WRITING / INFRASTRUCTURE
Enterprise AI Projects Fail at Scale Because They Lack Execution Infrastructure—Not Better Prompts
Enterprise LLM pilots stall on workflow problems, not model problems. What they lack is structured execution: a planner, cost guards and an audit trace.
AI21's Maestro planner pushed GPT-4o accuracy on IFEval from ~85% to 91.9% and Claude Sonnet 3.5 from ~88% to 95.2%—without changing either model. ( AI21 )
Published July 25, 2025. Reading time: 4 min read. Author: Morgan Wilson.