Over one third of organizations waste 25 to 40 percent of their R&D budgets on failed projects. Teams estimate over $1 million in losses for every project killed during testing. Most firms apply AI to execution tasks rather than early-stage decision support. This gap leaves critical ideation and feasibility stages under-optimized.