How do AI agents validate against ERP master data?

How AI validates ERP data

AI agents validate against ERP master data by querying customer, product, pricing, and inventory records in real time. Validation checks customer entitlements, SKU availability, contract pricing, and credit limits. Failed validations route to exception resolution. Successful validations proceed to ERP posting. Validation runs in milliseconds per transaction line.

Validation in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Match candidate: A possible master data record matching the extracted entity.
Match confidence: Score of how certain the match is.
Customer master: Authoritative customer record.
Material master: Authoritative product record.
Pricing master: Authoritative contract prices and conditions.

Proof points

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