Forward Deployed · AI
An AI expert engineer, embedded in your software team
A senior engineer who is an AI expert joins your team, in your standups and your repos. They change how the team builds, so you ship better software faster.
What you get
Your Software Team, Equipped For The AI Era
- A senior multi-disciplinary Forward Deployed Engineer in your team without the wait, and completely risk-free
- Upskill your team hand-in-hand with a Forward Deployed Engineer who is an AI software delivery expert
- A hiring strategy that fits the AI era
Transparent pricing. No sales call required.
100% satisfaction guaranteeNo long contracts, and no fee payable if you are not happy with our results.
Trusted by
The problem
Everyone is using AI. Almost nobody is delivering faster because of it.
Most AI spend buys tools, not speed. A handful of engineers get real leverage, everyone else works the way they always did, and the delivery process around them never changed, so nothing compounds. Meanwhile hiring plans, job specs and review practices still describe a way of building software that is already out of date.
The blockers are rarely exotic. Which tools do we standardise on, what does good look like now, who do we hire, can the model run inside our own environment, where does our data actually go. Those questions need someone who has answered them inside a real delivery team, not a strategy deck.
Signals you will recognise
- AI tool spend keeps rising, delivery speed does not
- Everyone else seems to ship in days, a single feature takes you months
- Hiring good engineers in the AI era is a struggle
- Your delivery process is still framed as though AI does not exist
- The board keeps asking why AI is not making you money yet
The solution
Put a person who has already done it inside your team.
A senior engineer who is an AI expert, changing how your team builds, not another tool to buy.
Engagement model
Our FDEs work within your team, not as a supplier outside it.
Same standups, same board, same repos. What changes is that senior engineers who have solved your problem before are now doing the work alongside your team.
How it works
A senior engineer who has done this inside a delivery team, doing it inside yours.
A real person, with a name and a face, in your Slack, your standups, your repos and your planning. We change how the work is done: the delivery framework, the tooling everyone standardises on, the review and quality practices that keep the speed safe. Your team is taken on the journey, so the change sticks.
In parallel we handle the things that block adoption: what to run in your own environment, how to keep data resident and GDPR-safe, which roles you now need to hire, and the KPIs that show the board whether any of it worked. Flexible by design, from a day a week to full time for a push.
Outcomes
What our engineer actually does with your team.
A delivery framework that replaces the old SDLC
Proven ways of working for how software gets specified, built, reviewed and released now, adopted by your team rather than written down and ignored.
The right people in the right roles
Hiring for a traditional software developer is over. We help you redraw the roles, rewrite the specs, and assess candidates for how they actually work with AI.
Standardised tooling
One sanctioned set of tools for the whole delivery org, chosen for your stack, your budget and your data rules, with accounts, access and cost under control.
Board-level confidence
AI adoption KPIs that hold up in a board pack: usage by discipline, throughput and lead time, quality, and cost per team.
End-to-end AI capability, built with you
Where AI belongs in your product or your delivery pipeline, built together with your engineers so it is running and owned, not demonstrated.
The hard blockers cleared
Local and self-hosted model deployment, data residency, GDPR and audit questions answered concretely, so the ambitious work stops being blocked.
How we embed
Clear stages. You're in control.
Day one: inside the team
Repos, tooling, standups, planning. Our engineer sees how your team really works today and tells you plainly what is holding the pace back.
Week one: the first change in the way you work
One part of the delivery flow changed and measured, so the value is visible before you commit to anything longer.
Steady state: widen and measure
Tooling standardised, practices rolled out one discipline at a time, adoption KPIs reported weekly alongside what shipped.
Exit: your team owns it
Frameworks, playbooks and runbooks in your repos, your leads running the reporting, and a taper rather than a cliff.
Why Releaseworks®
A team you can trust with production.
Senior engineers, based in London
Over 20 years building and running production SaaS and business-critical platforms for global brands across finance, health, and retail.
Full-time, background-checked staff
No subcontractors, no offshore handoffs. The person on the kickoff call is the person writing the code.
Embedded with your team
We work in your repo, your tools, and your standups, so your engineers see every decision and keep the capability after we leave.
Trusted advisors, not vendors
Founders and CTOs keep us on speed-dial long after the engagement ends, because we tell them the truth and stay accountable for outcomes.
Technologies
Tool-agnostic. We have worked with all of it.
We do not sell you a tool. We pick what fits your stack, your budget and your data rules, then standardise your team on it. These are simply some of the technologies we have built with recently.
In practice
What working with us actually looks like.
A named senior engineer in the team, not a platform or an agent. A delivery team that ships more, with fewer people doing low-value work, and numbers that show it. Roles hired for the way software is actually built now, tooling standardised, and the data questions answered before legal asks.
- Your repos, your cloud, your data. Nothing moves to our tenancy.
- We change the way the work is done, not just the tools on top of it.
- Named engineer, UK-based, background-checked. No rotating bench.
- Adoption and delivery measured, so progress is a number, not a feeling.
- Day rate or monthly rate. Scale up for a push, down afterwards.
- We run working sessions per discipline so adoption is not left to chance.
FAQ
The questions we get before kickoff.
Wait, is this an AI tool or a person?
A person. A named senior software engineer, employed by us, working inside your team. The AI expertise is what they bring with them, they are not the AI.
We are only just starting with AI. Is it too early for this?
No, it is a good fit. Starting properly is cheaper than unpicking three years of habits later, and the flexibility means you are not signing up for months. Plenty of teams take an engineer for a day a week and scale from there.
How do we know it is actually working?
We agree adoption KPIs up front: usage by discipline, lead time and throughput, quality signals and cost per team. You get them reported weekly, in a form you can put straight into a board pack.
Can we keep models and data inside our own environment?
Yes. Local and self-hosted model deployment is normal work for us, and we map data flows first so residency, GDPR and audit questions have concrete answers rather than assurances.
Do you replace our engineers, or retrain them?
Neither, exactly. We work alongside them and change how the team delivers, so the capability stays with your people. Where the role mix needs to change, we help you hire for it.
How is this priced?
A daily or monthly rate depending on how much of the engineer you want. Answer a few quick questions on this page and you will see the numbers without talking to anyone.
Next step
Get an AI engineer on your team.
A few quick questions and you will see how our Forward Deployed Engineers work, who you get, and what it costs daily or monthly.