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Use Case Selection & Prioritization

Overview​

While AI offers endless possibilities, success comes from starting focused. The best practice is to consolidate enterprise-wide suggestions into a few strategic lighthouse projects that can demonstrate value and pave the way for broader adoption.

Selection Process​

Gathering Input​

  • Company-wide Survey
  • Department Workshops
  • Expert Interviews
  • Pain Point Analysis

Consolidation Criteria​

  • Business Impact
  • Implementation Effort
  • Risk Profile
  • Reusability Potential

Lighthouse Projects​

Key Characteristics​

  • Quick Wins
  • High Visibility
  • Clear Metrics
  • Scalable Learnings

Success Factors​

  • Executive Support
  • Resource Availability
  • Clear Ownership
  • Defined Timeline

Implementation Path​

Getting Started​

  1. Collect all use case suggestions
  2. Consolidate similar cases
  3. Apply selection criteria
  4. Choose 2-3 lighthouse projects
  5. Set clear success metrics

See our agile approach