Most AI Products Never Connect to Revenue
Source: Featured Blogs - Forrester
Forrester's data shows a gap between AI deployment and business outcomes: organizations are building and shipping AI features at scale but lack frameworks to measure ROI or tie them to revenue impact. The problem is go-to-market, not technology. Product teams optimize for implementation speed rather than customer value capture. Boards and investors who funded these initiatives expect measurable returns. Companies that solve for revenue attribution and customer adoption metrics before full-scale deployment will outpace those shipping first and figuring out the business case later.