AI-assisted software modernisation
Use AI-assisted analysis and engineering to document existing applications, plan upgrades and develop reviewed software improvements.
THE BUSINESS CONTEXT
Older business applications often contain years of useful logic with limited documentation. Teams may hesitate to change them because integrations, data assumptions and deployment processes are poorly understood. AI-assisted analysis can help build a map, but the real system must remain the source of truth.
We combine repository inspection, working software and engineering review to identify a bounded improvement. The engagement can cover documentation, an isolated migration, test coverage or a new feature, with an explicit validation and rollback plan.
YOUR FIRST ENGAGEMENT
Focused Pilot
Assess one business-critical workflow and deliver a reviewed improvement in a staging environment.
Discuss This PilotAuthorised source access, a test environment, sample data and a technical owner.
Measures are agreed for your project. Results depend on the data, workflow and evaluation; they are not guaranteed improvements.
WHAT WE DO
Review authorised source code, configuration and interfaces without exposing secrets to unapproved tools. Produce a dependency and workflow map that engineers check against the running system. Record unknowns rather than treating generated explanations as proven architecture.
Select a module, user journey or compatibility issue with clear acceptance criteria. Estimate effort using observed constraints and dependencies. A working slice creates evidence for a larger migration. AI-assisted coding does not remove the need to understand framework behaviour, licensing and external service contracts.
Use AI to assist with implementation, refactoring and documentation while maintaining human code review. Verify important behaviour through meaningful checks, including permissions and failure paths. Dependency changes and generated code are assessed before they enter a production build.
Prepare staging verification, deployment steps and a rollback route. Explain changed behaviour to users and maintainers. Source access, documentation and continuing support are agreed in the proposal. The result should leave the application easier to operate, rather than dependent on a one-off generated patch.
A DEFINED ENGAGEMENT
Your proposal defines the exact scope, responsibilities, milestones, and exclusions. Depending on the engagement, the work can include:
WHERE IT FITS
Improve a critical internal application in manageable stages.
Add features or upgrade an existing product.
Provide a scoped engineering capability for client applications.
WHO THIS CAN HELP
Explore example workflows and the customer groups these services are designed to support.
A PRACTICAL FIRST STEP
Choose one useful task, agree how the result will be checked, and use the evidence to decide what should happen next.
QUESTIONS, ANSWERED
Large replacements require discovery, data migration planning and staged validation. We recommend proving one useful slice before committing to a full rewrite.
Source ownership, repository access and third-party licensing are defined in the engagement agreement.
Yes. We can agree a module, review process and handoff that fits your team’s existing engineering workflow.
CONNECTED CAPABILITIES
Build the application your operation actually needs.
Explore This Specialty
Bring a useful AI capability into an existing application or a new platform.
Explore This Specialty
Evaluate AI answer quality, permissions, costs and failure cases, and define practical ownership, review and change-control processes..
Explore This SpecialtyA CONVERSATION IS A GOOD PLACE TO START