Clear steps. No surprises.
Every engagement starts small, proves value early and grows with evidence. Here is how we take AI from use case to production, and how we deliver software week by week.
From AI use-case
to production.
Three steps. Each ends with a deliverable and a decision you make on evidence.
AI use-case
We pick one use case with you, check that your data can support it, and agree the number that defines success.
- Use cases ranked by value and feasibility
- Data and systems readiness review
- Success metric and delivery plan
Proof of value
Forward deployed engineers build a working version on your real data and measure it against the agreed number, so you decide on evidence.
- Working solution on your data
- Results measured against the metric
- Production plan, costs and risks
Production and scale
We harden it, connect it to your systems and monitor quality and running cost. Then we take on the next use case.
- Security, access control and audit
- Integration with your ERP, CRM or product
- Quality, usage and cost monitoring
Pick how we
work together.
AI use-case
A one-to-two-week engagement to pick the AI use case worth building and prove your data can support it.
Best for: Businesses exploring AI
Dedicated product team
A cross-functional team of forward deployed engineers that owns agreed parts of your product and ships every sprint.
Best for: SaaS and data platforms
Fixed-scope build
An ERP, CRM, app or AI solution delivered end to end with a named project manager.
Best for: Growing businesses
Staff augmentation
Vetted, forward deployed engineers who join your team, tools and sprints.
Best for: Teams with strong leadership
From complexity to clarity.
Understand
- Business
- Users
- Data
We start with the business, the people who will use the system and the data it depends on, before a line of code.
Architect
- Scope
- UX
- Technology
Scope, experience design and architecture planned to evolve with the business and to carry AI later.
Build
- Engineering
- AI
- QA
Short, visible cycles with weekly demos, automated tests and a release you can use early.
Evolve
- Measure
- Improve
- Scale
We measure what launched, improve what matters and scale what works, often for years.
Every week, you'll see progress.
Weekly demos
Working software every week, not status slides.
Shared boards
The same backlog and board your team can see at any time.
Named lead
One person accountable for delivery and communication.
Quality built in
QA engineers, automated tests and code review on every change.
Time-zone overlap
Agreed overlap hours with the US, UK, Europe, Israel and Australia.
Your IP
All code, documentation and IP belong to you.
Before you ask.
How do engagements usually start?
With a short call, then either an AI use-case engagement, a short discovery for a fixed-scope build, or one or two engineers who join your team.
Do you sign NDAs?
Yes. We sign an NDA before discussing details, and all case studies on this site are anonymised.
How do you price?
By scope and team. Fixed-scope builds have a fixed price after discovery; teams are billed monthly. We share an estimate after the first call.
Which time zones do you work with?
Clients in the US, UK, Europe, Israel, the Middle East, Australia and India, with agreed overlap hours.
Have a complex problem?
Tell us what you're building. We'll reply within one working day.