WorkAugust 24, 2026via Forrester Blog
Too Many AI Use Cases, Too Little Impact
Why it matters
AI deployment has shifted from 'can we build it?' to 'should we build it?' — practitioners now face a prioritization and ROI measurement problem that separates real value from pilot theater. This is a business strategy story, not a technical one.
Key signals
- Problem framed as prioritization, not capability
- Focus on business value, impact, feasibility, and strategic alignment
- Organizations struggling to translate pilots into measurable outcomes
- Forrester advisory/best-practice content
- Problem framed as prioritization, not AI capability gap
- Evaluation criteria: business value, impact, feasibility, strategic alignment
- Widespread pilot-to-production bottleneck in organizations
- Focus on measurable business outcomes vs. proof-of-concept proliferation
The hook
Organizations have 50+ AI pilots. Most deliver nothing. Here's how to pick the ones that matter.
Organizations are flooded with AI ideas, pilots, and proofs of concept, yet many struggle to translate them into measurable business outcomes. The problem is not a lack of AI use cases. The problem is prioritization. Learn how to evaluate AI opportunities through the lens of business value, impact, …