Stage 5
Post-Go-Live Operations
The SI Exits. The Work Begins.
The governance is done. The build is complete. Go-live happened. The SI is exiting hypercare. And your team is now operating a platform they've never run in production: HANA database administration, Fiori launchpad management, OData services, BTP Integration Suite, quarterly feature packs. 70% of ERP defects surface in the first 30 days post-go-live. We embed before the SI exits — so there's no gap between hypercare and steady-state operations.
S/4HANA operations are not ECC operations with a new interface. The administrative model is fundamentally different. The organizations that treat this as a staffing problem to solve after hypercare ends are the ones that generate eight-figure stabilization costs. The organizations that treat it as a structural decision — made before the SI exits — build on a stable foundation.
Recognition Pattern
You're here if…
- S/4HANA is live and the SI hypercare team is beginning to reduce — Day 30 drawdown, Day 60–90 exit — and your internal team is not yet operationally self-sufficient on the new platform.
- You are approaching the hypercare exit and no operations provider is in place, or the provider that was contracted doesn't know your specific customizations, integration design decisions, or the workarounds introduced during UAT.
- Performance issues that were not present during testing are surfacing under full production load — batch job runtimes doubling, Fiori apps slow, HANA memory pressure emerging.
- 70% of ERP defects surface in the first 30 days post-go-live; you're in that window and the ticket volume is exceeding what the remaining SI team can absorb.
- Your users are working in a mixed SAP GUI and Fiori environment — 54% of organizations are — and neither interface is fully configured or supported.
- Integration errors between S/4HANA and third-party systems are accumulating silently because no monitoring was established at go-live.
- Master data quality issues — material master errors, Business Partner mismatches, GR/IR variances — are creating downstream problems that users are absorbing through workarounds rather than reporting.
- The SI handed over a system that "passed UAT" and is now discovering that production load, real data volume, and real user behavior produce failure patterns that UAT never exposed.
Risk Assessment
What's at risk
The SI hypercare period follows a predictable arc. Day 30: team reduction begins. Day 60–90: formal handover to the client's internal team or a contracted operations provider. The SI's obligation ends at the hypercare exit date. The client's obligation to operate a functioning S/4HANA environment does not.
The post-hypercare gap is well-documented and consistently underestimated. The SI has exited. The internal team — which spent the last 18–36 months staffing the migration build — is not yet operationally self-sufficient in S/4HANA's administrative model. The first 90 days post-go-live surface 70% of all ERP defects. HANA memory pressure emerges when real transaction volumes hit the column store. Background jobs that ran in 4 hours during testing run in 8+ hours under full data volume. Fiori apps with CDS views that weren't optimized for analytical load create full table scans. RFC call volumes under combined production traffic exceed the thresholds tested in isolation.
S/4HANA operations are not ECC operations with a new interface. The administrative model is fundamentally different. HANA database administration did not exist in ECC on Oracle or SQL Server. Fiori launchpad administration is an entirely new discipline. SAP releases quarterly feature packs and monthly patches for S/4HANA; each requires regression testing, compatibility validation, and controlled deployment. National Grid's post-go-live stabilization cost $585M and required 850 contractors at $30M per month for over two years. These are the consequences of a go-live without a capable steady-state operations model in place from Day 1 of hypercare.
What We Deliver
S/4HANA Run-State Operations
S/4HANA Basis Administration
Full application server and HANA database administration — a new discipline that did not exist in ECC environments on Oracle or SQL Server. HANA memory management: global_allocation_limit parameter monitoring, statement memory limit configuration to prevent runaway queries from crashing the database, column store analysis, tenant database administration in multi-tenant MDC deployments. System replication configuration and monitoring for HA/DR. Not retrofitted ECC Basis coverage. Purpose-built S/4HANA Basis operations.
SAP Fiori Launchpad Administration
Catalog and group maintenance for role-based tile visibility. OData service activation and troubleshooting — every Fiori app depends on at least one OData service that must be activated, tested, and maintained. Web Dispatcher configuration for reverse proxy and load balancing. CDS view performance monitoring and optimization as data volumes grow post-go-live.
