How does Autonomous Commerce scale?
How it scales
Autonomous Commerce scales horizontally across channels, transaction types, and business units. Adding a new channel like a customer portal does not require new infrastructure. AI agents trained on existing patterns transfer to new sources. Manufacturers expand from one ERP to multiple regions and from one transaction type (orders) to claims and quotes within months.
Scaling in depth
Key terms
- Horizontal scaling
- Adding volume, channels, or countries without adding headcount.
- Channel adapter
- The component that ingests each input type.
- Multi-tenant
- One agent platform serving many country or BU rollouts.
- Throughput per employee
- Volume each person handles as scale rises.
- Onboarding cost
- Days to add a new partner, channel, or country.
Proof points
- Danfoss processes orders in under 1 minute across 26 countries.
- 43 percent capacity released across order processing teams.
- 99 percent first-time-right rate on autonomous orders.
- Danfoss onboards new countries in 1 day instead of months.
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.
Scaling in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
Scaling in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
