Agentic Systems Require Validation Gates For Reliability
McKinsey's November 2025 survey shows 62% of organizations are experimenting with AI agents, and top performers integrate them into core workflows for efficiency and innovation. The article argues agentic systems fail because probabilistic errors compound across unvalidated handoffs rather than model quality alone, and demonstrates that validation gates and schema enforcement materially improve system-level reliability and cost predictability.
Key Points
- 1Survey shows 62% of organizations are experimenting with AI agents in core workflows
- 2Composing agents without validation compounds probabilistic errors, degrading overall system reliability multiplicatively
- 3Implement validation gates, schema enforcement, and test-time search to recover failures and improve reliability
Scoring Rationale
Strong, actionable architectural guidance grounded in industry survey supports high impact, but lacks peer-reviewed empirical validation evidence.
Sources
Public references used for this report.
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