The AI Capability Gap
Why most AI initiatives stall, and what it actually takes to scale one.
A leadership-level look at why 88% of organizations now use AI but only 7% have scaled it enterprise-wide, what separates the businesses that ship real AI capability from the ones stuck in pilot purgatory, and the engineering discipline required to close that gap.
// Inside the white paper
- Why more than 80% of AI projects fail to deliver business value, and the three forces driving that failure
- Industry-specific AI use cases across Financial Services, Healthcare, Professional Services, Manufacturing, and Nonprofits
- DivergeIT’s three engagement paths, from platform AI governance to custom agents to co-managed AI
- A real-world case study of a philanthropic foundation that launched a production AI platform in 4 weeks, one-third the typical timeline