A Practical Framework for Choosing Your First Business AI Project

Score AI opportunities by value, feasibility, risk, and the team's ability to adopt the result.

Begin with a portfolio, not a favorite idea

List recurring workflows across the business, then compare them using the same criteria. This prevents novelty or vendor pressure from deciding the roadmap.

Score four dimensions

A strong first project balances operational value, technical feasibility, manageable risk, and adoption readiness.

  • Value: frequency, delay, and business consequence
  • Feasibility: available data, integrations, and clear outputs
  • Risk: reversibility, sensitivity, and oversight
  • Adoption: ownership, incentives, and fit with current work

Prefer a narrow project with a complete outcome

Choose a workflow that can reach production, collect feedback, and show whether the approach works. The first project should create organizational learning as well as a useful capability.

Map an Operational Opportunity