Application Refactoring: AI-Assisted Refactoring

Market Context

Technical debt costs global business an estimated $1.52 trillion annually (CAST Research). 70% of enterprise applications still run on legacy platforms (IDC).

Regulatory requirements (NIS2, DORA, EOL of platforms like SAP ECC in 2027) and the shrinking pool of "legacy stack" specialists are creating a window of opportunity that is closing faster than organizations can react.

At the same time, the maturity of AI tools (GitHub Copilot, Claude Code) now allows for a 50-65% reduction in code migration time compared to manual work.

Project Context

Modernize your IT ecosystem with surgical precision. We define clear boundaries and triggers for intervention to ensure every refactoring wave delivers maximum ROI without disrupting core operations.

When is this program justified?

An application portfolio with an unclear composition (100-500+ systems), unknown owners, and outdated documentation.

Regulatory or technological pressure forcing interventions within a specific timeframe.

A history of mergers and acquisitions — a heterogeneous portfolio resulting from consolidation.

The organization wants to build internal competencies rather than surrendering control of IT to an external vendor.

What we DO NOT do:

We do not replace ERP systems — SAP can be modernized.

We do not take over shared systems of capital groups without decision-making ownership.

Precise scope exclusions = lower risk and a realistic program schedule.

Precise scope exclusions = lower risk and a realistic program schedule.

Three Stages — each stage is a separate purchasing decision

Portfolio Map

4-6 weeks / Fixed Price

Replacement Roadmap

4-8 weeks / Fixed Price

Wave-based Execution

Multi-year model / Fixed Price per wave

Full application registry with owners, technology, and criticality.

Map of mutual dependencies between systems.

TIME Classification: Tolerate / Invest / Migrate / Eliminate.

Three-dimensional assessment: Business Value x Technical Health x TCO.

List of technological and regulatory risks.

3-5 year replacement roadmap using the "Waves Approach".

7R Strategy for each application (Retire/Retain/Rehost/Replatform/Refactor...).

Program cost estimation with ranges — not single-unit figures.

Compliance plan: which applications require intervention before an audit. .

Technical execution of 7R — our team + Client's team.

AI in code rewriting: 50-65% time reduction vs. manual work.

Shadow Testing before production migration.

Replicable Playbook — documentation updated in real-time.

Strangler Fig Pattern — zero "big-bang" deployments for critical systems.

AI as a Real Working Tool

Code and Dependency Analysis

. Automated mapping of modules, classes, and integrations.

Generating architectural documentation from code.

AI-assisted compliance screening (NIS2, GDPR).

Tools: CAST AIP, jQAssistant + Neo4j, Claude Code.

Migration and Testing

Code rewriting (Java -> .NET, COBOL -> Java) with an "architect-in-the-loop".

Automated test generation.

50-65% reduction in migration time vs. manual work.

Tools: Claude Code, GitHub Copilot, Diffblue, OpenRewrite.

"Build-the-builders": Upon program completion, the Client has an internal team of 3-5 people and a playbook to conduct subsequent waves independently.

Key Figures

50-56%

Migration time reduction thanks to AI.

Full strategy model per application.

3-5

People capable of leading independent waves after the program.

Fixed Price — price known before the start of each wave.

Talk to our Behavioral AI Expert!

Whether you want to prevent churn, predict customer behavior, or personalize experiences at scale - it all starts with a conversation. Our expert will show you how InteractionMind turns behavioral data into measurable business value, outline the right collaboration model, and highlight quick wins that deliver ROI in 90 days.

Andrzej Juszczyk Cloud & data director

FAQ - AI-Assisted Refactoring

How quickly will we see results? First insights appear within weeks. With a Proof of Concept, we can show value on your data in 2-3 weeks, and pilot projects scale in under 90 days.

How is data protected and secured? We ensure compliance with enterprise security and regulatory standards (e.g., GDPR, SOC2, ISO 27001). Data is processed with strict governance and full control over access.

How do you calculate and demonstrate ROI? ROI is demonstrated by measurable KPIs such as reduced churn, increased cross-sell, higher model productivity (up to 10×), and shorter modeling cycles (from months to days).

Does InteractionMind work across industries? Yes. It applies wherever behavioral data is key: retail, e-commerce, telecom, finance, insurance, media, and beyond.

Do we need to replace our existing systems to use InteractionMind? No. InteractionMind integrates with your current data infrastructure (CRM, DWH, CDP, or ERP) through APIs, ensuring smooth adoption without disrupting existing workflows.

What makes InteractionMind different from traditional predictive models? Unlike traditional models, InteractionMind reduces the need for labeled data (up to 3.5× less), accelerates deployment, and scales predictions in real time, delivering actionable insights faster.

Can InteractionMind be customized to our specific needs? Absolutely. Models can be tuned to your KPIs, data availability, and industry-specific requirements, ensuring relevance and business impact.

Application Refactoring