AI Strategy
Find where AI actually creates value in your business.
- ✓Mapping your value chain for AI
- ✓Spotting high-volume, error-tolerant tasks
- ✓Avoiding 'AI for AI's sake'
Explanation
Good AI strategy starts with the business, not the technology. Map your value chain and look for steps that are high-volume, repetitive, and tolerant of small errors (where 90% accuracy with a human check is fine).
Those are where AI pays off fastest — support triage, document summarising, drafting, lead scoring. Avoid high-stakes, zero-tolerance steps for early projects.
The goal is measurable business impact, not a flashy demo.
A company that automated first-line support replies (high volume, human-reviewed) saw faster wins than one chasing a moonshot autonomous agent.
- • Adopting AI because it's trendy rather than because it solves a costly, repetitive problem.
List three repetitive tasks in your work and rank them by volume and error tolerance.
1. Which task is the best early AI candidate?