Kellton Tech Solutions has launched Phoenix.AI, an agentic, AI-to-the-core platform designed to modernise enterprise legacy systems at greatly increased speed and lower cost. The company said the platform re-engineers monolithic estates into cloud-native microservices, compressing multi-year transformation programmes into weeks and accelerating modernisation by up to 80 per cent while reducing costs by up to 50 per cent. The product is presented as fully scalable by design and built on advanced artificial intelligence capabilities.

Phoenix.AI operates through a continuously running transformation framework that automates the end-to-end lifecycle of code modernisation. The platform performs analysis and decomposition into microservices, conversion, validation, remediation and quality assurance while preserving enterprise-grade reliability, governance and operational continuity. Its embedded self-correction and execution intelligence are said to lift engineering productivity, accelerate release cycles and improve outcomes through accumulated delivery learning, reducing engineering overhead and transformation complexity.

The company reported that Phoenix.AI is already deployed across enterprise engagements and is powering one of the largest AI-led code modernisation programmes it is executing for a US-headquartered global enterprise software leader serving manufacturers in the Americas, EMEA and APAC. The engagement involves migration of more than four million (mn) lines of source code from Progress ABL/OpenEdge to a modern Microsoft .NET Core and Entity Framework stack, re-engineered into a fully scalable, cloud-native microservices architecture.

The programme covers 12 core business modules, including Purchase, Production, Sales and Common Services, which form the backbone of the client's flagship enterprise platform. Kellton said the commercial rollout marks a decisive transition from AI experimentation to AI-led enterprise execution at scale and that Phoenix.AI will enable clients to operationalise legacy modernisation with greater speed, predictability and efficiency. The company noted it employs over 2,000 professionals across North America, Europe, the Middle East and Asia.