Can Autonomous Commerce work with legacy ERP systems?

Can it work with legacy systems: definition and operational impact for B2B manufacturers

Autonomous Commerce works with legacy ERP systems including SAP ECC, older Microsoft Dynamics versions, IFS, Infor, and custom platforms. Integration uses native interfaces (BAPIs, IDocs, RFC) or generic APIs. AI agents do not require ERP modernization. Manufacturers deploy Autonomous Commerce on legacy ERPs and modernize separately on their own timeline.

Can it work with legacy systems in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

AI agent: Software that perceives inputs, makes decisions, and executes actions to achieve a goal without step-by-step human instruction.
Autonomy rate: Share of transactions executed without human touch.
FTR: First-Time-Right rate, the share of transactions correct on the first pass.
Touchless processing: Processing in which transactions complete with no human action.
Exception handling: The routing of ambiguous transactions to automated resolution or human review per policy.

Proof points

Orders processed in under 60 seconds end-to-end (Go Autonomous benchmark).
18 percent quote-to-order win rate uplift after deployment.
43 percent capacity released across order processing teams.
60 percent throughput per employee gain on autonomous channels.
99 percent first-time-right rate on autonomous orders.
Danfoss processes orders in under 1 minute across 26 countries.
30B+ B2B transactions executed across the Go Autonomous customer base.

Frequently asked questions

How does can it work with legacy systems work in B2B commerce?

[REVIEW] Can it work with legacy systems works by combining intake, decisioning, and ERP write-back. AI agents read inputs, validate against master data, and execute the transaction. Refine this answer with the specific mechanics for your audience.

Why does can it work with legacy systems matter for manufacturers?

[REVIEW] Can it work with legacy systems matters because manual handling caps throughput and introduces errors. Autonomous execution releases capacity, lifts FTR to 99 percent, and reduces cost per order by 60 to 80 percent.

What is the ROI of can it work with legacy systems?

[REVIEW] ROI comes from capacity released, throughput per employee, and FTR lift. Customer benchmarks include 43 percent capacity released and 60 percent throughput per employee. Refine with metric-specific examples.