Use this when you need to assess a client organization's readiness to adopt AI practices — at engagement kickoff, during a quarterly review, or when organizational friction is blocking AI adoption. Evaluates 10 dimensions and outputs a maturity profile with scores, weakest-link analysis, and a prioritized adoption roadmap.

Related skills: To assess platform team effectiveness (not org readiness), use /ai-platform-maturity-assess. To design the platform operating model, use /ai-platform-operating-model.

Process

Step 1: Set context

Ask the assessor:

1. What organization are you assessing? (Client name, team, or business unit.)
2. What is the context? (Engagement kickoff, quarterly review, or specific adoption challenge.)
3. How many people did you speak with to form your assessment? (Ideally 2-3 across tech, product, and leadership.)
4. Are there any known constraints? (Regulatory environment, recent leadership changes, active transformation programs.)

Step 2: Walk through the 10 dimensions

For each dimension, present the 5-level rubric and ask the assessor to score the organization. Go through them in order:

Core dimensions (1-6):

1. Prompt & Interaction Quality — Are there shared prompting practices, or is it ad hoc individual experimentation?
2. Evaluation Discipline — Does the org review AI outputs systematically, or is it hit-or-miss?
3. Workflow Integration — Are AI-assisted workflows documented and repeatable, or scattered individual usage?
4. Context & Knowledge Management — Is organizational context structured for AI consumption, or ad hoc?
5. Governance & Bounded Autonomy — Are there clear policies on what AI can do autonomously, or informal rules?
6. AI Foundations — Does the org understand AI capabilities and limitations, or are misconceptions common?

Organizational factors (7-10): 7. Tool Access & Infrastructure — Are AI tools provisioned and integrated, or do people use personal accounts? Behavioral indicators:

• Level 2: People use personal accounts for AI tools; no org-wide provisioning
• Level 3: Org provides developer-tier tools (Cursor, Claude Code, Copilot); may also provision prompt-to-app tools (Lovable, v0) for PMs and designers
• Level 4: Different tool tiers provisioned by role -- engineering amplifiers for developers, vibe coding tools for product/design, agent orchestration platforms for complex workflows
• Level 5: Tool strategy reviewed quarterly; new categories (agent orchestration, specialist builders) evaluated proactively as the market evolves

8. Change Management & Culture — Is there psychological safety around AI experimentation, or fear and resistance?
9. Data Governance & Privacy — Are there clear rules on what data flows through AI tools, or is it unclear?
10. Leadership Alignment — Is AI a strategic priority with executive sponsorship, or a grassroots effort?

For each dimension, use this rubric:

• 1 — Not Yet Started: No activity in this area
• 2 — Growing: Individual experimentation, no shared practices
• 3 — Meets Expectations: Documented, repeatable, team-level adoption
• 4 — Exceeds Expectations: Systematic, integrated, cross-team alignment
• 5 — Leading: Industry-leading, continuous innovation

Step 3: Generate the maturity profile

# Organizational AI Maturity Profile

**Organization:** (Name)
**Assessed by:** (Name and role)
**Date:** (Date)
**Context:** (Kickoff / Quarterly / Ad hoc)

---

## Dimension scores

| # | Dimension | Score | Level |
|---|-----------|-------|-------|
| 1 | Prompt & Interaction Quality | X/5 | (Level name) |
| 2 | Evaluation Discipline | X/5 | (Level name) |
| 3 | Workflow Integration | X/5 | (Level name) |
| 4 | Context & Knowledge Management | X/5 | (Level name) |
| 5 | Governance & Bounded Autonomy | X/5 | (Level name) |
| 6 | AI Foundations | X/5 | (Level name) |
| 7 | Tool Access & Infrastructure | X/5 | (Level name) |
| 8 | Change Management & Culture | X/5 | (Level name) |
| 9 | Data Governance & Privacy | X/5 | (Level name) |
| 10 | Leadership Alignment | X/5 | (Level name) |

**Overall maturity:** X/5 (weakest-link — determined by the lowest score)
**Average score:** X.X/5

## Weakest-link analysis

(Identify the 2-3 dimensions pulling the overall score down. For each, explain why it matters and what delivery risk it predicts.)

## Strengths

(Identify the 2-3 strongest dimensions. Acknowledge what the org is doing well.)

## Prioritized adoption roadmap

### Immediate (next 2 weeks)
- (Action targeting the lowest-scoring dimension)
- (Action targeting the second-lowest)

### Short-term (next 1-3 months)
- (Actions to bring weakest dimensions to level 3)

### Medium-term (next 3-6 months)
- (Actions to deepen strengths and address remaining gaps)

## AHI risk mapping

(For any dimension scoring below 3, flag the predicted delivery risk and recommended monitoring.)

| Weak dimension | Predicted risk | When it typically surfaces |
|----------------|----------------|--------------------------|
| (Dimension) | (Risk) | (Timing) |

Step 4: Review and discuss

Present the profile and ask:

• Does this match your impression of the organization?
• Are there contextual factors that explain low scores? (e.g., recent leadership change, pending tool procurement.)
• Which roadmap actions feel most achievable in the near term?
• When should we reassess? (Typically quarterly, or after major changes.)

Output location

Present the maturity profile as formatted text in the conversation. The assessor can copy it into their engagement documentation or present it to leadership.