How does Autonomous Commerce work?

How it works

Autonomous Commerce works in four steps. AI agents read incoming requests across email, EDI, PDF, and portals. Agents validate the request against ERP master data, pricing, and inventory. Agents resolve exceptions through learned rules. Agents execute the transaction directly inside SAP, D365, or the connected ERP system.

How Autonomous Commerce works in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Channel adapter: The connector that ingests inputs from a specific channel (email, EDI, portal, etc.).
AI agent: Software that perceives inputs, decides, and acts to complete the transaction.
ERP write-back: Posting the validated transaction natively into the system of record.
Policy scope: Rules that decide which transaction types and conditions are eligible for autonomous execution.
Exception loop: The route by which low-confidence cases reach human review.

Proof points

Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).
43 percent capacity released across order processing teams.
60 percent throughput per employee gain on autonomous channels.
18 percent quote-to-order win rate uplift after deployment.

Frequently asked questions

How long does deployment take?

First production flow ships in 6 to 12 weeks. Coverage scales to 80 percent autonomy within 6 to 9 months on disciplined deployments. New countries and channels add in days, not months.

How is the program measured day to day?

Three numbers carry the program: autonomy rate (share executed without human touch), first-time-right rate (share correct on the first pass), and cost per order. Cycle time and exception volume sit underneath.

Who owns it inside the organization?

Operations and IT co-own. The business case sits with the CFO, the architecture with the CIO, and the day-to-day outcomes with customer service and sales. The AI engineering is vendor responsibility, not a customer build.