Five workflows. One engineering discipline.
Practical AI assistance for complex SAP work. Explore the problem, the proposed workflow and the evidence a POC should produce.
SAP Agentic AI Landscape Assessment
The business problem
System inventories, custom code and integration knowledge often sit across disconnected sources. That makes it difficult to decide where automation will help.
Our engineering approach
Assessment agents are designed to structure authorized system inventories, examine custom code and integration metadata, and assemble a traceable view of dependencies and opportunities.
- Landscape discovery and technical inventories
- Custom code and integration dependency analysis
- Automation opportunities and assessment reporting
- 01Authorize scope
- 02Discover inventory
- 03Map dependencies
- 04Assess opportunities
- 05Review findings
A more structured assessment and an evidence-led shortlist of modernization opportunities for your technical team to evaluate.
Coverage depends on source quality, access and supported SAP interfaces. Findings need validation by SAP specialists; this is not a replacement for a full architecture or security assessment.
Discuss a scoped feasibility assessment. Availability and supported systems are confirmed during discovery.
Discuss a POCAutomated AI Agentic ABAP Code Remediation
The business problem
Remediating custom ABAP requires understanding both technical findings and business behavior. Repetitive corrections can consume the time needed for complex issues.
Our engineering approach
Specialized agents are designed to interpret findings, propose targeted ABAP changes and coordinate validation. Developers retain ownership of code review, testing and transport decisions.
- Static-analysis finding interpretation
- Context-aware remediation proposals
- Syntax, activation and regression validation workflows
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- 01Read findings
- 02Analyze context
- 03Propose changes
- 04Check syntax
- 05Review and test
A consistent starting point for remediation, with proposed changes and supporting evidence collected for developer review.
Generated code can be incorrect. Syntax checks alone do not establish functional equivalence. Activation, regression testing and approved transports remain essential.
Discuss a representative set of findings to assess suitability before agreeing a pilot.
Discuss a POCSAP Agentic AI Automated Testing
The business problem
SAP changes can affect connected business processes. Repetitive test execution and fragmented evidence make release assessment harder.
Our engineering approach
Our testing work explores AI-assisted test-case generation, execution orchestration, evidence collection and failure analysis. Business owners review important outcomes before release decisions.
- Test generation and regression orchestration
- Evidence capture and failure investigation
- Reporting with review of critical results
Purchase-to-pay
- 01Define cases
- 02Queue execution
- 03Run workflow
- 04Validate evidence
- 05Review results
More repeatable test coordination and a clearer evidence trail for assessing changes in the agreed test scope.
Coverage is bounded by the test design, access, test data and automation compatibility. A completed run does not prove an entire business process is defect-free.
Discuss a controlled POC. System access, representative test data and acceptance criteria must be agreed first.
Discuss a POCAI-Assisted Smart Forms to Adobe Forms Migration
The business problem
A Smart Form contains more than its visible layout. Interfaces, conditions, text, calculations, fonts and output behavior all affect the migration.
Our engineering approach
Migration agents assist with structure extraction, analysis, interface and layout generation. SAP validation and output comparison provide the evidence needed for a human approval decision.
- Smart Form discovery and structure extraction
- Adobe interface and layout generation
- SAP validation, PDF comparison and human review
Purchase order
Purchase order
- 01Discover Smart Forms
- 02Extract metadata
- 03Analyze structure
- 04Generate Adobe layout
- 05Validate in SAP
- 06Compare outputs
- 07Human approval
A structured migration workflow that helps teams identify differences and focus review on layout, data and business logic.
Not every form can be converted automatically. ADS configuration, fonts, barcodes, translations and custom logic may require specialist intervention. No one-click or pixel-identical guarantee is made.
Discuss a selected-form POC using source definitions, interfaces and representative outputs. Scope and acceptance criteria are agreed before execution.
Discuss a POCSAP Agentic AI Performance Optimization (HANA)
The business problem
A slow query may reflect execution plans, data volume, contention or application behavior. Recommendations need the context of the workload.
Our engineering approach
Performance agents are designed to examine authorized SQL and workload evidence, identify possible bottlenecks and prepare recommendations for controlled testing.
- SQL and query-pattern analysis
- Bottleneck investigation and recommendations
- Human-approved optimization validation
Synthetic index values, not measured results or a forecast. Test recommendations against a representative workload before approval.
- 01Observe workload
- 02Analyze SQL
- 03Locate bottlenecks
- 04Recommend changes
- 05Validate and approve
A more organized investigation, with traceable hypotheses and a validation plan for each proposed improvement.
Performance gains are workload-specific and cannot be guaranteed. Changes require representative benchmarking and human approval; agents should not make uncontrolled production changes.
Discuss a feasibility review using permitted, sanitized performance evidence.
Discuss a POC