Live demo of supply chain exception handling, with governance built in

 

Manufacturing supply chains run on constant change: late shipments, short quantities, revised delivery dates, quality issues, and engineering changes. The first signs of those changes often arrive in documents such as purchase orders, supplier acknowledgements, bills of lading, packing slips, and quality certificates. When teams catch them late or by hand, problems escalate before anyone can act.

In this live demo, see how Automation Anywhere's Agentic Process Automation platform puts AI agents to work on a supply chain exception. As supplier and quality documents arrive, AI agents extract and validate information, identify compliance and quality issues, evaluate production impacts, and recommend next best action, with human approval at key decision points.

Leave with a practical view of how agentic workflows can cut manual effort, resolve exceptions faster, and build more resilient operations.

What You'll Learn:

  • How AI agents  monitor supply chain process activity and detect exceptions across  supplier, logistics, and inventory information
  • How document  data is captured and validated as a trusted input within the workflow
  • How agents  weigh business context and recommend actions to planners, buyers, and  operations teams
  • How governance  and human-in-the-loop controls keep every recommendation transparent and  auditable
  • Where this  approach delivers impact: faster exception resolution, better inventory  visibility, improved supplier responsiveness, and increased planner  productivity

Bill Galusha

Product Marketing Director, Document Automation

Automation Anywhere

Alex Fowler

Senior Sales Engineer

Automation Anywhere

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