Dedicated AI development teams
Start with one AI engineer.
Scale to grow savings.
A dedicated AI team works only on your business. It learns how you operate, builds AI tools that take manual cost out of your operations, and runs them in production.
Part of your business, not a supplier to it.
Most AI vendors work at arm’s length: you write a brief, they build to it, and they hand it over. Our teams work inside your business. They join your meetings, learn your processes and your data, and talk to the people doing the work. That’s how they find the savings a brief never mentions, and how they build tools your people actually use.
Every team works exclusively for you, on your hours, with your tools. It stays as long as there’s work worth doing, maintaining what it has built and moving on to the next process.
Every role the work needs,
and none it doesn't.
You don’t have to fill a fixed org chart. Start with the roles your first build needs, and add others as the roadmap grows.
AI engineers
Build the AI itself: the models, prompts and agents, and the checks that catch what AI gets wrong.
Developers
Build the software around the AI: the backend, the connections to your existing systems, and the screens your people work in.
Tech lead
Leads the engineers day to day, makes the technical calls, and reviews what ships.
Architect
Designs the foundations, so that as the number of tools grows they stay secure, reliable and easy to maintain, and your data stays where it should.
Business analyst
Maps your processes and data, finds where the money is, and turns it into work the team can build.
Project manager
Runs the sprints, keeps delivery on track and is your day-to-day point of contact.
Designer
Makes the tools quick and clear for your people to use. A tool nobody adopts saves nothing.
QA engineer
Tests every release, with more cover during releases and less during build phases.
Most teams start with one or two engineers. Part-time roles such as project management, QA and design are charged pro rata, so you only pay for what the team needs at each stage.
US mortgage lending
From three developers to $175,000 a month in nine months.
A high-volume US mortgage lender processing thousands of loans a month came to us after a previous vendor had spent $84,000 and three months without delivering anything usable. Building an AI team in California cost too much to consider. They started small.
The start: three developers and one target: a core document review that took credentialed staff 45 to 50 minutes per file.
The first tool: an AI review assistant cut that review to 15 minutes. At the lender’s volume, it saved more than $40,000 a month and paid for the whole engagement.
As the tools proved themselves: the team grew to more than ten people, including a tech lead and a project manager. The savings from each tool paid for the next.
Under nine months: more than 12 AI tools were in production, covering compliance, document generation, pricing and valuation. They save $175,000+ a month across three core workflows.
What the team built
- AI review of documents and appraisals, including scanned pages, photos and forms
- A real-time queue and workspace where underwriters make the final decision
- Checklist-driven verification that the lender’s own experts can edit, with live guideline lookups
- A cloud backend built for review at volume
- Direct integration with the lender’s loan origination system
“I view these solutions as permanent replacements for legacy processes, not a series of projects, but an operating model that will require ongoing investment, maintenance, and iteration for years. What Offshorly has built with us is not a vendor relationship. It’s a technology function.”
AI that earns its place.
You choose what the team builds, and you measure what it changes: the new process against the old one. If AI isn’t the right answer for a problem, we’ll tell you before you spend anything on it.
In your operations
Work that’s high-volume, follows rules and is expensive to do by hand:- Document, file and compliance review
- Data extraction from messy documents into your systems
- Document generation that currently goes to staff or outside providers
- Pricing, valuation and other checklist-driven decisions
- Workspaces and queues that let your people make the final call quickly
- Agents that take on routine admin
In your product
For startups and software businesses building AI into what they sell:
- Conversational assistants
- Search and answers over your own data
- Classification at scale
- Generative tools
- Agentic workflows built into the core of the product, not added on the side
We’ve put AI into production across mortgage lending, logistics, ESG reporting, recruitment, customer service and AI-native products.
Prove it on one process.
Then build the team.
1.
Free ROI consultation
We look at your operations and find the manual process that costs you most each month. If there isn’t one worth automating, we’ll say so.
2.
A proof of concept in three days
We build a working tool on that process, at a fixed price agreed up front, and cost the before-and-after in your own numbers.
3.
We assemble your team
We agree the roles and seniority the work needs. Every candidate has been through our AI training and assessment programme, and you meet everyone before they join. Most teams are operational within weeks.
4.
