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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.

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The Challenge

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

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Contain critical business logic hidden in code

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Depend on individual experts and undocumented knowledge

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Slow down innovation while increasing operational and compliance risk

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Make every change costly, fragile, and uncertain

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Traditional refactoring approaches focus on code cleanup, not on understanding what the system really does.

Our Approach

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

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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

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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.