Enterprise agents need a shared data foundation and governed execution layer before they can coordinate reliable end-to-end workflows. This matters now because agent builders can create local automation faster than enterprises can reconcile conflicting definitions, permissions, and data quality.
McKinsey recommends scaling a limited number of end-to-end workflows instead of multiplying disconnected point agents. The article connects reusable data products, semantic consistency, lineage, and governed execution with reliable agent operation. The mechanism is a common context layer that resolves business meaning, traces data origin, supplies reusable interfaces, and constrains how agents act across systems of record.
Architecture teams should treat semantic contracts, lineage, ownership, and execution policy as reusable platform capabilities tied to priority workflows. The evidence is McKinsey's management and technology framework; reported client outcomes should not be treated as universal benchmarks. Watch whether organizations can reuse the same governed context across multiple agents without increasing exceptions or reconciliation work. The official companion presentation or report deck is available here: view the presentation.