Four stages, each with an exit.
AI Readiness Assessment
We map where AI creates the fastest return in your business, and where it would only add cost. Output is a prioritised list, not a deck.
Roadmap & Pilot
A scoped first build, live in weeks, with a measurable outcome agreed in advance so success is not a matter of opinion.
Scale
Dedicated team, fixed price or time and material, whichever model fits how the work is behaving by then.
Operate & Evolve
Monitoring, retraining and improvement as your business changes and as AI capability itself moves.
Agile, with AI compressing the slow parts.
We work in two-week sprints with a reviewable increment at the end of each. What AI changes is not the ceremony, it is how much gets done inside it. Scaffolding, test generation, migration of existing logic, code review and documentation are all AI-assisted.
- Working software you can review every two weeks
- Automated test coverage treated as a deliverable, not an extra
- Documentation generated alongside the code, not after the project
- Your repositories, your cloud accounts, your IP throughout
- A named architect and delivery lead who stay with the project
What you get regardless of model.
Weekly visibility
Progress, blockers and burn reported weekly in plain language, not a dashboard nobody reads.
Change control that is honest
Scope changes get an impact assessment before they get built, not an invoice afterwards.
Security by default
Secure SDLC practices, dependency hygiene and access control built into the pipeline.
Knowledge transfer
Your team can take over. We document and hand over as standard, not as a paid extra at the end.
Time-zone overlap
Delivery across India, USA and Australia gives real working overlap rather than a 24-hour reply cycle.
One escalation path
A named lead, and direct access to the CTO when something needs it.
