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Building Agentic AI Systems That Work in Supply Chain Operations

Building Agentic AI Systems That Work in Supply Chain Operations

Lisa Warren
January 1, 2026 26 views Agentic AI

"Most supply chain leaders think they are making real-time decisions because they have dashboards and alerts."

What Is Agentic AI for Supply Chain Operations

Autonomous decision systems that execute pre-defined business logic within established constraints.

The Decision Latency Problem

Supply chain organizations operate with systemic decision delays. 83% of supply chain leaders cannot respond to disruptions within 24 hours.

Key Takeaways

  1. Decision Latency: 24-72 hour delays create competitive disadvantage
  2. Decision Architecture First: Extract institutional logic before deployment
  3. Staged Trust Framework: Shadow to Supervised to Autonomous
  4. Multi-Dimensional Confidence: Evaluate data, pattern, outcome
  5. Transaction Guardrails: 15-20% limits
  6. Decision Velocity: Speed advantages drive ROI
  7. Focused Implementation: 3-5 high-impact decisions

Ready to Reduce Your Supply Chain Decision Latency?

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Agentic AI AI Agents Machine Learning Artificial Intelligence

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