AI Modernisation services: Turn legacy systems into AI-ready platforms
A barrier to innovation
Legacy systems are no longer just expensive to run. They are becoming harder to operate, slower to change, and increasingly risky to rely on. Rising costs, end-of-life technologies like COBOL, VB6, or legacy Java, and fragmented data landscapes are holding back innovation, delaying regulatory response, and preventing AI adoption. GFT Technologies modernises your core systems end-to-end, reducing operational costs, accelerating time-to-market, and turning legacy into a foundation for resilience and AI-ready architectures.

Our AI Modernisation services
AI Modernisation Services are built on a strong and proven methodology refined over years. We combine a structured top-down strategy with bottom-up code execution, ensuring alignment between business goals and technical precision throughout the programme. This approach is further enhanced by specialised expertise, industry knowledge, governance frameworks, and effective change management, creating a comprehensive modernisation engine.
Advisory & portfolio assessment
Know what to modernise – and how
We give you a clear, fact-based view of your landscape and define the right modernisation path.
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Dependency and risk mapping
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8R strategy (rehost, refactor, rewrite, etc.)
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Target architecture definition
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Business case and phased roadmap
Mainframe modernisation
Reduce cost. remove risk. future-proof your core.
We modernise mission-critical environments with the right approach:
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Rehost → fastest cost reduction
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Refactor → improved maintainability
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AI-powered rewrite → future-ready architecture
Delivered with controlled risk and no disruption to running operations.
Application modernisation
From legacy applications to scalable, AI-ready systems
We transform outdated applications into modern platforms built for innovation:
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Angular / React frontends
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Spring Boot / .NET backends
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API-first, modular architectures
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AI-ready documentation
Integration & middleware modernisation
From fragile batch processing to real-time, event-driven systems
We replace fragile legacy integrations with scalable, event-driven architectures:
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Kafka and event streaming
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Microservices and APIs
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Standardised integration patterns
Data, analytics & AI enablement
Make AI adoption possible – and practical.
We modernise your data foundation so AI initiatives can deliver value:
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Migration from legacy data platforms
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Real-time data pipelines
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AI-ready data models and governance
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LLMOps and advanced analytics enablement
Performance optimisation & cost take-out
Cut cost without standing still.
We identify and implement high-impact improvements while your future architecture takes shape.
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Mainframe consumption reduction
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Batch and workload optimisation
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Licensing cost reduction
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Prioritised savings backlog



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