Featured deep dive · The Signal Filter
Signal vs Noise: Why 90% of Enterprise Agentic AI Pilots Fail to Reach Production in 2026
Compounding error, latency, token creep and context rot sink most agentic pilots; bounded workflows, scoped contexts and human checkpoints are what reach production.
- The 90 per cent headline is a desk synthesis of MIT NANDA's no-P&L-impact finding, Gartner's cancellation forecast and practitioner reporting, and each measures something different.
- Reliability compounds: ten steps at 95 per cent each give roughly 60 per cent end-to-end success, so every extra autonomous step cuts reliability.
- Accumulating transcripts makes token cost grow roughly quadratically and pushes models into the long-context regime where accuracy degrades.





