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POV · Series 03

Why Most Enterprises Will Fail at Agentic AI.

Most enterprises will fail at agentic AI for the same reason most enterprises failed at data: they treated the foundation as a separate workstream that could happen later. Agents inherit the data layer's problems. If the data layer is broken, the agent is broken. The data layer is the agentic layer.

The Argument

The provocation.

The popular narrative about agentic AI is that it is a model problem, a framework problem, or a tooling problem. The popular narrative is wrong. Agents read data, ground against data, and act on data. If the data they read is stale, the agent acts on stale information. If the data they ground against is poorly curated, the agent hallucinates against weak retrieval. If the data they act on is not lineage-traced, the agent's decisions are not auditable.

Most enterprises will discover the foundation problem the way they always do : after a few quarters of disappointing pilots blamed on the wrong layer. This series argues the foundation problem in advance, so the executive can make the data investment before the agent investment compounds the wrong way.

“Agents fail at the data layer before they fail at the model layer. The companies that solve the data layer first will run the agents the rest of the category is still pilot-testing.”

Move the data foundation first. AI runs against it after.