SAP AI Agent · PM · PP · Maintenance Configurable
Design scenario · how the agent is configured to work
Why it matters
Requests arrive by email and phone, and planners key them into SAP later. Work orders are scheduled without seeing the production plan, so machines go down at the worst time or maintenance is pushed until something breaks.
How it works
The same four steps as every Artificio agent. The agent does the research and the paperwork; your teams make the decisions.
Reads requests from email, forms and photos.
Proposes the notification and work order.
Finds the best time in the production plan.
Creates and releases once both planners approve.
Worked example
A line supervisor reports a leaking press. Here is what the agent prepares.
The leak is slow, the press is running and the photo shows no oil on the floor guard. Work within three days is advised, by your priority rules.
| Window | Production impact | Why |
|---|---|---|
| Tue 3 Nov, 06:00 | Stops order 1000540 | Customer order due 6 Nov |
| Wed 4 Nov, 14:00 | None | Planned changeover, 4 hours |
| Thu 5 Nov, 22:00 | Night shift idle | Needs overtime for technicians |
| Recommended | Wed 4 Nov, 14:00 | No lost output; within 3 days |
| Parts | Reserved on release | Seal kit in stock |
The work order is released only after both the maintenance and production planners agree on the window.
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 S. Patel (Maintenance planner) and L. Brooks (Production planner) to approve Wed 4 Nov 14:00, asked Mon 2 Nov at 10:22.
Once both approve, the notification and work order are created, the seal kit is reserved and technicians are notified.
| Step | Owner | Status |
|---|---|---|
| Plan work order | Agent | Done |
| Approve · maintenance | S. Patel | Waiting |
| Approve · production | L. Brooks | Waiting |
| Create and release | Agent | On hold |
Schedule the hydraulic seal replacement on PRESS-02 for Wed 4 Nov, 14:00, during the planned changeover, with task list HYD-SEAL and seal kit SK-HYD-220?
Illustration of how this agent's cases appear on the Artificio platform · names and values are fictional
Capabilities
Every request planned, scheduled and ready before work starts.
Ownership
You map plants and lines to planners. Both must agree on the window, and anything unassigned goes to the maintenance manager.
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 creating notifications for routine requests on known equipment, 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.
| Requests | Email, forms and photos |
|---|---|
| Equipment | Equipment, functional locations and history |
| Task lists | Operations, hours and parts |
| Production plan | Orders and capacity on each line |
| Notifications | Created from requests |
|---|---|
| Work orders | Created and released after approval |
| Reservations | Parts reserved on release |
| 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 equipment, request channels, priority rules and approvers.
Plan real requests in shadow mode: the agent proposes, planners schedule.
Review the four measures, then add lines and approved automatic notifications.
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 maintenance requests and planning with our team, and see how a similar agent works on the Artificio platform.
Request DemoScope a pilot on one line and its maintenance requests in your SAP QA or sandbox system, with the four measures agreed up front.
Discuss an SAP pilot