First tool in production
The team builds the first tool into your systems, and you measure the difference it makes against how the work ran before.
5.
Grow, scale, adjust
Add roles as the roadmap grows, or scale down when the work slows. If someone isn’t the right fit, we replace them at no cost, and the knowledge stays with the team.
The system behind every team
Your team doesn’t start from scratch. It starts from everything we’ve learned.
Anyone can hire developers who use AI. What you get from us is a team that develops to a proven standard, with continuous training built in, so it doesn’t miss a beat when people change.
A dedicated AI R&D team
Four people whose only job is testing models, tools and ways of working. When they find something better, it reaches every team, including yours.
Playbooks, not personal habits
Our tested workflows cover which models handle which work (weighing cost as well as quality), how work is set up so agents can take it on, and the quality checks that catch mistakes before they ship. In our own team they produced a measured 40–60% productivity gain.
Continuous training, built in
Every engineer, designer and QA comes through our training and assessment programme before they join, and we assess where each person lands rather than assuming. Training doesn’t stop there: every improvement our R&D team finds is added to the playbooks and the training programme, so your team’s skills stay current as models and tools change. We built the training platform ourselves in a month, using the playbooks it teaches. The result: 100% of our development team builds with AI.
A person accountable for every output
Agents do the volume, and a named developer owns the result. That rule is built into how the team works, which is why speed hasn’t cost us quality.
Proven on our own business
We run Offshorly on tools built this way. Atlas, our internal platform, manages pipeline, delivery, finance and people, with agents acting on what it finds. Zunou, an agent platform we develop, handles much of our routine operational work. You won’t be our test case.
Yours to keep
The playbooks live in GitHub, and your team works from them from day one. We hold nothing back to keep you dependent on us.
You always know where things stand.
A project manager and an account lead
The project manager keeps delivery on track sprint to sprint. Your account lead is British, comes from our UK leadership team and is your single point of escalation.
Two-week sprints with demos
You see what’s been built, what’s next and what changed, every two weeks.
Full visibility
You get GitLab access, the Jira board, daily standups and regular catch-ups. If something isn’t working, you hear it from us first.
Your hours, your tools
Our team works from the Philippines, under UK leadership. Its hours overlap with the UK, the US and Australia, and it works inside your tools and processes rather than alongside them.
Backed by the whole of Offshorly
Your team can call on our senior specialists, architects and the AI R&D team for support, peer review and mentoring.
Your code, your IP, your data
Everything the team builds belongs to you from day one. You decide what data the AI can access and where it’s processed. Every change is peer-reviewed and security-scanned before it reaches you.
One fixed monthly fee. No hiring costs.
From $4,500 per team member per month
Each team member is on a fixed monthly rate, depending on role and seniority. Part-time roles are charged pro rata. You can start with a single engineer.
Included in every team:
- Recruitment, training and assessment
- Project management and British account management from our UK leadership team
- Replacement at no cost if someone isn’t the right fit or moves on
- Every improvement from our AI R&D team
- Continuous training, built in, not a one-off onboarding
- No recruitment fees, no HR overhead, and no notice periods to manage
Starting from nothing? The ROI consultation is free, and the proof of concept is quoted at a fixed price before we start.
Already have a team?
We'll train it to the same standard.
If you have good developers whose AI use is inconsistent or unmeasured, we can bring them onto the same playbooks and training our own teams use. Some clients do both: they train their existing team and add our engineers where there’s a capacity gap. Your people get more valuable, which is its own retention argument.
Baseline: we measure how your team builds today, so any improvement is a number rather than a claim.
Playbooks: we set one standard for AI use across the team: which models do which work, how work is set up for agents, and the quality checks.
Train and assess: the whole team goes through the programme, not just the keen few, and we assess where each person lands.
Measure: we stay close while it beds in and measure against the baseline. We won’t quote you a productivity figure until we’ve measured it.
Right for some businesses.
Not for others.
This is for you if:
- You have high-volume manual work, or an AI product roadmap, that you can put a cost on
- You have the budget for a dedicated team. Our AI clients range from funded startups to established mid-sized businesses.
- You want capability that lasts and grows, not a one-off project
- You’ve tried to hire for this, or a vendor hasn’t delivered
- Someone senior in the business will own the outcome
Probably not the right fit if:
- You need one fixed piece of work built and handed over. Our custom software and prototype services suit that better.
