A legacy rental platform gets its architecture rebuilt by AI.

Rent A Car Belgium is one of the country’s leading vehicle rental providers, offering cars, vans and commercial vehicles through more than 50 locations and an online booking platform.

Rent A Car Belgium · Legacy Modernization · Applied AI

Faster Delivery

Weeks of discovery compressed into days

Lower Risk

Hidden dependencies surfaced early

Greater Control

Human-in-the-loop validation throughout

Applied AI

AI Accelerated Legacy Modernization

Rent A Car Belgium’s application landscape had grown into a complex, multi-system estate — undocumented in places, dependent on institutional knowledge and aging documentation, with fragile integrations and unclear priorities for where to invest first.

Rent A Car ongoing assistance contract screen
What we did

An AI-supported modernization framework applied across the application landscape, enabling:

  • Code and dependency analysis across applications and interfaces
  • Reconstruction of architecture, business rules and integration flows directly from source code
  • Generation of validated specifications, regression tests and technical documentation
  • Impact analysis and phased migration planning guided by risk and business value
Key Features

Architecture Reconstruction

AI reconstructs architecture, business rules and integration flows directly from source code, eliminating dependency on institutional knowledge.

Impact Analysis & Migration Roadmaps

AI-generated impact analysis and phased roadmaps reduce big-bang rewrite risk and surface hidden dependencies early.

Automated Regression Testing

AI generates regression tests from existing behaviour, enabling safe refactoring with verified coverage from day one.

Methodology
  • Code & Dependency Mapping
  • Code-to-Architecture
  • Specification & Test Generation
  • Impact Assessment
  • Phased Migration Planning
  • Human-in-the-Loop Validation
Impact

Modernization driven by AI, governed by experts.

Faster discovery & documentation

Compresses weeks of discovery into days, giving teams a validated specification baseline from the start.

Fewer manual errors

Reduces manual errors in analysis, test preparation and refactoring.

Less dependency on institutional knowledge

Eliminates reliance on tribal knowledge and aging documentation.

Better investment decisions

Clearer visibility of risk and quick wins guides where to invest first.

Human-in-the-loop governance

Keeps business experts and senior engineers validating every step, from specification to delivery.

Bring us a challenge like this

Rent A Car started with an undocumented application landscape nobody wanted to touch. Tell us which systems are holding the business back, and we will tell you what to modernize first — by risk, business impact and delivery readiness.