Assigned reviewers
Decisions go to named owners or authorized teams, with reminders, and every email links back to the case.
SAP AI Agent · SD · Order entry Demo available
Illustrative example · not a production transaction
Why it matters
Customer service re-keys POs in every format, looks up customer part numbers by hand and catches price differences only after the invoice is disputed.
How it works
The same four steps as every Artificio agent. The agent does the research and the paperwork; your teams make the decisions.
From the order mailbox or EDI: PDF, Excel, Word, email body or EDI message.
Matches the customer, ship-to, sales area and every material.
Compares price and validity with the quote or contract and simulates the order.
Creates the sales order when it checks out, or routes the difference to its owner.
Worked example
A customer emails a PO for three lines that references their contract. Here is what the agent finds before anyone opens VA01.
Sold-to 1004221 and ship-to 1004230 matched on name and address. NL-6205 and NL-SK12 found in the customer-material info; line 30 matched by description to SK-12HT.
| Line | Result | Why |
|---|---|---|
| Line 10 · price | 4.85 = contract | Matches contract 40000312, valid to 31 Dec |
| Line 20 · price | 9.60 = contract | Matches the contract |
| Line 30 · price | 18.20 vs 18.85 | 3.4% below contract; outside your 2% tolerance |
| Availability | 20 Nov · all lines | Simulation confirms full quantity on the requested date |
| Credit | No block | No credit block in the simulation |
The order is created once the sales rep accepts the customer's price or decides to confirm at the contract price.
Illustrative example · names and values are fictional and depend on your SAP configuration
Inside the platform
The case shows who it is waiting for, what happens next, what the agent checked and exactly what each person is approving.
Waiting for J. Ruiz (Sales rep) to decide on the price for line 30, asked Mon 2 Nov at 09:26.
A reminder goes out at 13:26 today. The customer asked for a confirmation within 24 hours.
| Line | Owner | Status |
|---|---|---|
| Line 10 · NL-6205 | Customer service | Checked |
| Line 20 · NL-SK12 | Customer service | Checked |
| Line 30 · SK-12HT | J. Ruiz · Sales | Waiting |
| Create order | Agent | On hold |
Line 30: the customer's price is 18.20 and the contract price is 18.85 (3.4% lower). Accept the customer's price or confirm at the contract price?
Recreation of the Artificio case screen · names and values are fictional
Capabilities
Every PO goes through the same checks, whatever the customer or format.
Ownership
You decide who handles each kind of exception. Whoever answers first decides, and anything without an owner goes to the customer service lead.
Owners, rules and tolerances are configured to your organization and agreed for each deployment.
Controlled autonomy
The agent proves itself on your real work before it writes anything to SAP. The platform measures how often your people agree with it, so you decide when to give it more room, case type by case type.
The agent proposes every action but writes nothing to SAP. Your people decide, and each answer counts toward the agreement rate.
The required owners approve. The agent acts in SAP only when the last approval lands.
For case types you explicitly configure and approve, such as repeat orders from approved customers that match their contract, the agent acts on its own and reports back.
Governed agent runtime
What makes this agent different is its configuration: its instructions, the tools it may use and the policies it works under. Reviewers, approvals, versions and audit work the same way for every agent you add.
Decisions go to named owners or authorized teams, with reminders, and every email links back to the case.
Gathering data is kept separate from changing SAP. Action tools are controlled and can require human approval before they run.
Versions can't be edited, and each case keeps the version it started with, so a change never alters work in progress.
Recreations of Artificio platform screens
What we measure
Every pilot tracks the same four measures from day one, so the business case comes from your data, not ours.
For SAP teams
The agent reads and writes data through supported SAP interfaces, without modifying standard SAP objects and without replacing your existing governance.
| Customers | Sold-to, ship-to and sales area data |
|---|---|
| Materials | Customer-material info and descriptions |
| Quotes and contracts | Prices and validity, refreshed nightly with live lookup |
| Simulation | Price, availability and credit from SAP's order simulation |
| S/4HANA | API_SALES_ORDER_SRV (OData) |
|---|---|
| ECC | BAPI_SALESORDER_CREATEFROMDAT2 |
| Schedule lines | Dates and quantities from the simulation |
| Responses | Every SAP response recorded on the case for resolution or retry |
ScopeThe exact interfaces, objects and fields in scope are confirmed for your SAP release and deployment during technical discovery. S/4HANA Cloud Public Edition is reviewed case by case, and some landscapes may need additional configuration.
Pilot approach
A focused pilot in your QA or sandbox system proves the agent on your own data before anything reaches production.
Review SAP edition, interfaces, authorizations and representative data.
Agree one sales org, a few key customers, tolerances and owners.
Run real POs in shadow mode, including new ship-tos and price differences.
Review the four measures, then add customers, formats and autonomy.
Frequently asked questions
Security & compliance
ISO 27001:2013 certified, SOC 2 Type 2 compliant, GDPR and HIPAA ready. Every agent action is logged and auditable, and SAP credentials stay in the platform's integration accounts.
See it working
See a customer PO go from the order mailbox through matching, price check and simulation to an SAP sales order, using sample data.
Request demoScope a pilot on one sales org and a few key customers in your SAP QA or sandbox system, with the four measures agreed up front.
Discuss an SAP pilot