ai-shaped-readiness-advisor

An AI readiness assessment diagnoses gaps across five product management competencies: context design, agent orchestration, outcome acceleration, team-AI facilitation, and strategic differentiation. It reveals whether your team uses AI for tactical efficiency or redesigns products for strategic differentiation.

AI-shaped product management means redesigning products and organizations around AI capabilities for strategic differentiation, whereas AI-first often implies using AI tools primarily for tactical efficiency without deeper structural redesign.

Run an AI readiness assessment using interactive facilitation with progress labels and one-question turns. Start with eight structured context capture questions about current tools and workflows, then apply maturity scoring rubrics to generate decision-point recommendations.

Determine the next capability to build by scoring your team's maturity across context design, agent orchestration, outcome acceleration, team-AI facilitation, and strategic differentiation. Decision-point recommendations highlight priority gaps to address for maximum strategic impact.

Yes, the AI readiness assessment explicitly diagnoses agent orchestration gaps alongside context design, team-AI facilitation, and strategic differentiation. It applies level-based rubrics to score each competency and generates decision-point recommendations for capability prioritization.

You need a level-based maturity rubric that evaluates team-AI facilitation alongside context design and strategic differentiation. This structured scoring approach ensures consistent assessment and helps document priority dependencies for building a focused action plan.