TD Knowledge & Practice EcosystemTD Consultancy ↗
AI for Drug & AlcoholPractice
Menu

24 questions · results stay in your browser

AI Readiness Assessment

Review your organisation across governance, information, workforce, tools, quality, accountability, lived experience and implementation.

A reflective starting point, not an audit

Answer for the organisation as it works now. The score is generated on this page, is not submitted and does not replace independent assurance or local governance review.

  1. 01GovernanceWe have an approved organisational policy for AI use.
  2. 02GovernanceA senior owner is accountable for AI adoption and oversight.
  3. 03GovernanceApproved, prohibited and higher-risk uses are documented.
  4. 04Information governanceStaff know what information must not be entered into general-purpose AI.
  5. 05Information governanceNew AI systems follow an information-governance and data-protection review route.
  6. 06Information governanceData flows, retention, training use and suppliers are understood.
  7. 07WorkforceStaff have received role-relevant AI literacy and safety training.
  8. 08WorkforceManagers understand hallucinations, bias, privacy and automation bias.
  9. 09WorkforceStaff have a clear route for advice and concerns.
  10. 10ToolsApproved tools and account types are clearly identified.
  11. 11ToolsStaff understand that a consumer account may differ from a managed organisational service.
  12. 12ToolsTool changes and new features are reviewed before use expands.
  13. 13Quality assuranceAI outputs are checked in proportion to the consequence of error.
  14. 14Quality assuranceReferences, quotations and factual claims are verified in original sources.
  15. 15Quality assuranceErrors, near misses and concerns are recorded and reviewed.
  16. 16AccountabilityA named person remains responsible for every AI-assisted work product.
  17. 17AccountabilitySafeguarding, clinical and consequential decisions remain human-led.
  18. 18AccountabilityThere is a clear process to pause or stop a use that is not working safely.
  19. 19Service-user involvementPeople with lived experience have meaningful opportunities to shape relevant uses.
  20. 20Service-user involvementTransparency, trust, dignity, accessibility and digital exclusion are considered.
  21. 21Service-user involvementPotential unequal effects across groups are examined and monitored.
  22. 22ImplementationUse cases have a defined problem, baseline, intended benefit and non-AI alternative.
  23. 23ImplementationPilots have boundaries, measures, review dates and stop criteria.
  24. 24ImplementationAdoption, impact, incidents and supplier changes are reviewed periodically.

Five maturity levels

From exploring to assured

Level 1

Exploring — individual interest, limited shared controls

Level 2

Emerging — foundations developing, inconsistent application

Level 3

Controlled — defined approved uses and repeatable safeguards

Level 4

Integrated — governance, workforce and evaluation work together

Level 5

Assured — mature oversight with continuing independent challenge