09/09/2026
Only 12% of enterprise AI agent projects make it from pilot to production.
The other 88%? Not a model problem. An engineering problem.
We just published a breakdown of why this happens and the specific architecture decisions that separate agents that work in a demo from agents a business can actually depend on:
Key Insights Covered:
- The Step Reliability Tax: Why a 90% accurate model fails 65% of the time on a 10-step task
- RAG vs. Stateful Memory: Why vanilla retrieval fails session continuity
- Plan-Validate-Execute Pattern: Decoupling decision-making from tool ex*****on
- Enterprise MCP Gateways: Shielding backends from prompt injection and tool poisoning
If your team is past the "impressive demo" stage and trying to figure out what production actually requires, this is worth 5 minutes.
Read it here → https://hubs.la/Q04x16z40