The AI Product Framework
A capability-first methodology for building products with purpose
Example Solution Canvas
With a viable opportunity and its readiness conditions understood, Solution Strategy & Constraints translates the decision to move forward into a defined product approach. This phase establishes what the solution should do, how AI contributes to the experience, where human judgment remains essential, and the boundaries within which the product should operate.
The outcome is a focused solution strategy that gives product, design, engineering, and business teams a shared understanding of what they are building and the constraints that will shape it.
What's Included:
• Solution Objective
• AI Role
• Experience & Workflow
• Human Oversight
• Constraints & Guardrails
• Success & Failure Behavior
Solution strategy begins with the selected opportunity and the conditions identified during AI Readiness. Rather than designing an unconstrained ideal state, the team defines the smallest coherent solution capable of delivering the intended value within those realities. Readiness gaps become explicit dependencies or constraints, AI responsibilities are separated from deterministic workflows and human decisions, and expected behaviors are defined alongside failure and escalation conditions. The result establishes a clear product boundary before detailed agent behavior or implementation design begins. The resulting strategy provides the foundation for defining product capabilities, drafting epics, and shaping the initial feature set.
Define the Approach

Adoption & Trust
Solution & Constraints
PHASES
AI PRODUCT FRAMEWORK