From Black-Box Mainframes to a Queryable Estate

Challenge

The "Black Box" Logic Problem

The core processing rules (tax calculations, eligibility checks, and validations) are locked inside legacy code that has run for decades. Because documentation is missing and the original authors are likely gone, the business is operating on logic that nobody fully understands. You can't safely upgrade or replace a system when you don't actually know what it is doing.

Manual and Sluggish Impact Assessment

Every time a change is proposed, it triggers a slow, manual dependency analysis that can drag on for months. This creates a massive operational bottleneck, effectively stalling the wider digital transformation and killing any chance of business agility.

The Compounding Risk Trap

The client is caught in a dangerous feedback loop. They cannot modernize because they don't understand the existing rules, and they cannot accelerate because every single modification requires a painstaking, hand-built impact analysis. These two risks feed into each other, paralyzing progress and increasing the likelihood of system failure if a change is forced through.

Solution Approach

Extracting the hidden rules

VE3 applied an AI-assisted Business Rule Extraction approach, combining static code analysis with natural-language processing and generative AI to surface rule-dense areas and translate them into plain-language rules and decision tables.

Effort was prioritised toward the highest-value, rule-dense components first. Crucially, every extracted rule passed through a human validation step: Data Translators worked with subject-matter experts to confirm accuracy, capture the business intent behind each rule, and decide whether it remained current or could be retired. The output was a centralised, searchable and validated rule repository — a trustworthy foundation for modernisation.

Making impact analysis instant

In parallel, VE3 built attribute-level data lineage and stitched the physical data view (in AXON) to the logical process view (in ABACUS). This turned impact analysis from a bespoke project into a live query.

A change that previously required months of manual tracing could now be assessed in days: query the data hub for a system's full lineage, follow the stitch to the dependent business processes, and read off the complete blast radius — downstream consumers, upstream sources, affected processes, stakeholders and compliance implications.

The outcomes

A validated rule repository replaced tribal knowledge and undocumented code, de-risking modernisation decisions.

Impact analysis in days replaced multi-month manual assessments, removing a major bottleneck to delivery.

Early identification of dependencies meant data and process impacts were caught before they became blockers.

A reusable foundation that future programmes could extend rather than rebuild.

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Legacy risk and slow impact analysis are usually treated as separate problems. They are not. Both stem from the same root cause: knowledge trapped in systems and people rather than captured in a connected, queryable model. Extract the rules, build the lineage, link the views — and the estate stops being a liability and starts being an asset the transformation can move through at speed. VE3 helps organisations turn opaque legacy estates into documented, queryable assets — combining AI-assisted rule extraction, attribute-level lineage and linked metadata models. To explore how VE3 can make your modernisation safe and your impact analysis instant, visit ve3.global.