Enterprises are deploying thousands of AI agents that run end‑to‑end processes—from lead generation to financial reconciliation. A midsize firm can field 4,000 agents, each influencing revenue, compliance, and customer experience. The upside looks huge, yet unchecked autonomy threatens operational chaos if alignment mechanisms lag.

Research from Boston Consulting Group shows 60 % of firms see little financial lift despite heavy AI spend, while leaders capture five‑fold revenue gains. Their edge isn’t newer models but solid data pipelines that close the reliability gap. A four‑quadrant lens—models, tools, context, governance—pinpoints where agents stumble, and protocols like Model Context Protocol (MCP) streamline integration.

Companies that first unify master data can launch thousands of agents with confidence; those that skip this step watch contradictory actions erode trust. Reltio offers a platform that consolidates core records, delivering a single source of truth for every agent. Watch whether enterprises prioritize data readiness or spend years firefighting misaligned AI.