SOURCE-LINKED INTELLIGENCE
The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment
Enterprise AI agents often succeed in a demonstration and then stall once they must operate day after day. An industry report estimates that most pilots never reach production and that deployed systems rarely retain feedback or improve over time, while agent benchmarks show single-run successes masking unreliable repetition. We argue that these failure modes share a common architectural root: agents reason over data structured for human operators and traditional applications, not for the language models that power them. This position paper proposes that companies deploying agents in sustained
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-11T09:48:43.000Z
First collected: 2026-09-20T18:22:04.777Z. This is not the publication date.