AIDA assessment

A directional score in five minutes.

Eighteen statements across six dimensions. No email, no gate, no follow-up sequence. The score is yours the moment you finish it.

18 statementsNo emailPrintable result

Scale. 1 Never · 2 Rarely · 3 Partial · 4 Usually · 5 Embedded. Answer as the organization actually is today, not as the plan says it will be.

0 of 18 answered

Strategy & Vision · 1 of 18

We have a documented AI strategy with named owners, dates, and success metrics the board would recognize.

Strategy & Vision · 2 of 18

Use cases are prioritized by ROI, risk, and time-to-value — not by whichever vendor last visited.

Strategy & Vision · 3 of 18

Leadership can say, in numbers, what 'AI working' looks like for this organization in the next 12 months.

Data Infrastructure · 4 of 18

Critical data is accessible, trusted, and documented by the people who actually use it.

Data Infrastructure · 5 of 18

Data ownership, quality, and lineage would survive an audit — not just a demo.

Data Infrastructure · 6 of 18

Pipelines can support a production AI system, not only a spreadsheet export.

Talent & Capabilities · 7 of 18

Executives and managers share a working vocabulary for AI. It is not only an IT topic.

Talent & Capabilities · 8 of 18

We are clear on what to build internally, what to buy, and what to partner for.

Talent & Capabilities · 9 of 18

Front-line teams have time and permission to use AI tools in the work, not after hours.

Technology Stack · 10 of 18

Core systems expose APIs or integration points we can actually use.

Technology Stack · 11 of 18

Cloud, identity, and security are mature enough for a production AI workload.

Technology Stack · 12 of 18

We have a process to evaluate, pilot, and retire AI tools — not a graveyard of unused licenses.

Governance & Ethics · 13 of 18

Written policies exist for responsible AI, data use, and model risk.

Governance & Ethics · 14 of 18

A named person is accountable when an AI system is wrong, biased, or leaks data.

Governance & Ethics · 15 of 18

We can map our posture to NIST AI RMF or an equivalent control set.

Change Readiness · 16 of 18

Past technology rollouts succeeded because people changed how they work.

Change Readiness · 17 of 18

AI adoption has a named change owner and a communication plan, not just a kickoff email.

Change Readiness · 18 of 18

Middle managers will champion this. They will not quietly starve it of attention.