How does an Autonomous Commerce pilot work?

Pilot structure

An Autonomous Commerce pilot starts with one customer or one channel, processes 4 to 8 weeks of live orders, and measures autonomy rate, exception rate, and capacity released. Pilots establish baseline metrics and prove ROI before scale. Most pilots expand to full production within 12 weeks of go-live.

Implementation: pilot in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Pilot: A bounded, time-boxed first deployment to prove value.
Pilot scope: The narrow channel or transaction type chosen for the pilot.
Success criteria: Pre-agreed metrics to evaluate the pilot outcome.
Go/no-go: The decision point at the end of the pilot.
Production handover: Transition from pilot to scaled production deployment.

Proof points

Danfoss onboards new countries in 1 day instead of months.
60 percent throughput per employee gain on autonomous channels.
99 percent first-time-right rate on autonomous orders.
43 percent capacity released across order processing teams.

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.