
Measure responsible-AI maturity across governance, risk, transparency and oversight.
ModelData Management Maturity
Score data management across governance, quality, architecture and operations.
ModelUK AI Regulation (DSIT Principles & Assurance)
Check alignment to the UK's five AI-regulation principles and assurance expectations.
UKUK GDPR & Data Protection / ICO Accountability
Assess UK GDPR accountability against the ICO's accountability framework.
UKHow it works
From the client's documents to a board-ready deck.
1 · Evidence in
Upload the client's documents — policies, reports, data. An AI interviewer asks targeted follow-ups to fill anything missing.
2 · Scored on the standard
Every dimension is scored on the framework's own scale, with each score traceable to the evidence behind it — gaps ranked by severity.
3 · Board-ready out
A board-ready slide deck and HTML report are generated automatically — executive summary, maturity landscape and a sequenced plan.
Evidence-grounded, not opinion
Defensible Data & AI scores.
Every score links back to the evidence it rests on, so the diagnosis holds up in the steering committee. See how evidence is collected and assessments are scored.
- Scored against the standard's own bands — not a generic rubric
- Gaps ranked by severity, ready to become the plan
- Auto-generated slide deck and HTML report for the board
More practices
Explore other assessment practices
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Run an assessment on real data.
We'll set up a framework live and score it from your client's own documents.