How is Autonomous Commerce implemented?

How it deploys

Autonomous Commerce is implemented in three phases. Phase 1 connects to the ERP and ingests master data, taking 2 to 4 weeks. Phase 2 trains AI agents on customer-specific patterns, taking 2 to 6 weeks. Phase 3 expands coverage across channels and transaction types over the following months. Total time-to-value averages 8 to 14 weeks.

Implementation in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Phased rollout: Channel-by-channel deployment, starting with highest-volume channel.
Channel adapter: The connector for each input type (email, EDI, portal, etc.).
Pilot scope: The narrow first slice used to validate before scaling.
Country rollout: Adding a new geography on top of the same agent.
Go-live: The point when the channel begins running autonomously.

Proof points

Danfoss onboards new countries in 1 day instead of months.
18 percent quote-to-order win rate uplift after deployment.
99 percent first-time-right rate on autonomous orders.
Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).

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.