AI-assisted data migration.
Faster delivery, cleaner data, avoid data staging.
We bring the software and data migration expertise to automate the data migration for SAP & Non-SAP landscapes.
Legacy landscapes carry years of inconsistency, redundancy, and unmapped business logic that traditional ETL tools can't safely resolve.
Q-nnect's data platform replaces the "back-room" staging-and-scripting model with a transparent, virtualised data layer that maps source to target systems semantically, uses application business logic to write to the target system — with zero copy of data and full audit trail.
Whether you're moving to S/4HANA or rationalising a hybrid landscape, Aivelon delivers data migration with AI acceleration.
AI-Assisted Delivery
AI-enabled discovery, cleansing, mapping, and testing — cutting cost and duration significantly.
Flexible Migration Strategy
Greenfield, Brownfield, Bluefield migration, cleanse, merge — we fit the approach to your business need.
Use for Hybrid Landscapes
Not locked to one ERP. Our solutions can be used for "Any-to-Any" software migrations.
Data Integrity & Privacy
Our "Zero-copy" approach avoids storing business data externally. Native application controls strengthen data integrity.
Governance & SAP Certified
Our SAP-certified software includes validation and reconciliation ready for business and audit review.
Future AI Enablement
The semantic foundation built during migration becomes your AI platform for years ahead.
S/4HANA migration journey
AI-driven acceleration from source system to AI readiness
Source system
70% faster in discovery & prepare
System & data analysis can be automated with
- Unsupervised learning supporting the clustering of data objects
- Rule-augmented machine learning analysing dead data, redundancies and obsolete usage of data
- Knowledge graphs / graph analytics representing data objects, their dependencies and data flows
- Static code analysis + ML heuristics for custom code & CDS analysis
90% increased transparency in data cleansing
De-duplicate data through intelligent similarity detection using
- Nearest neighbour search, fuzzy matching and vector embeddings to increase accuracy and speed
A data health check shows migration readiness enabled by anomaly detection, statistical profiling and ML hybrid validation.
50% less manual data mapping effort
Auto-mapping & auto-merging are accelerators and increase accuracy by 40%, supported by
- Natural language processing, ontology-based reasoning and embedding models
85% reduction in testing time
Agentic test automation with AI analysing system usage and historical transaction patterns to enforce risk-based testing:
- Change propagation models for "what changes where?"
- Pattern recognition to identify typical breaking points in S/4 changes
- Supervised machine learning for impact scoring of business criticality and usage frequency
100% visibility through the project
Harmonised KPIs ensure consistent reporting and business decisions by
- Semantic similarity models, formula parsing and expression trees
Target system
100% AI readiness
An AI foundation can be set up based on the semantic layer created as "build once — use many". In addition
- Data drift detection creates pre-/post-migration comparisons
- Feature store abstraction patterns ensure decoupling from SAP release
- Feature profiling & statistical analysis show distribution, outliers and stability
ERP migrations don't have to feel monolithic.
There's a better way to plan — and it starts with the right strategy. Talk to us about your migration before the complexity compounds.
Discuss Your Migration Strategy