The Lifter Delivers 10x Faster Legacy Discovery for a Large IT Enterprise
Client Overview
The client is a leading North American IT organization running critical business systems built over decades on Informix 4GL, Java, PL/SQL, and Oracle Forms, extended with deep, organization-specific customizations. As the organization prepared to modernize these systems, it needed to validate legacy risk and map real dependencies before committing to timelines, budgets, or architecture decisions.
Modernizing an Undocumented, Decades-Old Environment
01
Platform Sprawl
Multiple languages and platforms tightly coupled over decades, with no single system of record.
02
Undocumented Process Flows
Cross-system interactions running in production with no written record of how they worked.
03
Embedded Business Logic
Critical rules buried inside code instead of captured in specs, invisible to anyone outside engineering.
04
SME Dependency
Institutional knowledge concentrated in a small group of people, with no redundancy if they left.
05
Compliance and Continuity Exposure
Any modernization moves risked breaking operations or violating audit requirements no one could fully see.
The Lifter Turns Legacy Complexity into an Evidence-Based Modernization Roadmap
Legacy Lifter starts by reading the source code and separating standard functionality from custom logic. Data Lifter then maps how that logic connects across platforms and dependencies. Test Lifter measures coverage, accuracy, and confidence in the results before the organization scales further.
01
Code-Level Visibility
Legacy Lifter analyzed the environment directly from source code and supporting artifacts across Informix 4GL, Java, PL/SQL, and Oracle Forms. Every insight traced back to facts in the code, not assumptions or interviews.
02
Custom Logic Identification
The Lifter separated out-of-the-box functionality from logic built for the client's specific business needs. This showed leadership exactly where modernization risk actually lived.
03
Dependency and Risk Mapping
Mapped process flows and interdependencies across platforms, exposing tightly coupled components, high-risk change zones, and areas ready for phased modernization. Teams could now sequence work based on what would actually be impacted, rather than guessing what might break.
04
Human-Validated Output
Domain experts reviewed every AI-generated insight through a human-in-the-loop process. This made the output business-accurate, context-aware, and ready for executive decision-making. The engagement left the organization with feature and functionality inventories, business rule dictionaries extracted from live systems, cross-platform dependency maps, and structured documentation aligned to transformation planning.
05
Deep Core System Analysis
Traced entry points across user interfaces and batch processes while identifying shared logic and tightly coupled components. Highlighted areas suited for faster modernization alongside components requiring careful refactoring.
Clarity That Moves Modernization Forward
Identified high-risk and low-risk zones gave teams a clearer basis for sequencing modernization work, and the same evidence-backed insight gave leadership greater confidence in go or no-go decisions. The organization moved from assumption-driven planning to proof-driven readiness, a reminder that modernization success often depends less on speed and more on certainty.
98% Legacy Environment Coverage
Broad visibility across the legacy environment gave leadership a stronger basis for modernization planning.
10x Faster Legacy Discovery
A shorter discovery cycle gave the enterprise a faster path to assess modernization readiness.
80% SME-Validated Accuracy
Domain experts validated extracted business rules and logic, strengthening confidence in the analysis.
Modernization Moves Faster When Uncertainty Moves Out
Legacy modernization is rarely held back by a lack of ambition. It is held back by uncertainty around what systems do, how they connect, and what might break when they change. Once that uncertainty is replaced with evidence, teams can make decisions with greater confidence and move forward without treating every modernization step as a risk to the business.
Claims dispatch activities moved through an automated workflow and reduced dependency on manual coordination and repetitive operational follow-ups.