Support that understands the operational impact behind the ticket

SLA-backed SAP application management for logistics and the wider SAP landscape, with support models sized around business criticality, peak periods, customisations and change demand.

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Models

Three support models

Dedicated team

Named consultants for complex, business-critical environments

Shared services

SLA-backed access to a specialist pool for stable or mid-size landscapes

Hybrid

Dedicated ownership for critical EWM/TM scope, shared specialists for the wider landscape

Scope

Run. Fix. Improve. Prepare.

Run: Monitoring, interfaces, scheduled jobs and operational support
Fix: Incident, problem, root-cause analysis and controlled data correction
Change: Configuration, small enhancements, integration and transport/release management
Improve: Optimisation backlog, performance tuning and process improvement
Peak readiness: Health checks, volume testing and hypercare for seasonal events
Upgrade: Regression support and release-cycle management
Knowledge: Documentation, key-user enablement and transition discipline
Governance: SLA reporting, service reviews and escalation

Take over support without losing the knowledge.

Discover → Shadow → Reverse-shadow → Steady state. Knowledge transfer is evidenced before accountability moves.

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