How is autonomy measured and reported?

How autonomy is measured

Autonomy is measured as the percentage of transactions executed by AI agents without human intervention. Reporting separates autonomy by channel (email, EDI, PDF, portal), by transaction type (order, quote, claim), and by exception category. Mature dashboards show daily autonomy trends, exception breakdowns, and capacity released by transaction type.

How autonomy is measured in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Autonomy rate: Share processed end-to-end without human touch.
First-time-right rate: Share correct on the first pass.
Exception rate: Share that falls out of the touchless path.
Cost per order: Fully loaded cost to process one order.
Cycle time: Wall-clock time from inbound input to posted order.

Proof points

60 percent throughput per employee gain on autonomous channels.
18 percent quote-to-order win rate uplift after deployment.
43 percent capacity released across order processing teams.
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.