Assigned reviewers
Decisions go to named owners or authorized teams, with reminders, and every email links back to the case.
SAP AI Agent · PP · CO · Order close Configurable
Design scenario · how the agent is configured to work
Why it matters
Production orders finish on the shop floor but stay open in SAP. WIP sits on the balance sheet, variances don't settle, and someone has to check hundreds of orders by hand before every close.
How it works
The same four steps as every Artificio agent. The agent does the research and the paperwork; your teams make the decisions.
Reviews released and partly delivered orders on a schedule or before close.
Checks what still has to happen before the order can close.
Sends each blocker to the person who can clear it.
Sets TECO in bulk for the approved orders and checks the result.
Worked example
Three days before close, the controller needs to know which orders can be closed. Here is what the agent finds.
Two backflushed goods issues for RM-40021 failed on missing batch input. TECO now would leave the material cost off the order, so the order waits until COGI is cleared.
| Group | Orders | Why |
|---|---|---|
| Ready to close | 162 | Fully delivered, final confirmation, no open items |
| Open COGI items | 31 | Goods issues failed and not yet posted |
| Open reservations | 14 | Components never issued; planner to confirm |
| Partly delivered | 7 | Planner confirms whether the rest will be produced |
| Recent activity | 0 proposed | Orders with movements in the last 10 days are left alone |
Only orders with no open items are proposed for TECO. Blocked orders are proposed again once their blocker is cleared.
Design scenario · 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 M. Patel (Production controller) to approve TECO for 162 orders, asked Mon 2 Nov at 06:40.
Once approved, TECO is set and each order's status is checked. The 52 blocked orders stay with their owners.
| Step | Owner | Status |
|---|---|---|
| Checks on 214 orders | Agent | Done |
| Clear 31 COGI items | Shop floor lead | Waiting |
| Confirm 7 partial orders | MRP controller | Waiting |
| TECO 162 orders | M. Patel · Controller | On hold |
162 orders in plant 1000 are fully delivered, finally confirmed and have no open reservations or COGI items. Set TECO on all 162 so variances can settle in October?
Illustration of how this agent's cases appear on the Artificio platform · names and values are fictional
Capabilities
Every open order gets the same checks, every period.
Ownership
You map plants and order types to owners. Whoever answers first decides, and anything unassigned goes to the production controller.
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 setting TECO on orders that are fully delivered, finally confirmed and inactive for 30 days, 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.
| Production orders | Status, quantities and dates |
|---|---|
| Confirmations | Operation confirmations |
| Goods movements | Receipts, issues and COGI items |
| Reservations | Open component reservations |
| TECO status | Set on approved orders only |
|---|---|
| Blocker routing | Items sent to their owners |
| Reports | Period close list for the controller |
| Responses | Every SAP response recorded on the case |
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 the plants, order types, inactivity rules and approvers.
Run before one close in shadow mode: the agent proposes, your controller sets TECO.
Review the four measures, then add plants and approved automatic TECO rules.
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
Talk through your production order close process with our team, and see how a similar agent works on the Artificio platform.
Request DemoScope a pilot on one plant and one period close in your SAP QA or sandbox system, with the four measures agreed up front.
Discuss an SAP pilot