SAP AI Agent · AMS · ServiceNow · Jira Configurable
Design scenario · how the agent is configured to work
Why it matters
Most of the time on an SAP ticket goes into reproducing the issue, digging through logs and transactions, and finding who owns it. After go-live, ticket volume spikes just as the project team leaves.
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 ServiceNow, Jira or a support mailbox, including attachments and screenshots.
Checks the logs and documents that matter for this kind of issue.
Writes a diagnosis with the evidence and a proposed fix.
Updates the ticket and carries out approved fixes.
Worked example
A warehouse supervisor raises a ticket: goods issues from EWM aren't posting. Here is what the agent finds before a consultant opens SAP.
Queue entries from EWM to ERP are failing in SMQ2 because posting period 011/2026 is not open. The materials period was closed early for month-end.
| Check | Finding | Why |
|---|---|---|
| SMQ2 inbound queues | 46 entries in error | All with the same posting-period message |
| Posting period | 011 closed for 1000 | Closed on 1 Nov for month-end |
| Duplicate risk | None posted | No goods issue documents exist for these deliveries |
| Similar tickets | 3 last month-end | Same cause, fixed by reopening the period |
| Proposed fix | Reopen, then reprocess | Finance reopens the period first; then queues are reprocessed once |
Queues are reprocessed only after the period is open and the duplicate check is repeated. Nothing is retried while the cause is still there.
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 R. Okoye (Finance controller) to reopen posting period 011 for company code 1000, asked Mon 2 Nov at 07:31.
Once the period is open, the support lead approves reprocessing. The ticket is updated at each step.
| Step | Owner | Status |
|---|---|---|
| Diagnosis written to ticket | Agent | Done |
| Reopen posting period | R. Okoye · Finance | Waiting |
| Reprocess 46 queue entries | Support lead | On hold |
| Verify and close ticket | Agent | Scheduled |
Can materials posting period 011/2026 be reopened for company code 1000 so 46 goods issues from EWM can post? Once you confirm it's open, the queues are reprocessed after the support lead approves.
Illustration of how this agent's cases appear on the Artificio platform · names and values are fictional
Capabilities
Every ticket gets the same investigation, whoever picks it up and whenever it arrives.
Ownership
You map SAP areas to support teams. Whoever answers first decides, and anything unassigned goes to the support 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 reprocessing a known queue error after the cause is fixed and duplicates are ruled out, 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.
| Tickets | ServiceNow, Jira or a support mailbox |
|---|---|
| Jobs and dumps | Background jobs and short dumps |
| Integration | qRFC queues and IDoc status |
| Security | Authorization traces and user data |
| Tickets | Diagnosis, evidence and status written back |
|---|---|
| SAP fixes | Only approved fixes, through supported interfaces |
| Knowledge | Cause and fix stored for similar tickets |
| Responses | Every SAP response recorded on the case |
ScopeTicket intake and updates work by email, or by API where your ServiceNow or Jira setup allows; this is agreed in discovery. The SAP logs and objects the agent may read, and the fixes it may run, are confirmed for your SAP release and deployment.
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 ticket sources, SAP areas, support teams and approvals.
Run real tickets in shadow mode: the agent diagnoses, your team fixes.
Review the four measures, then add areas, specialist agents and approved fixes.
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 SAP support process and recurring tickets with our team, and see how a similar agent works on the Artificio platform.
Request DemoScope a pilot on one SAP area and your top recurring tickets in your SAP QA or sandbox system, with the four measures agreed up front.
Discuss an SAP pilot
