AI-led legacy modernisation: core system replacement using Agentic AI to reverse engineer the source code and artefacts from an old core legacy system
Legacy modernisation often stalls before development even begins. Large, ageing codebases make analysis slow, estimates unreliable, and transformation initiatives risky. For regulated industries like insurance, these delays increase cost, uncertainty, and delivery risk.
This case study shows how an AI-led modernisation approach dramatically reduced analysis and design time, improved confidence in planning, and enabled a clearer, faster path from legacy systems to modern platforms.
+ The Challenge
A 20+ year-old policy administration system needed to be modernised. The client had more than 1,500,000 lines of code that had to be analysed before migrating to OutSystems.
+ The Solution
With FactoryAI, we analysed thousands of lines of code in just two weeks and identified the changes required to generate target system components automatically. This helped accelerate delivery and increased confidence in the modernisation path..
+ The Results
+ Analysis and design completed in days instead of weeks
+ Error-free generation improves compliance: Removing human intervention reduces risk of formatting and data issues.
+ Staff productivity increases immediately: Operational teams focus on higher-value tasks instead of repetitive document work.
+ Scalable workflow supports daily demand: The bot handles 10+ leaflet generations per day with no performance drop.
