Software modernizationthat enables AI.

No. The assessment determines the route, and the outcome ranges from a complete rebuild to targeted changes. Sometimes the advice is to change less than expected, and that advice is part of the service.

No. The platform gets brought up to standard while daily operations continue. Continuity is a requirement of the work, planned for from the assessment onward.

When the platform and the data are sound, yes. The assessment establishes whether that is the case. When the foundation cannot carry reliable AI yet, that finding comes first, with the route to fix it.

Yes, on both sides of the work. During the assessment AI helps read existing codebases and reconstruct thin documentation, so years of accumulated business logic surface in weeks instead of months. During development AI-assisted engineering speeds up building and testing, and it performs best on a clean, documented codebase, which is what modernization produces, so the gains compound over time. An engineer reviews everything that ships, following the same rule Eli5 applies to client work: prepared by the machine, checked by a person.

Models from OpenAI via Microsoft Azure, Anthropic, and Google, chosen per engagement. The models run on European hosting, in compliance with the GDPR and the AI Act.

AI does the preparatory work, such as reading documents, entering data, and running checks, and staff make the final call. Rules and criteria live in adaptable knowledge bases, so the software moves with changing regulation.

A team of around twenty engineers with fifteen years of experience. The engineers who scope the work also build it, and the direct contact is a partner rather than an account layer.

With an assessment of the existing platform, the data, and the processes around it. The first conversation about it is free of charge and without obligation.