Transport Governance for S/4HANA
The same DEV→QAS→PRD pipeline from ECC, but with a materially different governance model. Clean core enforcement: changes that should go into BTP extensions rather than S/4HANA core are identified and redirected before they create technical debt. Regression testing governance on quarterly feature packs and monthly patch cycles — not ad hoc. Transport governance that scales with the S/4HANA release cadence.
Embedded Analytics Support
S/4HANA replaces the separate BW/BI reporting stack with embedded analytics via CDS views and the Universal Journal. CDS view maintenance and performance optimization as data volumes grow and usage patterns evolve post-go-live. SAP Analytics Cloud integration: live connection administration, trust configuration, OData service exposure. Virtual data model management.
Integration Monitoring
The S/4HANA integration surface area is larger than ECC's. OData REST APIs, BTP Integration Suite, and legacy iDoc and RFC all coexist. None of them self-monitor. RFC call volumes under combined production traffic must be actively monitored. BTP Integration Suite error queues require active management. Third-party system connections monitored end-to-end, not at the S/4HANA boundary only.
Release Management and Update Governance
SAP S/4HANA Cloud releases quarterly feature packs and monthly security patches. On-premise receives biannual feature releases and monthly security notes. Each release cycle requires compatibility analysis against the existing customization baseline, regression test scope definition and execution, transport preparation and controlled deployment, and post-deployment validation. We own the release cadence. The environment does not drift.
Engagement Structure
How it works
Phase 1 — Days 1–30: Hypercare Overlap
We are embedded concurrent with the SI hypercare team. We observe the SI's handover procedures, validate the knowledge artifacts being transferred, and begin establishing independent monitoring coverage. This is the highest-defect-density window — 70% of ERP defects surface here. We are operational before the SI exits.
Phase 2 — Days 31–60: Transition Assumption
SI hypercare team reduces. Allari takes increasing ownership of the operational queue. HANA monitoring established. Fiori launchpad administration handed over. Integration monitoring active. Release management schedule defined for the first quarterly patch cycle.
Phase 3 — Day 61+: Full Operational Custody
Complete S/4HANA run-state custody. Daily Basis operations, HANA administration, Fiori administration, transport governance, integration monitoring, release management — all of it under Allari ownership with full OpenBook™ transparency.
Phase 4 — Sustained Operations
Ongoing root-cause elimination. The Compression Cycle drives cost down as the environment matures. The engagement scales with the release cadence, with BTP expansion, and with the organizational growth that S/4HANA enables. Most Stage 5 engagements run 36+ months.
Field Evidence
Proof
The W.L. Gore engagement demonstrates both sides of the transition. We held full operational custody of the JD Edwards environment for five years while IBM executed the SAP migration. When the migration completed — 3,500+ users across 45+ countries, zero production disruptions, zero escalations to the build team across 26,518 service interactions — the operational model transitioned from legacy custody to new platform support.
The framing holds: we did not migrate. We provided production support while IBM migrated. At the migration's conclusion, we provided production support for the new platform. The institutional knowledge, the operational cadences, the governance structures, and the embedded relationships all transferred. No knowledge gap. No re-onboarding. No post-hypercare gap between SI exit and operational maturity.
38.4%
Capacity Recovered
9.3×
Faster Resolution
5.4 wk
Median Payback
19%
Year-1 TCO Compression
Deep Dive
Related resources
S/4HANA Operations Readiness Assessment
The 15 operational capabilities that must be in place before SI hypercare ends.
HANA Database Administration for S/4HANA
What HANA administration requires that ECC on Oracle never did.
The Post-Hypercare Gap
What happens when the SI exits before a capable operations team is in place.
S/4HANA Release Management
How quarterly feature packs and monthly security patches must be governed.
Hypercare ends. Operations don't.
We embed before the SI exits — so there's no gap between hypercare and steady-state. Start with a 30-minute assessment of your post-go-live operational readiness.