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What is the difference between Autonomous Commerce and RPA?
Reasoning vs scripted clicks
Autonomous Commerce uses AI agents that make decisions on unstructured inputs. RPA uses scripts that mimic clicks on structured UIs. RPA breaks on format change. Autonomous Commerce adapts. RPA handles 30 to 50 percent of B2B order volume. Autonomous Commerce handles 80 to 95 percent through AI agent decision capability.
Autonomous vs RPA in depth
Key terms
- AI agent
- Software that reasons over unstructured input and decides actions.
- RPA bot
- Scripted UI replay tool that handles structured screens only.
- Coverage
- Share of total volume each approach actually handles.
- Brittleness
- RPA’s failure mode when UI or input format changes.
- ROI scaling
- How returns grow (or plateau) as volume scales.
Proof points
- 60 percent throughput per employee gain on autonomous channels.
- 99 percent first-time-right rate on autonomous orders.
- 18 percent quote-to-order win rate uplift after deployment.
- 30B+ B2B transactions executed across the Go Autonomous customer base.
Frequently asked questions
When is Autonomous the right fit?
Choose this side for narrow, well-defined work where inputs are structured and the rules are stable. It scales linearly with volume and breaks when inputs drift outside the script.
When is RPA the right fit?
Choose this side for work with unstructured input, exceptions, and decisions. It scales with data and feedback rather than with people, which is why it outperforms once volume and variance rise.
Can both approaches coexist?
Yes. Many manufacturers run both during the transition. The structured path keeps running on the older approach while the long tail moves to AI agents. Plan a 12-month convergence.
Autonomous vs RPA in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
Autonomous vs RPA in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
