Enterprise AI Readiness Assessment

What this template is for

The Enterprise AI Readiness Assessment helps organizations determine whether they are ready to move from isolated exploration into execution at scale.

It is designed for cases where leadership wants to accelerate AI adoption but needs a clearer picture of what is already in place, what is missing, and what should be strengthened first.

Who should use it

• Leadership teams preparing an AI transformation program.
• Enterprise architects and platform leads assessing implementation conditions.
• Business transformation teams comparing readiness across functions.
• Advisory or internal strategy teams facilitating an early-stage diagnostic.

What’s inside the template

• Readiness domains covering strategy, value case, governance, data, operating model, delivery capability, and technical platform conditions.
• A maturity scoring model for identifying weak spots and uneven capability.
• A space to record blockers, dependencies, and non-technical risks.
• Guidance for interpreting readiness gaps by severity and impact.
• A prioritization prompt for choosing the next best improvement steps.

How to use it

1. Complete the assessment with both business and technical leaders in the room.
2. Score current-state capability honestly rather than aspirationally.
3. Capture evidence or examples that justify each score.
4. Group gaps into immediate blockers, medium-term improvements, and strategic build requirements.
5. Convert the findings into a phased readiness improvement plan.

When to use it

• Before launching an enterprise-wide AI program.
• When pilots exist but scale remains inconsistent.
• When leaders disagree about whether the organization is ready for broader rollout.

When not to use it

• When the only question is which model vendor to pick.
• When no executive sponsor exists and there is no path to act on the findings.
• When a team needs a narrow project health check rather than enterprise readiness analysis.

Expected business outcome

The assessment gives leaders a more realistic view of execution conditions. It helps prevent scaling fragile pilots, clarifies where investment should go first, and reduces the risk of treating AI adoption as a tooling exercise.

PDF version

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Typical outputs from the assessment

• A readiness heatmap.
• A list of top capability gaps.
• A short sequence of recommended next moves.