Quick Answer
For search, voice, and "just tell me what to do".
Planning in motion means treating strategy as hypothesis that gets refined by incoming data. AI enables this by continuously comparing plans to results, identifying divergences, and suggesting course corrections before they become urgent.
Key Takeaways:
- Reality changes faster than annual planning cycles
- Continuous adjustment beats periodic overhaul
- AI makes continuous planning practical at small scale
- Strategy should be a process, not an event
Playbook
State current strategy as specific, testable hypotheses
Define what evidence would prove hypotheses wrong
Set up AI monitoring for relevant metrics
Review AI flags weekly for potential course corrections
Make small adjustments continuously vs big changes rarely
Document why adjustments were made for learning
Share strategy updates with team continuously, not annually
Common Pitfalls
- Changing strategy too frequently (no time to see results)
- Ignoring signals because 'the plan says otherwise'
- Adjusting tactics while missing needed strategy shifts
- Making changes without understanding what changed
Metrics to Track
Time to detect strategy-reality divergence
Adjustment frequency and magnitude
Strategy hypothesis validation rate
Team alignment with current strategy
FAQ
How often should strategy be adjusted?
Small adjustments monthly based on data. Major pivots only when evidence is compelling. The goal is responsiveness without whiplash - informed evolution rather than reactive lurching.
How do I know if a strategy change is warranted?
When your hypotheses are proven wrong by data, when market conditions materially change, or when better opportunities emerge. AI helps by making these signals visible rather than buried in noise.
Won't constant changes confuse my team?
Constant communication of evolving strategy is different from constant reversals. Share the 'why' behind adjustments. Teams handle evolution better than they handle discovering outdated plans.
Related Reading
Next: browse the hub or explore AI Operations.