
Ship sooner
Less time spent reading legacy code, writing boilerplate and assembling test data means more of the project goes into the work that needs judgement.

You do not need to be buying an AI solution to benefit.
When we modernize an application, build an extension or move a database, the way we build is changing.

Less time spent reading legacy code, writing boilerplate and assembling test data means more of the project goes into the work that needs judgement.

AI-generated test cases and automated review catch problems earlier, before they reach your testers or your users.

Specs, technical notes and runbooks are drafted as the work happens, so knowledge does not leave with the project team.

Clear code and current documentation make the handover to support simpler, including to our own managed services team.
AI is useful at every stage of delivery, but it never works unsupervised.
Choose a stage to see the split.
Legacy systems rarely come with current documentation. This is where most modernization time disappears.
The practices where we are bringing AI into delivery first: the high-effort, pattern-heavy work where it helps most.
Reading Oracle Forms and PL/SQL, extracting business rules and rebuilding screens as modern APEX applications.
Understanding existing customizations, then building extensions and reports that stay upgrade-safe.
Mapping schemas and code across platforms, converting objects and generating validation checks for the data.
Development of bespoke applications with faster scaffolding, AI-assisted code review and broader test coverage.
Keeping the applications we support healthy: faster root cause analysis, safer customizations and maintenance, and documentation that stays current.
Using AI in delivery only helps if you can trust what comes out.
These are the rules our teams work to.
Every line that ships has a named engineer accountable for it, whoever or whatever drafted it.
AI output goes through the same peer review, testing and quality gates as hand-written work.
We agree which tools are used and how your code and data are handled before the project starts.
Architecture, business rules and sign-off are decisions people make with you, not ones we hand to a model.
No. AI drafts, suggests and checks. Our engineers design the solution, decide what goes in, review every change and remain accountable for the result.
No. We are bringing AI into our modernization and development practices progressively. Ask us how it would apply to your project and we will tell you where it is used.
We agree the tools and data-handling rules with you before work starts, in line with your security and compliance policies.
Yes. Under our managed services, AI helps with maintenance, customization, root cause analysis and documentation. Engineers approve and apply every change.
Yes. Understanding legacy Forms and PL/SQL, extracting the business rules and rebuilding in APEX is one of the areas where AI helps most.

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