AI Planning
Definition
AI capability to decompose goals into actionable steps, sequence tasks, and adapt plans based on feedback and changing conditions.
Why It Matters
Key Takeaways
- 1.AI Planning is a foundational concept for modern business strategy
- 2.Understanding this helps teams make better technology and growth decisions
- 3.Practical application requires combining theory with data-driven experimentation
Real-World Examples
Applied ai planning to achieve significant competitive advantages in their markets.
Growth Relevance
AI Planning directly impacts growth by influencing how companies acquire, activate, and retain customers in an increasingly competitive landscape.
Ehsan's Insight
AI planning is the capability gap between current agents and truly useful ones. Today's agents can execute individual tasks well but fail at multi-step plans that require adapting when steps fail. The problem is not intelligence — it is search. Planning requires exploring a tree of possible actions and outcomes, which is computationally expensive for LLMs. The practical workaround: pre-define common plan templates and let the agent fill in details rather than generating plans from scratch. One customer success agent I helped build reduced plan failures 75% by providing 20 plan templates instead of asking the model to plan from a blank slate. Constrained planning beats open-ended planning every time.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council