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Agency-Driven IT Modernization with exxfer

exxfer combines software analysis, domain-specific context understanding, and agent-based AI to understand existing applications more quickly, reliably evaluate modernization options, and implement targeted transformations.
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The Digital Twin for Fast, High-Quality Modernization

Before applications can be modernized, they must be understood.

In legacy systems, knowledge is often scattered across code, documentation, databases, and teams. A lack of context makes decision-making difficult and limits the usefulness of AI agents.

exxfer reveals these connections and unlocks the knowledge needed for successful modernization projects.

We accelerate complex agent-based work on existing software

  • Understand

    Understand applications from a technical and domain-specific perspective, including architecture, processes, dependencies, and business logic

  • Decide

    Evaluate modernization options and establish a plan, including risks, target architecture, effort, and roadmap

  • Transform

    Modify code with greater precision and reliability, including refactoring, migration, documentation, and test generation

Where exxfer Adds Value

  1. 01

    Understanding Complex Systems

    Gain a solid understanding of systems in days rather than weeks through transparent insights into technologies, applications, and business processes. exxfer uses agent-based analysis workflows to make distributed knowledge available in a structured way.

  2. 02

    Planning Modernization Based on Data

    Reliable decision-making foundations for evaluating modernization options and developing a targeted roadmap. Agent-based assessments help systematically evaluate business, architectural, and monolithic perspectives.

  3. 03

    Modify the code precisely

    A shared knowledge base for experts and AI agents enables faster results, greater reliability, and higher quality. Agent-based workflows support refactoring, migration, documentation, and test generation.

  4. 04

    Address Risks & Streamline Maintenance

    Greater transparency into hotspots, bottlenecks, and critical dependencies. exxfer helps teams reconstruct and consolidate documentation and tests, making them usable for further modernization. This not only makes risks visible but also allows them to be addressed in a targeted manner.

Proven in real-world projects

  • Faster with exxfer + Coding Agent vs. Coding Agent alone

    C++ to Java 

  • Cost Savings Through AI-Based Modernization

    AS/400 to Java 

  • Lines of Code Automatically Analyzed and Modeled 

    Modernization Planning 

EXTRACT DATA, INFER MEANING

exxfer-extract data

Step 1 - Extract

exxfer systematically ingests code, documentation, wikis, and ticket systems. Structures, calls, metrics, semantics, and relationships are captured. This creates a reliable data foundation for analysis, planning, and agentic transformation.

Step 2 - Infer

From the data, a Technology Graph and Business Semantics are generated. Together, they form the digital twin of the application. This model serves as the foundation for agentic assessments, modernization recommendations, and precise code transformation.

Examples of How We Support

  • Automotive

    Analysis of a C++ monolith and migration of a microservice to Java.

    • 900,000 lines of code and 2,000 pages of documentation modeled
    • 40% faster in execution
  • Financial Services

    Enterprise architecture for an automotive bank after portfolio splitting. COBOL/C modernization.

    • New IT target landscape
    • Legacy reduction
  • Insurance

    Data driven modernization roadmap for a legacy asset management system.

    • Outcome driven roadmap
    • Target architecture
  • Financial Services

    Migration of a mainframe order management system to a modern microservice architecture.

    • 20 bounded contexts
    • 4 teams synchronized

Powerful Knowledge 

exxfer Reads Legacy in Every Form 

Java
Kotlin
Android
XML
JSON
C#
C++
C
COBOL
Dokus
ABAP
PL/1
PL/SQL
PHP
+weitere

Questions? Sure.

Marc Zottner

Fellow IT Modernization