SAP Migration Automation: Governed Evaluation Guide

Decision context

SAP migration automation addresses the complex challenge of transitioning legacy SAP ERP systems to modern SAP S/4HANA environments. This process involves not only moving data but also adapting custom ABAP code, data models, and business processes to new technical and functional paradigms. Automation platforms that ingest and analyze diverse SAP evidence sources enable more predictable, auditable, and efficient migrations.

Adranum’s approach to SAP migration automation centers on comprehensive evidence ingestion from SAP readiness checks, ATC (ABAP Test Cockpit) results, ABAP code repositories, data quality reports, and process event logs. By mapping dependencies and identifying unsupported elements, it provides a clear picture of migration scope and risk areas. This evidence-driven insight supports informed decisions on whether to keep, replace, remediate, or retire SAP components.

Unlike tools that focus solely on data transfer or code conversion, Adranum integrates governance workflows, human approvals, and exact-state recovery capabilities. It generates reviewable code and data proposals and packages implementation content with impact analysis on tests. This holistic automation framework helps SAP teams maintain control, reduce errors, and accelerate cutover activities while preserving compliance and operational continuity.

Integrating Diverse SAP Evidence for Migration Readiness

Effective SAP migration automation requires ingesting multiple evidence types to assess the current system state and migration feasibility. Adranum collects authorized SAP readiness assessments, ABAP Test Cockpit (ATC) outputs, ABAP code and dictionary metadata, and data quality metrics. This comprehensive ingestion enables visibility into unsupported code, data inconsistencies, and process variants that could affect migration.

Mapping observed and inferred dependencies between SAP objects and processes is critical to understanding the impact of changes. Adranum’s automated dependency analysis highlights tightly coupled components and potential bottlenecks, allowing teams to prioritize remediation or replacement efforts.

By reporting coverage gaps and unsupported inputs, the platform ensures no critical elements are overlooked. This transparency helps avoid surprises during migration execution and supports compliance with governance policies.

• Authorized SAP readiness and ATC results ingestion
• ABAP and DDIC metadata analysis
• Data quality and connector evidence integration
• Dependency mapping between code, data, and processes
• Unsupported inputs and coverage gap reporting

Governed Decision-Making for Component Lifecycle

Migration automation is not just about technical conversion; it involves strategic decisions on component lifecycle management. Adranum supports keep, replace, remediate, or retire choices for SAP code, data, and processes based on evidence and business priorities.

The platform generates reviewable proposals for code changes and data transformations, enabling SAP architects and business owners to assess impact before approval. Human approvals are recorded to maintain audit trails and governance compliance.

This decision framework helps balance modernization benefits with risk mitigation, ensuring that only validated changes proceed to implementation.

• Lifecycle decisions: keep, replace, remediate, retire
• Reviewable code and data change proposals
• Recorded human approval workflows
• Audit trails for governance and compliance

Content-Addressed Implementation and Impact Analysis

Adranum packages migration changes into content-addressed implementation bundles that include code, data, and test artifacts. This approach ensures traceability and reproducibility of migration steps.

The platform identifies impacted tests and generates corresponding test packages, enabling targeted regression testing to validate migration success. This reduces testing effort and focuses quality assurance on high-risk areas.

By coordinating cutover, reconciliation, and exact-state recovery activities, Adranum supports smooth transition with minimal downtime and rapid rollback capabilities if needed.

• Content-addressed implementation packages
• Impact analysis on test artifacts
• Targeted regression test generation
• Cutover coordination and reconciliation
• Exact-state recovery support

Maintaining Customer Data Sovereignty and Security

Adranum’s architecture allows 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 transmitted externally.

This design minimizes exposure of sensitive SAP system data and credentials, aligning with enterprise security policies and regulatory requirements.

By keeping critical assets in customer control, organizations reduce risk while benefiting from automation efficiencies.

• Customer-controlled raw data and credential retention
• Bounded command and hash transmission
• Aggregate outcomes and reconciliation evidence reporting
• Compliance with enterprise security policies

Process Variant and Bottleneck Analysis for Optimization

Beyond migration mechanics, Adranum analyzes observed process variants and bottlenecks from event logs to identify inefficiencies and improvement opportunities.

Immutable simulations allow teams to model migration scenarios without impacting production systems, supporting risk assessment and planning.

Historical improvement tracking documents changes over time, providing insights into migration progress and continuous optimization potential.

• Observed process variant identification
• Bottleneck detection and analysis
• Immutable migration scenario simulations
• Improvement history tracking

What the workflow must cover

• Comprehensive SAP Evidence Ingestion. Adranum ingests SAP readiness, ATC, ABAP, DDIC, data quality, and connector evidence to provide a unified view of migration scope and risks.
• Dependency Mapping and Impact Visualization. Automated mapping of code, data, and process dependencies reveals tightly coupled components and potential migration bottlenecks.
• Governed Lifecycle Decision Support. Supports keep, replace, remediate, and retire decisions with reviewable proposals and recorded human approvals for compliance.
• Content-Addressed Implementation Packaging. Generates traceable implementation bundles including code changes and impacted tests to streamline deployment and validation.
• Cutover and Recovery Coordination. Coordinates cutover activities, reconciliation, and exact-state recovery to minimize downtime and enable rapid rollback if necessary.
• Customer Data Sovereignty Assurance. Allows customers to retain raw data and credentials internally while exchanging only bounded commands and aggregate outcomes 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 SAP readiness, ATC, ABAP, DDIC, data quality, and connector evidence from source systems.
2. Analyze ingested evidence to map dependencies and identify unsupported or risky components.
3. Generate keep/replace/remediate/retire proposals for SAP code, data, and processes based on analysis.
4. Review and approve proposals through governance workflows with recorded human approvals.
5. Package approved changes into content-addressed implementation bundles including impacted tests.
6. Coordinate cutover planning, execution, and reconciliation activities with exact-state recovery options.
7. Monitor migration progress and track improvement history for continuous optimization.

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 assessment reports
• ABAP Test Cockpit (ATC) scan results
• ABAP source code and dictionary metadata
• Data quality and connector audit logs
• Process event logs capturing variants and bottlenecks
• Reviewable code and data change proposals
• Content-addressed implementation package manifests
• Test impact analysis reports
• Human approval records and audit trails
• Cutover and reconciliation activity logs

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 compilation and runtime validation before production use.
• Does not substitute specialist testing tools in all scenarios; test coverage depends on input quality.
• Does not provide official SAP certification or guarantees of migration savings or ROI.

Public comparison sources

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

• SAP S/4HANA Cloud Migration
• SAP® S/4HANA Migration Automation: Accelerate Your ...
• What is SAP Data Migration? | Best Practices, Strategy & ...
• 4 Strategies for Streamlining Your SAP S/4HANA Migration
• Solved: Data migration automation

Buyer checklist

• How does the platform ingest and validate diverse SAP evidence types?
• What governance controls exist for approving migration changes?
• How are dependencies and unsupported components identified and reported?
• Can the system generate test impact analysis and regression test packages?
• What mechanisms support cutover coordination and rollback?
• How is customer data and credential sovereignty maintained?
• What process optimization insights are available during migration?
• What are the prerequisites for integrating Adranum into existing SAP landscapes?