Scale · Embedded teams and capability transfer
Ambitious roadmaps on real-time, regulated platforms, and not enough senior engineers with AI expertise to deliver them at the pace your market demands.
We embed multidisciplinary teams that hit regulatory and commercial deadlines from the first sprint, work inside your governance rather than around it, and transform your capability from within — so when we step back your own people are AI-ready and the roadmap is still moving. Capability transfer, not dependency.
THE PROBLEM
Capacity problems look simple from the outside. From the inside they are usually about seniority, regulatory exposure and time, not headcount.
Senior engineers with real AI expertise and regulated-platform experience are the scarcest people in the market. The roadmap cannot wait for the recruitment funnel.
The last augmentation partner sent CVs, not teams. Onboarding took longer than the engagement, the quality was uneven, and the knowledge left when they did.
Peak loads, regulatory deadlines, millions of customers. A team learning the domain on your time is a risk you cannot carry.
Two years in, the partner is still there and your own teams are no stronger. The spend became permanent and the capability never transferred.
THE PROCESS
Embedded teams can be in place within weeks and typically run for six to eighteen months. The Run step is designed in from the first week, because the point is to leave you stronger.
Map
We match your requirement against our resourcing database — SFIA levels, regulatory exposure, technical capability, sector experience — and shape the squad: product, analysis, architecture, engineering and quality blended for what the roadmap needs. Context packs and technical briefings are prepared before anyone starts.
You hold: A named, T-shaped squad with the right seniority and domain exposure, ready to start.
Design
Joint kick-off and a team charter: how the squad plugs into your governance, rituals and tooling, what good looks like, and how capability transfer will work. Weekly delivery touchpoints, monthly reviews and an executive quality board are set up, so engagement health is visible from the start.
You hold: A squad integrated into your ways of working, with the governance to track it.
Build
The squad delivers the roadmap inside your business. Regulatory and commercial deadlines are hit, real-time platforms kept stable under peak load, and delivery runs AI-native with Fleet in the lifecycle. Your engineers pair with ours throughout, so the practice transfers while the features ship.
You hold: Roadmap delivered, deadlines met, and your own people working the AI-native way alongside ours.
Run
A planned step-back. Knowledge transfer completed, documentation and playbooks handed over, your engineers owning the systems and the practice. Engagement health, velocity and customer satisfaction are reported throughout, and the measure of success is that you need us less.
You hold: A team that is still yours, working AI-natively, with the roadmap still moving.
THE OUTCOME
What good looks like:
PARTNERS AND ECOSYSTEM
Every embedded engineer arrives AI-native: more than 400 GitHub Copilot certifications across our engineering community, 100+ Anthropic-certified practitioners, 750+ OpenAI certifications, and AWS, Azure and Google Cloud depth across the squads.
As part of the Version 1 Group, large programmes can scale beyond our own 650 people through one relationship, with the same leadership and ways of working.
Preferred Services Partner.
100+ certified practitioners, so the squad that arrives is already working the way your engineers are being asked to learn.
Select Partner.
750+ certifications across our people. Embedded engineers bring the credential and the habit, not just the licence.
Scale beyond 650 people.
Where a programme outgrows us, the same relationship reaches group capacity with the same leadership and ways of working, rather than a second supplier to manage.
BUILT IN-HOUSE, PROVEN ON CLIENT WORK
Coordinates the agents
An agentic software delivery harness that coordinates coding agents, tools and engineering workflows, with automated quality gates, evaluations and traceability built into production delivery.
For this work: Embedded squads run Fleet in your delivery lifecycle from the first sprint, so your engineers learn agentic delivery by working inside it — and the harness stays with you when the squad steps back.
LIVE IN BUSINESSES LIKE YOURS
FanDuel
12 embedded multidisciplinary squads and 120+ specialists holding over 95% SLA adherence within regulated frameworks, as the business became number one in the US.
Read the case study
PayPal
Five-plus years of embedded delivery for a global financial services business, from data platforms through to product engineering.
Read the case study
With CreateFuture you get a team that are unafraid to get their hands dirty.
Andy Dunbar
Head of Product and CX, Aberdeen
STILL HUMAN
Jules Parry
Delivery Director
Owns embedded team engagements and engagement health.
Hass Peymani
Industry Director, iGaming
Leads the FanDuel, Fanatics and evoke relationships, where our largest embedded teams work.
Martin Paton
Chief Technology Officer
Sets the AI-native engineering standard every squad arrives with.
THE FIRST STEP
A one-to-two-week Map shapes a named squad against your roadmap, your regulatory exposure and your tooling, with context packs prepared before anyone starts. The charter says how capability transfer works from the first week, because the measure of success is that you need us less.
