The Dynamic Context Store: How the System of Record Mutates

The system of record doesn’t vanish in the agentic era. It mutates. Static schemas designed for human queries become living context graphs designed for agent consumption.

Old vs New

The old system of record stored periodic snapshots of structured data optimized for reporting and compliance. The new Dynamic Context Store operates on event-driven, real-time updates with rich semantic state — intent, history, probability, next-best-action.

Records become traces of agent actions, not inputs for human navigation. OpenAI calls this the “Business Context” layer: a semantic layer all agents reference to operate effectively.

The Structural Inversion

In traditional ERP systems, record-keeping is the goal. Actions are taken to capture, reconcile, and report them. Execution exists largely to keep the system of record consistent.

Agentic systems reverse that logic. Actions come first. Decisions are made continuously, in context, and in real-time. Records are automatically generated as a byproduct of what happened.

Essential but Not Highest Value

As SaaS — as explored in the shift from SaaS to agentic service models — tr’s Jason Lemkin argued: “If you own the data layer, you win. AI agents need to read from somewhere. They need to write somewhere.” He’s right that the data layer remains essential. But “essential” is different from “highest value.”

The data layer becomes necessary infrastructure — as explored in the economics of AI compute infrastructure — whose margins compress as it becomes increasingly interchangeable when a shared semantic layer sits above it. Think of it as the difference between owning prime real estate and owning the utility lines — both necessary, one captures more margin.

This is part of a comprehensive analysis. Read the full analysis on The Business Engineer.