SAP Readiness Assessment: Interactive Planning Framework

Decision context

SAP readiness assessment is a critical step in preparing SAP landscapes for modernization initiatives such as SAP S/4HANA migration or major upgrades. It involves collecting and analyzing comprehensive evidence from SAP systems to identify compatibility issues, unsupported custom code, data quality concerns, and process bottlenecks that could impact the transformation.

Traditional readiness checks often rely on SAP-provided tools that focus primarily on system metrics and simplification items but may lack integration with custom code, process variants, and data dependencies. A governed, evidence-centric approach enhances visibility into unsupported inputs, inferred dependencies, and remediation options, providing actionable insights for decision-making.

Adranum’s SAP readiness assessment capability ingests authorized SAP readiness data, ABAP code analysis, process event logs, and data quality evidence. It supports mapping dependencies, proposing remediation or retirement of components, and generating reviewable implementation packages. This approach enables precise risk identification and coordinated cutover planning to ensure transformation success.

Integrating Diverse SAP Evidence Sources

Effective SAP readiness assessment requires ingesting multiple evidence types from SAP systems. This includes SAP readiness and ATC (ABAP Test Cockpit) results, ABAP and DDIC code analysis, abapGit repository states, process event logs, requirement specifications, and data quality reports. Combining these inputs provides a holistic view of system health and modernization challenges.

Adranum’s platform consolidates these authorized inputs, highlighting coverage gaps and unsupported elements. This comprehensive ingestion enables detection of hidden dependencies and unsupported customizations that traditional checks might overlook, ensuring no critical issues remain hidden before migration.

• SAP readiness and ATC scan results
• ABAP and DDIC code metrics and anomalies
• abapGit source control snapshots
• Process event and variant logs
• Data quality and connector evidence

Mapping Dependencies and Decision Support

Understanding dependencies between code, data, and processes is essential to plan remediation or replacement strategies. Adranum infers and maps these dependencies, enabling informed decisions to keep, remediate, replace, or retire SAP components.

This mapping supports impact analysis for proposed changes and helps prioritize remediation efforts. It also generates reviewable proposals for code and data changes, facilitating stakeholder approvals and reducing risk of unintended side effects during modernization.

• Observed and inferred dependency graphs
• Impact analysis for change proposals
• Keep/replace/remediate/retire decision frameworks
• Reviewable code and data change proposals

Generating Implementation Packages and Test Impact

After assessment and decision-making, Adranum creates content-addressed implementation packages that bundle proposed code and data changes with impacted test cases. This packaging supports traceability and reproducibility during deployment.

The platform records human approvals and coordinates cutover activities, reconciliation, and exact-state recovery. This ensures that modernization steps are executed with governance and auditability, minimizing downtime and errors in production environments.

• Content-addressed implementation bundles
• Impacted test case identification
• Approval recording and audit trails
• Cutover and reconciliation coordination

Customer-Controlled Data and Security Boundaries

Adranum enables signed customer operators to retain raw service data, source code, and credentials within their own infrastructure. Only bounded commands, hashes, aggregate outcomes, and reconciliation evidence are returned externally.

This architecture respects customer data sovereignty and security policies, reducing risk exposure during readiness assessment and modernization activities. It also supports compliance with internal governance and audit requirements.

• Data and source retention inside customer infrastructure
• Return of bounded commands and hashes only
• Aggregate outcomes and reconciliation evidence
• Compliance with customer security policies

Process Variant Analysis and Continuous Improvement

Beyond static code and data analysis, Adranum supports observed process variant detection and bottleneck identification through process event evidence. Immutable simulations allow testing of proposed changes without impacting production.

Improvement history tracking documents remediation progress and supports continuous optimization of SAP landscapes post-assessment. This operational insight helps organizations evolve their SAP environments efficiently over time.

• Observed process variant detection
• Bottleneck and performance analysis
• Immutable simulation environments
• Remediation and improvement history tracking

What the workflow must cover

• Multi-Source Evidence Ingestion. Adranum ingests authorized SAP readiness, ATC, ABAP, DDIC, abapGit, process-event, requirement, data-quality, and connector evidence to provide a comprehensive assessment.
• Dependency Mapping and Impact Analysis. The platform maps observed and inferred dependencies to support keep, replace, remediate, or retire decisions with clear impact visualization.
• Proposal Generation and Review. Adranum creates reviewable code and data change proposals, enabling stakeholder collaboration and informed approval workflows.
• Implementation Package Creation. Generates content-addressed implementation packages bundling code, data changes, and impacted tests for traceable deployment.
• Governed Cutover and Reconciliation. Coordinates cutover, reconciliation, continuity, and exact-state recovery with recorded human approvals to ensure controlled modernization steps.
• Customer Data Sovereignty. Allows retention of raw service data, source, and credentials inside customer infrastructure, returning only bounded commands and aggregate evidence externally.

Implementation workflow

Start with a bounded customer scenario and explicit acceptance criteria. Preserve native SAP permissions and accountable review while the software creates a repeatable evidence chain.

1. Collect authorized SAP readiness and ATC scan results from source systems.
2. Ingest ABAP, DDIC, and abapGit source code snapshots for static analysis.
3. Import process event logs and data quality reports to detect variants and bottlenecks.
4. Map dependencies and infer relationships between code, data, and processes.
5. Generate keep/replace/remediate/retire proposals with impact analysis.
6. Create reviewable implementation packages and identify impacted test cases.
7. Record stakeholder approvals and coordinate cutover, reconciliation, and recovery activities.

Evidence to require

A transformation claim should resolve to observable artifacts, decisions, and execution receipts. Ask for the following evidence in a representative evaluation:

• SAP Readiness Check reports
• ABAP Test Cockpit (ATC) scan results
• ABAP and DDIC source code metrics and anomalies
• abapGit repository snapshots
• Process event logs and variant analyses
• Data quality and connector evidence reports
• Dependency and impact analysis graphs
• Reviewable code and data change proposals
• Implementation package manifests and hashes
• Cutover and reconciliation audit trails

Boundaries and non-claims

Adranum separates analysis, proposal, human review, package creation, customer-local validation, and production execution. A later state never rewrites the evidence that supported an earlier decision.

• Does not replace SAP licensing or Basis administration responsibilities.
• Generated code proposals require customer-controlled compilation and runtime validation.
• Missing or incomplete inputs remain visible and may limit assessment completeness.
• Not a substitute for specialist testing products in all scenarios.

Public comparison sources

Competitor statements are limited to current public materials. Verify them during procurement because products and packaging change.

• SAP Readiness Check
• Understanding SAP Readiness Check and Simplification ...
• SAP S/4 HANA Readiness Assessment
• SAP Readiness Check
• Top reasons why SAP S/4HANA readiness assessment is ...

Buyer checklist

• Which SAP readiness and quality evidence sources are supported?
• How does the tool handle unsupported or missing inputs?
• What dependency mapping methods are used for impact analysis?
• Can generated proposals be customized before deployment?
• How are approvals and audit trails recorded and maintained?
• What security measures protect customer data and credentials?
• Does the platform support process variant and bottleneck analysis?
• How does the tool coordinate cutover and exact-state recovery?