Practical diagnostic · 20 points

AI Adoption Readiness Assessment

Purpose: Evaluate one AI opportunity—not the organization in general—across outcome clarity, workflow understanding, information readiness, safeguards and adoption capacity.

How to use it

Score evidence, not optimism.

For every statement, assign 1 point only when evidence supports a “yes.” Assign zero when the answer is no, unknown or based only on assumption. Involve the workflow owner and at least one person who performs the work.

The score is a decision aid, not a guarantee of success. A serious unresolved risk can outweigh a high total.

  1. 01 / 05

    Outcome clarity

    The opportunity has a specific, observable reason to exist.

    1. Can we state the desired outcome without naming an AI tool?
    2. Do we have a baseline for time, quality, cost or experience?
    3. Is the problem important enough for people to change how they work?
    4. Is one accountable business owner responsible for the outcome?
  2. 02 / 05

    Workflow understanding

    The current work and the people affected by it are understood.

    1. Has the current workflow been observed and mapped end to end?
    2. Have the people who perform the work helped describe its friction?
    3. Are exceptions, handoffs and review points documented?
    4. Can we identify where human judgment must remain?
  3. 03 / 05

    Information readiness

    Representative information is available, usable and permitted.

    1. Do we have representative examples for testing?
    2. Is the information sufficiently accurate and current?
    3. Are access rights, confidentiality and retention requirements understood?
    4. Can output quality be evaluated against a reliable reference?
  4. 04 / 05

    Risk and safeguards

    The downside is understood and proportionate controls are possible.

    1. Have privacy, security, bias and reputational risks been considered?
    2. Is there a clear point where a person reviews or overrides the system?
    3. Can failures be detected before they cause material harm?
    4. Is acceptable and prohibited use clear to participants?
  5. 05 / 05

    Adoption capacity

    The organization can test, learn and support the changed workflow.

    1. Is a small group available to participate in a realistic pilot?
    2. Are technical and operational owners able to work together?
    3. Is there time for feedback, enablement and iteration?
    4. Will evidence determine whether the initiative improves, scales or stops?
Interpretation

What your score suggests

0–7

Clarify first

The opportunity is still an idea. Define the outcome and study the workflow before selecting a solution.

8–13

Explore carefully

Important foundations exist, but gaps remain. Run discovery and a low-risk prototype; do not scale yet.

14–17

Ready to pilot

The opportunity is suitable for a controlled pilot with explicit safeguards and success measures.

18–20

Strong foundation

Proceed with a measured pilot. A high score still requires monitoring, feedback and human oversight.

What happens next?

Use the result to identify the weakest dimension, then improve that evidence before committing more resources. When the opportunity is ready, apply the CLEAR AI Adoption Framework: Clarify, Locate, Experiment, Adopt and Review.

How to reference this assessment

Dabhi, Mitesh. “AI Adoption Readiness Assessment.” MiteshDabhi.com, 10 July 2026. https://www.miteshdabhi.com/ai-adoption-readiness-assessment