- You want a chatbot so the pitch deck can say “AI”
- Your processes are low-volume, so the savings won’t add up
- You expect AI to replace your people rather than change what they spend their time on
Not sure which applies? Tell us in the form below. We’ll point you the right way, even if that isn’t us.
What long-term clients say
Every review is independently verified by Clutch. We’re rated 4.9 out of 5 across 27 verified reviews, and were named a Clutch Global Award winner for Custom Software Development in Summer 2026. Read more reviews
“Offshorly comes up with ideas before we even think of them and acts almost as an in-house development team.”
“Their engineers have integrated seamlessly into all of our teams, and they work quickly.”
“They were like a genuine extension of our business, and they are genuinely nice people.”
Questions people ask before building an AI team
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What is a dedicated AI team?1
It’s a team of AI engineers and developers, plus whatever other roles the work needs, that works only on your business. It builds AI tools for your operations or your product, runs them in production and keeps improving them.
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How small can we start?2
With one engineer. Our mortgage lending client started with three developers and grew to a team of more than ten as each tool proved its value.
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How quickly can a team start?3
Most teams are operational within weeks. Before that, the free consultation and a three-day proof of concept show you whether it’s worth doing. Your core engineers are assigned first, and you meet everyone before they join.
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What does it cost?4
From $4,500 per team member per month, on a fixed monthly fee. Part-time roles are charged pro rata. The consultation is free, and the proof of concept is quoted at a fixed price up front.
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Why build the team with Offshorly instead of hiring?5
Hiring for AI is slow and expensive, and it’s hard to judge who’s really good. Whatever capability you do hire tends to sit with one or two people. Our engineers arrive trained and assessed, work to a shared set of playbooks, and are backed by an R&D team. If someone leaves, the capability doesn’t leave with them.
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Why is the team in the Philippines?6
It has experienced, English-speaking engineers whose working day overlaps with the UK, the US and Australia. We’ve built our team there since 2014, under UK leadership, with British account management: your account lead comes from that leadership team. That combination makes a full, dedicated team affordable for businesses that couldn’t justify one onshore.
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What happens if someone leaves?7
We replace them, and you don’t pay for the gap. Because the team works from shared playbooks and documentation, the knowledge stays with the team, and a new person reaches the same standard quickly.
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What stops our newly trained people being poached anyway?8
Nothing stops it entirely, and anyone telling you otherwise is selling. What changes is the cost when it happens. Today, losing your one AI-capable developer sets you back months. With the workflows written down and the training and assessment programme in place, the next person reaches the same standard in weeks. There’s also a retention argument in the other direction: developers tend to stay where they’re getting better, and this makes them measurably better.
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Can your team work alongside our developers?9
Yes. Some clients add our engineers to their own team, and some have us train their developers as well. Either way, everyone works to the same playbooks.
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Isn’t this just training developers to use Copilot?10
No. If that’s all you need, don’t pay us for it: your team can learn the tools themselves. The hard part is the layer above: which model handles which work and at what cost, how to set work up so agents can take it on, and the quality checks that stop speed costing you accuracy. That’s what our teams bring.
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How will we know it’s working?11
You measure the difference: the new process against the old one. When we train an existing team, we measure a baseline first, so any improvement is measured, not claimed.
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Where does the 40–60% figure come from?12
Our own development team, measured against how they worked before these workflows. It’s a real internal number, not a market statistic. We won’t promise you the same figure before we’ve seen how your team builds today, which is why the first thing we do is baseline. If the uplift for your team turns out to be smaller, you’ll hear that from us rather than find it out yourself.
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Who owns the code and the IP?13
You do, from day one, with full access to the repository and the project board.
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What if AI isn’t the right answer?14
We’ll tell you. Some processes are better fixed another way, or left alone. We’d rather say that at the consultation than build something that won’t pay back.
Tell us what's costing you the most.
A rough idea is enough. We’ll reply within one business day with an honest view on whether an AI team would pay for itself, and what the first step would cost.
- Free ROI consultation
- An honest assessment, even if we’re not the answer
- Fixed monthly pricing, no hidden costs
- UK-led since 2014
No lengthy process.