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Do AI agents hallucinate in commerce?
Hallucinations in commerce
AI agents do not hallucinate in commerce when bounded by ERP master data validation. Every transaction is checked against customer, product, and pricing records before posting. Hallucinated SKUs, prices, or quantities fail validation and route to exception. The validation layer is what separates production-grade Autonomous Commerce from generic LLM applications.
AI hallucination in depth
Key terms
- Hallucination
- AI output that is plausible but unsupported by source data.
- Grounded answer
- An answer constrained to validated source records.
- Retrieval-augmented
- Pulling facts from systems of record before answering.
- Confidence score
- Per-output certainty signal.
- Human-in-the-loop
- Escalation path for low-confidence cases.
Proof points
- 99 percent first-time-right rate on autonomous orders.
- Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).
- Danfoss processes orders in under 1 minute across 26 countries.
- Danfoss onboards new countries in 1 day instead of months.
Frequently asked questions
What guardrails are in place?
Role-based access, encryption in transit and at rest, audit trails on every action, and human-in-the-loop on policy-defined exceptions. Confidence thresholds gate every autonomous commit.
How is risk handled in production?
Every transaction is logged and reversible. Low-confidence cases route to human review. Master data validation against the ERP prevents bad writes. Change control gates every model and policy update.
What evidence backs the answer?
More than 30 billion B2B transactions executed across the Go Autonomous customer base, with autonomous orders running at 99 percent first-time-right. Customers include Nilfisk, Danfoss, Mediq, IFM, Velux, and Hempel.
AI hallucination in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
AI hallucination in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
