Decision guide
AI Readiness: What Organisations Should Assess
A practical AI readiness framework covering strategy, workflows, data, technology, governance, workforce and value.
Key principles
Readiness is not a single score; an organisation can be strong in technology but weak in governance, data quality or adoption.
Assess the specific workflows and decisions you intend to change.
A useful assessment should lead to prioritised actions, not merely a maturity label.
Decision checklist
✓ Strategy and ownership
✓ Process and use-case quality
✓ Data and integration readiness
✓ Governance and security
✓ Workforce capability and change
✓ Value measurement
How DataLgorithmics approaches the decision
Define the operating problem, identify the evidence required, compare realistic options, establish success and control criteria, and make the smallest justified investment that can answer the decision.