DigiEdze AI · AI Modernization
Modernize On-Prem Systems with AI
The barrier to modernising a twenty-year-old system is comprehension. AI can now read an estate nobody fully understands and produce the documentation, tests and transformation plan that make change safe.
- legacy understanding
- code transformation
- test generation
- documentation
- modernisation agents
- application modernisation
Reference architecture
- 06Legacy estate ingestion
- 05Comprehension & dependency mapping
- 04Business-rule extraction
- 03Characterisation test generation
- 02Assisted transformation with review
- 01Incremental cutover
The problem
What changes when this goes wrong?
The system runs the business and nobody left can explain what it does.
There are no tests, so any change is a gamble.
Rewrite estimates are unfundable because the scope is genuinely unknown.
What we build
AI Modernization Capability Grid
Legacy comprehension
Automated analysis of code, data structures and job flows producing an explained map of behaviour and dependency.
Documentation generation
Current-state documentation and business-rule extraction generated from the system as it is, then reviewed by the people who know it.
Test generation
Characterisation tests that pin existing behaviour before any change, turning a rewrite from a gamble into an engineering task.
Code transformation
Assisted migration between languages and frameworks with human review at every meaningful boundary.
Modernization Agents
Agents that handle repetitive migration work under review, so scarce specialists focus on the difficult parts.
Incremental strangler delivery
Sequenced replacement with both systems running, rather than a big-bang cutover.
How it works
Our modernization powers your enterprise to thrive on next wave of AI technologies. Combined with deep industry expertise, we drive the AI-native engineering across your business systems.
Technology
- Static analysis
- Coding agents
- Test generation
- Dependency mapping
- CI/CD
Use Cases
Implementation Across Verticals
BFSI
Core system business rules extracted and evidenced before a platform migration.
Government
Undocumented legacy applications mapped and characterised ahead of replacement.
Telecom
Provisioning logic understood and tested before modernisation.
Outcomes
What We Measure
When modernization is accelerated with AI and context-awareness, the results speak for themselves – reliability, agility, speed, and lower costs. Design what AI means for you.
- Estate coverage documented
- Test coverage before change
- Defects found pre-migration
- Modernisation throughput
Questions
AI Modernization, Answered Directly
Can AI rewrite a legacy system automatically?
Not safely, and that is the wrong goal. What AI changes is the economics of comprehension: reading, documenting and characterising an estate that no one understands. Once behaviour is pinned by tests, transformation becomes a manageable engineering programme instead of an unbounded risk.
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ExploreChoose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
Start a Modernization Assessment
An assessment of your infrastructure to align AI engineering across your systems is a choice of futuristic transformation. Let’s talk what our expertise can solve for you!
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT