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.
Scoring Rationale
Strong, actionable architectural guidance grounded in industry survey supports high impact, but lacks peer-reviewed empirical validation evidence.
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