Codurance

Craft AIDeliveryAI Modernization

Delivery

AI Modernization

Your legacy modernized in months, not years, with no big bang.

Talk about AI Modernization See the 8 lines
Legacy system
Transformation
Modern platform

No big bang: domain by domain, with old and new running side by side.

1Stabilization with characterization tests
2Rewriting from the code or the UX
3Re-engineering by domain
4Behavior parity at acceptance
We measure
Behavior parity
% migrated
Incidents per month
% of business rules documented and covered by tests
Change lead time after migration
Sound familiar?
  • Nobody wants to touch the system that runs the business.
  • Unsupported stack and key-person risk.
  • Our AI agenda stalls because the legacy delivers neither data nor integration.
“Everyone is afraid to touch that system.”
What we do
  • Stabilization: stop the incidents with characterization tests and observability, plus a map of business logic and dependencies.
  • Re-writing: from source, AI reads the code, generates tests and requirements, rebuilds and compares. From the UX, it navigates the screens and replicates the behavior. Requirements and tests become the system’s living documentation.
  • Re-engineering: domain-by-domain conversion, with old and new running side by side. A decision per domain: keep, redesign or retire.
Objective acceptance criteria
Tests must give the same result on the old and the new system.
How it works
  1. Triage discovery: 1 to 2 weeks. Deliverable: dependency map and a decision per domain.
  2. Pilot in one domain: 4 to 8 weeks, fixed scope.
  3. Scale domain by domain, per scope.

Start with the 1-to-2-week triage discovery.

Scope and timeline agreed before you sign. You see the result of each step before deciding on the next.

Craft AI

The other seven ways in

AI Diagnosis & StrategyPlatform, data and team ready to run agents safely.AI First EngineeringCodurance's AI-first process inside your engineering.AI Technical Due DiligenceTells you whether the AI is real, defensible and economically sound.AI Governance ConsultA governance layer between application and model, from inventory to audit.AI App DevelopmentFrom idea to system in production, on an AI-first pipeline.AI Test AutomationA complete test safety net, from unit to E2E, without stopping the team.AI Feature DeliveryAn AI-first squad inside your product, multiplying throughput.