Source Harvesters
Builds an accurate inventory of what the legacy estate contains, runs and depends on, across BI, ETL and database code.
Testing
Migration Testing Workbench
Continuous comparison between legacy and target from the first sprints, so cutover is signed off on evidence rather than confidence.
Most programmes test late. Reconciliation starts a few weeks before cutover, when every difference is urgent and expensive to fix, and sign-off ends up resting on confidence.
The Workbench starts testing early. From the first migrated objects, legacy and target results are compared continuously, differences are pinpointed, and every deployment leaves a quality report that can be audited later.
What it delivers:
- Reconciliation from the early sprints instead of the final weeks
- Differences pinpointed precisely, so they can be explained or fixed
- A quality report for every deployment, kept for audit
- A clear basis for the go/no-go decision at cutover
Further reading: How to prove a migration is correct.
We describe what each accelerator does. How they work, including demonstrations, is something we show clients directly and under NDA, usually during an assessment.
The other accelerators
Legacy Data Miner
Works out from actual usage which data the business really depends on, and what can be retired instead of migrated.
Agentic Reverse Engineering
Uses governed AI agents to analyse legacy code at scale, with every finding traced to its source and reviewed by an engineer.
Lineage-Gated Observability
Data quality monitoring that takes lineage into account, so alerts point to causes instead of flooding teams with symptoms.
Planning a migration, or stuck in one?
Send a few lines about your estate. We reply within one working day, and sign an NDA first if you need one.