Internal Performance Management System
Designed, built, and deployed entirely using AI-coding assistants — now running across every business unit in the Shipra Group.
Built with AI-coding assistants, end to end
Solutions · Engineering AI Systems
Build software faster with AI — without losing sight of how it's built
Engineering AI Systems is how we help your team design, build, deploy, and keep an eye on software using AI-assisted tools — without it turning into a black box nobody can explain.
Overview
Engineering AI Systems is how we help your team design, build, deploy, and keep an eye on software using AI-assisted tools — without it turning into a black box nobody can explain. That doesn't mean defaulting to building everything from scratch. Where an existing tool or platform genuinely does the job, we say so and wire it in; we build custom only where it earns its cost. Either way, we work alongside your engineers, not around them.
Who this is for
CTOs and VPs of Engineering who want AI to genuinely speed up delivery — not just autocomplete in the editor, but built into how software gets designed, tested, shipped, and watched once it's live.
The problem, plainly
Most engineering teams are already using AI to write code faster. Fewer have a disciplined way to decide what's actually worth building versus buying or integrating — and fewer still can explain afterward, clearly, what was built, what was bought, and why. Speed without that judgment just moves the risk downstream.
How an engagement runs
Same four steps, every time
Consistency here is part of what you're paying for, not a formality.
- 01
Assess
A plain-language look at how your team builds and ships today, and where AI genuinely helps versus where it's just noise.
- 02
Pilot
One real piece of work, built with AI assistance end to end, measured against your own baseline.
- 03
Implement & Deploy
The wider rollout, milestone by milestone, each one signed off before we move to the next.
- 04
Operate
Ongoing monitoring and tuning, so it keeps working after launch, not just on day one.
Proof, not promises
Two real systems, not case-study fiction
Both are running today, not archived slide decks.
AI-assisted testing platform
Doesn't just build tests with AI — it runs Maestro-orchestrated agents across the devices and emulators already on hand. No dedicated device farm, just disciplined use of what's available.
Maestro-orchestrated · existing device fleet
Next step
Not sure whether your team's AI usage today is disciplined or just scattered?
A two-week Readiness Assessment gives you a straight answer — the same first step regardless of where you're starting from.
