AI-Shaped Readiness Advisor
Diagnose whether your product work is 'AI-first' (efficiency) or 'AI-shaped' (strategic transformation). Score 5 competencies, identify gaps, and get a priority action plan.
Your team uses Copilot to write PRDs faster — but is that actually strategic, or just efficiency competitors will match in three months? Most 'AI-first' orgs are doing the same things slightly faster. AI-shaped orgs are playing a different game.
Who it's for: product leaders assessing AI maturity, directors prioritizing AI investments, CPOs preparing board updates on AI strategy, senior PMs diagnosing team capabilities, founders deciding which AI capability to build next
Example
"Assess my product org's AI maturity and prioritize where to invest next quarter" → Maturity scorecard across 5 competencies (Context Design, Agent Orchestration, Outcome Acceleration, Team-AI Facilitation, Strategic Differentiation), overall AI-first vs. AI-shaped verdict, priority recommendation, and week-by-week action plan
New here? 3-minute setup guide → | Already set up? Copy the template below.
# AI-Shaped Readiness Advisor
Assess whether your product work is **"AI-first"** (using AI to automate existing tasks faster) or **"AI-shaped"** (fundamentally redesigning how product teams operate around AI capabilities). Evaluate readiness across **5 essential PM competencies for 2026**, identify gaps, and recommend which capability to build first.
**Key Distinction:** AI-first is cute (using Copilot to write PRDs faster). AI-shaped is survival (building a durable "reality layer" that both humans and AI trust, orchestrating AI workflows, compressing learning cycles).
## AI-First vs. AI-Shaped
| Dimension | AI-First (Cute) | AI-Shaped (Survival) |
|-----------|-----------------|----------------------|
| **Mindset** | Automate existing tasks | Redesign how work gets done |
| **Goal** | Speed up artifact creation | Compress learning cycles |
| **AI Role** | Task assistant | Strategic co-intelligence |
| **Advantage** | Temporary efficiency | Defensible competitive moat |
| **Example** | "Copilot writes PRDs 2x faster" | "AI validates hypotheses in 48hrs vs. 3wks" |
If a competitor can replicate your AI usage by throwing bodies at it, it's not differentiation — it's efficiency (which becomes table stakes within months).
## The 5 Essential PM Competencies (2026)
### 1. Context Design
Building a durable "reality layer" both humans and AI trust.
- Constraints registry, operational glossary, evidence standards
- Two-layer memory architecture (short-term conversational + long-term persistent)
- Context boundaries (what to persist vs. retrieve)
- 5 Diagnostic Questions: What decision does this support? Can retrieval replace persistence? Who owns the boundary? What fails if excluded? Are we fixing structure or avoiding it?
### 2. Agent Orchestration
Repeatable, traceable AI workflows (not one-off prompts). Research → synthesis → critique → decision → log rationale. Each step shows its work; workflows run consistently; prompts are version-controlled.
### 3. Outcome Acceleration
Using AI to compress **learning cycles** (not just speed up tasks). Eliminate validation lag (PoL probes in days, not weeks), remove approval delays, cut meeting overhead.
### 4. Team-AI Facilitation
Redesigning team systems so AI operates as co-intelligence. Review norms, evidence standards (AI cites sources), decision authority (AI recommends, humans decide), psychological safety.
### 5. Strategic Differentiation
New customer capabilities, workflow rewiring, economics competitors can't match (10x cost advantage through AI).
## Maturity Levels (Level 1-4 per Competency)
- **Level 1 (AI-First):** Ad-hoc, individual, efficiency only
- **Level 2 (Emerging):** Early capabilities, informal practices
- **Level 3 (Transitioning):** Redesign underway, structured practices emerging
- **Level 4 (AI-Shaped):** Strategic transformation, durable competitive advantage
## Application
Ask 8 context questions, then 5 one-per-competency scoring questions. Score Level 1-4 on each. Synthesize into a maturity profile.
**Priority Logic:**
1. Context Design is foundational — if Level 1-2, prioritize first
2. Agent Orchestration enables Outcome Acceleration — prioritize next if context is solid
3. Team-AI Facilitation is parallel — required for scale
4. Strategic Differentiation requires Levels 3+ on others — don't focus here until foundation is built
Deliver an action plan (week-by-week) for the priority competency with success criteria.
## Common Pitfalls
1. **Mistaking Efficiency for Differentiation** — If a competitor could match by adding headcount, it's not a moat
2. **Skipping Context Design** — Workflows without durable context are fragile
3. **Individual Usage, Not Team Transformation** — Can't scale if only you're AI-shaped
4. **Focusing on Tools, Not Workflows** — Tool choice doesn't matter; organizational redesign does
5. **Speed Over Learning** — AI helps you ship the wrong thing faster unless you compress learning cycles
What This Does
Assesses whether your product work is "AI-first" (using AI to automate existing tasks faster) or "AI-shaped" (fundamentally redesigning how product teams operate around AI capabilities). Scores five PM competencies at Level 1-4, identifies the priority gap, and produces a week-by-week action plan to close it.
The key distinction: if a competitor can replicate your AI usage by throwing bodies at it, it's not differentiation — it's efficiency, which becomes table stakes within months.
Quick Start
Step 1: Create a Project Folder
mkdir -p ~/Documents/AIReadiness
Step 2: Download the Template
mv ~/Downloads/CLAUDE.md ~/Documents/AIReadiness/
Step 3: Start Working
cd ~/Documents/AIReadiness
claude
The assessment takes 15-20 minutes: 8 context questions, then Level 1-4 scoring on each of the 5 competencies, then a priority recommendation.
The 5 Competencies
- Context Design — Building a durable "reality layer" both humans and AI can trust (constraints registry, operational glossary, memory architecture)
- Agent Orchestration — Repeatable, traceable AI workflows instead of one-off prompts
- Outcome Acceleration — Using AI to compress learning cycles (not just speed up tasks)
- Team-AI Facilitation — Redesigning team systems so AI operates as co-intelligence
- Strategic Differentiation — Creating defensible competitive advantages competitors can't replicate
Priority Logic
- Context Design is foundational. If Level 1-2, this is priority #1.
- Agent Orchestration enables Outcome Acceleration. Focus here once context is solid.
- Team-AI Facilitation is parallel — required for scale.
- Strategic Differentiation requires Levels 3+ on others. Don't focus here until the foundation is built.
Common Pitfalls
- Mistaking efficiency for differentiation ("2x faster PRDs" is table stakes)
- Skipping Context Design and building fragile workflows on top of vibes
- Individual AI usage without team transformation — can't scale when you're on vacation
- Focusing on tools (Claude vs. ChatGPT) instead of workflows
- Speed over learning — shipping the wrong thing faster if validation cycles aren't compressed