What is Exception Handling in B2B Commerce?

What exception handling is

Exception handling is the process of resolving orders, quotes, or claims that deviate from the standard path. Common exceptions include missing customer numbers, partial SKU matches, and pricing mismatches. AI agents in Autonomous Commerce resolve 70 to 90 percent of exceptions automatically, routing only true edge cases to humans.

Exception Handling in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Exception type: The class of issue (e.g. unmatched material, blocked customer, price gap).
Routing rule: Policy that decides who or what handles each exception type.
Confidence threshold: The score below which an AI agent escalates instead of committing.
Resolution time: How long an exception takes from raised to closed.
Escalation: Sending an exception up to a supervisor or specialist queue.

Proof points

99 percent first-time-right rate on autonomous orders.
Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).
43 percent capacity released across order processing teams.
Danfoss processes orders in under 1 minute across 26 countries.

Frequently asked questions

What are common exception types in B2B order processing?

Common exceptions include unknown customer, unmatched product, price mismatch, credit hold, stock shortage, incoterm conflict, and missing PO reference. Each maps to a routing rule and an owner.

Should AI handle exceptions or escalate to humans?

AI should resolve exceptions where deterministic rules and master data exist (price mismatch, stock allocation). AI should escalate exceptions involving credit, regulatory, or commercial judgment. The split is policy-driven.

How long does exception resolution take?

Manual exception resolution averages 15 to 60 minutes per case. AI-resolved exceptions close in seconds. AI plus human-in-the-loop resolves complex cases in under 5 minutes.