When AI agents agree on the data but not what it means

VentureBeat · VB Staff · 2026-11-02 15:30 UTC

Enterprise AI agents need more than access to data. Learn why shared business context and semantics are critical to keeping multi-agent systems aligned.

Presented by SAP

Enterprise AI agents that share the same data can still make conflicting decisions because raw data rarely captures the business context — the processes, policies and priorities that determine what that data means to the company. As agents take on more decision-making, those gaps in context become harder to contain.

Three problems emerge when multiple agents act without shared business semantics: identical figures lead different functions to different conclusions, agents that work correctly on their own combine into the wrong outcome, and accuracy degrades as data accumulates.

Read the full story at VentureBeat · All coverage of this story