

AI-Assisted Legacy Refactoring
Modernise Smarter
Accelerate software transformation while preserving compliance, security, and business knowledge. We combine AI-assisted refactoring, security by design, and enterprise architecture excellence to help banks, insurers, and regulated organisations modernise legacy systems safely and efficiently.

The Challenge
Legacy Systems are Still the Backbone, and the Risk. In financial and regulated environments, they:


Depend on individual experts and undocumented knowledge

Slow down innovation while increasing operational and compliance risk

Make every change costly, fragile, and uncertain
Traditional refactoring approaches focus on code cleanup, not on understanding what the system really does.
Our Approach

adorsys applies AI-assisted refactoring to transform legacy systems into explainable, secure, and future-ready platforms.

We don’t just refactor code. We extract, structure, and preserve knowledge, and use it to modernise with confidence.
Four Principles That Set adorsys Apart
AI-First, Not AI-Only
AI analyses large, complex codebases at scale, identifying structures, dependencies, and hidden logic far beyond manual capabilities.
Agentic AI for Precision
Specialised AI agents focus on specific domains, business logic, data flows, APIs, architecture, enabling a holistic and accurate system understanding.
Human Supervision by Design
AI analyses large, complex codebases at scale, identifying structures, dependencies, and hidden logic far beyond manual capabilities.
Knowledge as a Strategic Asset
Legacy knowledge is transformed into ontologies and knowledge graphs, creating a living, auditable foundation for modernisation.
Modernise your legacy systems with AI
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How It Works: The 3-Step Refactoring Framework
AI-Driven Code Analysis
AI analyses the full codebase, even thousands of classes, extracting structures, APIs, data flows, and implicit business logic. 💻 Outcome: Hidden knowledge becomes visible and accessible.
Knowledge Graph & Architecture Mapping
The extracted insights are structured into a knowledge graph that connects technical components with business concepts. 💻 Outcome: Clear visibility into dependencies, risks, and refactoring priorities.
Knowledge-Based Transformation
Modern architectures, cloud migrations, or platform transitions are designed based on validated knowledge, not assumptions. 💻 Outcome: Faster, safer transformation with reduced risk.
Business Outcomes
Accelerated modernisation (weeks instead of months)
Reduced operational and compliance risk
Clear decision-making based on facts, not assumptions
Improved code quality and maintainability
Preserved and resuable business knowledge
Ready to Modernise Without Losing Control?
Talk to adorsys about your legacy challenges and discover how AI-assisted refactoring can unlock transformation, securely and sustainably.