Topic grouping
The AI reads custom developments and clusters them by business purpose — such as finance, logistics or reporting — rather than by technical naming scheme.
Custom Code Analysis
Custom developments, finally transparent
Grown SAP systems carry hundreds, often thousands of Z-programs — and little of it is documented. Conjola analyzes your custom developments with AI, groups them by topic and maps them to your business themes. An unmanageable list becomes a structured map.
What the AI analysis delivers
Raw custom code becomes a topically ordered view — automatically, not by manual review.
Mapping to themes
Each custom development is mapped to your business theme groups. You see where custom code really sits and what it serves.
Redundancies & risks
Repeatedly solved problems, orphaned reports and critical special logic become visible — the basis for cleanup and assessment before migration.
How the analysis is built
From extraction to finished grouping — no manual pre-categorization.
Extract
Your custom developments come in via the standardized import — no direct system access needed.
AI analysis
The AI infers the purpose and context of each development from code and metadata.
Grouping
Similar developments are consolidated into topical clusters.
Mapping
Each cluster is mapped to your business themes and made visible in the platform.
Why this matters for your transformation
Custom code is the most expensive blind spot of any S/4 or cloud migration.
Quantify migration risk
Only once it's clear what your custom developments do can you decide what stays, gets replaced or is dropped.
Effort, not gut feeling
A topical map makes custom-code sprawl estimable — instead of discovering it as a late-project surprise.
Ready to understand your SAP landscape?
In a short demo we'll show you how Conjola turns your document data into a basis for decisions.
Book a demo