AI-powered modernisation: Legacy system assessment
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Every organisation has one: a legacy system nobody wants to touch, but everyone depends on. It's evolved for decades on stacks no one teaches, the docs are missing or wrong, so it's become a black box.
This assessment is a safe and low-risk way to finally tackle those black boxes. In 10 business days, DiUS maps what’s actually running using generative AI and automated analysis across code, data and infrastructure, then verifies it against logs, traces and traffic.
Because AI-generated timelines, effort and target architectures skew optimistic, we calibrate them with years of hands-on modernisation and grounded in production realities. Our senior application, data and cloud engineers stitch those signals into a single picture and apply proven AWS modernisation patterns to turn it into a staged plan your stakeholders can stand behind.
Tailored to your environment and tools, from AWS Transform to a custom approach to direct what insights you'd like to gain into your legacy system, you’ll leave with clear options, credible cost/effort ranges, early wins and pathways to applicable AWS funding to reduce running costs, retire technical debt and accelerate time-to-value.
What you get
See the whole system: one clear view of the critical flows, dependencies and risk hotspots
Safe exploration: we use least-privilege, read-only access to repos and telemetry, work inside your normal access and approval processes, and keep data in your tenancy
Evidence you can trust: AI findings cross-checked against what’s actually running (logs, traces, traffic)
A plan you can execute: a clear call on refactor, replatform, replace or retire, sequenced for early wins
Numbers for approvals: cost/effort ranges and AWS funding guidance to help you get the green light
Risk and controls covered: guardrails and regulator-friendly artefacts to protect day-to-day operations
Ideal for organisation that:
Run business-critical .NET / Java / mainframe / COBOL with thin or outdated documentation
Need hard evidence to choose between refactor, replatform, replace or retire
Are stuck in analysis paralysis and need a credible path forward
Want to de-risk scope before funding a larger modernisation program
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