What is the difference between Autonomous Commerce and IDP?

Execution vs extraction

Intelligent Document Processing extracts data from documents. Autonomous Commerce extracts and executes. IDP stops at structured data output. Autonomous Commerce takes the structured data, validates against ERP master data, resolves exceptions, and posts the transaction. IDP is one component inside Autonomous Commerce, not a substitute for it.

Autonomous vs IDP in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

IDP: Intelligent Document Processing: extracts fields from documents.
Extraction: Pulling specific values out of a document.
Execution: Committing the transaction in the ERP after extraction.
ERP context: Master data and pricing knowledge needed to validate extracted values.
End-to-end: From inbound document to posted, confirmed order.

Proof points

Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).
30B+ B2B transactions executed across the Go Autonomous customer base.
Danfoss processes orders in under 1 minute across 26 countries.
18 percent quote-to-order win rate uplift after deployment.

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 IDP 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.