Common SAP support problems
Most support contracts measure how fast tickets are touched, not whether the system gets better. That is where cost and frustration build up.
Support that fixes causes, not only tickets. Our AMS team handles incidents, changes and Basis work for S/4HANA and ECC, then uses AI agents to find repeat incidents, draft fixes and keep documentation current, so the queue gets shorter over time. Senior engineers review every change before it moves to production.
Key highlights
Most support contracts measure how fast tickets are touched, not whether the system gets better. That is where cost and frustration build up.
Pick the levels and modules you need. Most clients start with L2 and L3 alongside an internal L1 desk.
L1 triage and user help, L2 functional analysis and configuration fixes across FI/CO, MM, SD, PP, PM, QM and EWM, and L3 ABAP, interface and performance fixes.
Prioritised incident handling with escalation paths, then problem management on repeat incidents, with AI assisted clustering to find the underlying cause.
Small enhancements, reports and configuration changes estimated, approved, built, tested and transported through your change process with a full audit trail.
User and role administration, transport management, system copies and refreshes, kernel and support package updates, client administration, backup checks and SAP Note implementation.
Proactive monitoring of background jobs, IDocs, interfaces, short dumps and system health in SAP Cloud ALM, SAP Solution Manager or your monitoring tool, with alerts before users notice.
Planned support package, feature pack and release upgrades backed by automated regression tests, plus a monthly improvement backlog to retire workarounds and reduce ticket volume.
Review of ticket history, landscape, interfaces, open changes and documentation. Output: scope, SLA proposal and a transition plan.
Knowledge transfer from your team or current supplier with shadow and reverse shadow periods. Runbooks and system documentation written as we learn.
Ticket handling under the agreed SLA, monthly service reviews on response, resolution, backlog age and repeat incidents.
Root causes fixed, regression tests added for critical processes, and upgrades planned so the system stays current and the ticket count falls.
Support teams hold privileged access to production. We treat that access as a control to be audited, not a convenience.
Production access is limited and logged. Consultants use named accounts with roles you approve. Emergency or firefighter access is requested per incident, logged and reviewed, in line with your segregation of duties rules.
Every change is traceable. Each transport links to a ticket, a test result and an approver, so internal and external auditors can follow a change from request to production.
AI never touches production data. AI agents work on code, logs that have been scrubbed of personal data, and documentation. They do not hold production credentials and business data is not sent to external AI services.
SAP releases you already run, with your ticketing tool or ours, and SAP standard tools for monitoring and transport.
Share your landscape and ticket volume. Written scope and SLA proposal within 48 hours.