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A modern, enterprise-ready stack your teams can confidently build on.
Critical knowledge is often buried in legacy code or held by a few people. Recover and validate the business rules before you modernise.
Legacy systems can hold back AI, data and new digital services. Create a modern foundation that can evolve with your business.
Create a governed, well-documented landscape you can understand, maintain and evolve with confidence.
Each iteration focuses on one module, with a clearly defined scope and price, following the same four steps. Every cycle builds knowledge and capabilities that stay with your organisation.
Agree on what to tackle in this iteration.
One clearly defined module with measurable success criteria agreed upfront.
Understand first, then build with a safety net.
We document how the existing system actually works, use those specifications to build modern code and establish a golden master to compare old and new behaviour.
Your people test. The golden master proves.
User acceptance testing and automated regression tests demonstrate that the modernised system behaves as expected with measurable evidence.
Turn every lesson into a better next iteration.
We refine the approach, evaluate the results and agree on the next module — or stop, with everything delivered so far remaining yours.
Spec-driven modernisation with AI-generated tests, code and a migration roadmap.
Features flowing again on a supported, enterprise-aligned platform.
AI-assisted documentation and migration across 630+ COBOL programs.
Business rules recovered in days; first migration in 3 days.
AI-generated documentation and migration planning, enriched with domain expertise.
10×
faster migration, 3 days instead of 3 weeks
Every engagement builds on assets we have already developed and tested in practice. That means less time spent reinventing the basics and more time focused on your specific business challenge.
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Methods for process redesign, change management, and AI governance.
Governance & operating model: a proven framework for how AI and data initiatives get decided, owned and scaled responsibly.
Adoption & change playbook: a structured way to bring people along, so new tools and ways of working actually stick.
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Proven approaches for agents, RAG, evaluation, and guardrails
Agentic Delivery Pipeline: an AI-native delivery pipeline that plans, builds, tests and documents faster on every engagement.
Adoption & change playbook: a structured way to bring people along, so new tools and ways of working actually stick.
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Production-ready foundations (Software Development Kit & Platforms) that help teams build and scale AI solutions faster.
Data & AI foundation: A governed data platform that gives every AI initiative a solid foundation to run on.
AI Reliability Engineering: Our principles translated into an SDK, ready to be used in your AI applications with built-in monitoring of performance, quality and business value.
Our modernisation method is tool-agnostic. Models, agents and frameworks are selected to fit your stack and governance.
