Embed a dedicated AI engineer in your team. Live in 14 days.
Reserved full-time capacity from a vetted AI engineer who works in your stack, ships from your priorities, and reports in writing. Your technical lead directs the work.
Haven't got one? We'll embed a Senior AI Lead alongside them.
From $3,000/month · 30 days' notice · You own all the code
Trusted by growing businesses and enterprise teams
You don't have an AI problem. You have an AI capacity problem.
You already know where the hours are going. The manual reporting, the data that gets rekeyed three times, the client onboarding that eats two days a week, the inbox that could half-answer itself.
What you don't have is someone to build it. And the obvious ways of getting that person don't fit.
Hire an AI engineer
£60–90k, plus recruitment fees, plus three months to find them and two more to ramp them up. The good ones are expensive and in demand. And you're committing to a permanent salary before you've proved the work pays for itself.
Bring in a freelancer
They build something clever, invoice, and move on. Six months later nobody knows how it works, and the person who wrote it isn't answering.
Ask your existing team
Your ops lead is now half a developer. Both jobs get done badly, and the one you actually hired them for suffers first.
Scope it as a project
Sometimes this is exactly right. If you know precisely what needs building and it has an end date, a fixed-price project is the cleanest way to buy it — and we build those too, as Codefully Engine. Embed is for the other case: when the work is continuous, the priorities move month to month, and what you actually need is capacity rather than a deliverable.
What you want is the engineer, without the five-month wait and without the permanent commitment.
Two ways to run it. The difference is who leads the work.
Every Embed client gets the same engineer, the same reserved capacity and the same terms. What changes is whether you're directing them, or we are.
Self-Managed
For teams with a technical lead in-house
You already have a CTO, a technical founder, a lead developer or a head of operations who can set direction and review what comes back. So we stay out of the way. Your engineer joins your team, takes your briefs, works in your stack and reports to your lead — the way a new hire would, without the five-month wait to get one.
- Dedicated AI engineer, ~160 hrs/month reserved
- Matched to your stack and your problem — you meet them before you commit
- Works in your tools, your workspace, your standups
- Free re-match if the fit is wrong
- You own all code and IP
Chosen by teams who know what they want built and need hands to build it.
Fully Managed
For teams without a technical lead — or without one who has the time
Same engineer, plus the two roles that make them productive when nobody on your side can write a technical spec. You describe what the business needs in plain language; we handle everything between that and working software.
- Senior AI Lead — turns your priorities into build-ready briefs, sets the architecture, reviews every piece of work before it reaches you, and tells you when a request isn't worth building
- Customer Success Manager — owns the relationship and the process: onboarding, weekly written summaries, chasing approvals, keeping the roadmap current
- The Brief Standard — every request converted into a seven-field specification within two business days
- Monthly async strategic review
Chosen by teams who know the outcome they want but not how to ask for it.
Not sure which you are? Say so on the application and we'll tell you straight. Plenty of teams start Self-Managed and add the lead layer later when the backlog outgrows their tech lead's time — you can move between them at any monthly cycle.
From "we should automate that" to shipped, in five steps.
The same loop every week. No standing calls required.
You apply, we scope
A short form, then one 30-minute call. We work out what you'd put an engineer on for the first 90 days, whether you need the lead layer, and whether this is genuinely a retainer or actually a one-off build. If it's a one-off, we'll tell you and point you at the right thing.
We match your engineer
Matched on your stack and your problem, not a CV lottery. You meet them before you commit.
They embed — inside 14 days
Into your tools, your workspace, your context. You get one shared workspace and one async channel. Day one, they're building.
You set priorities
Your technical lead briefs them directly and reviews the work, the same as any team member.
You ask in plain English. Your Senior AI Lead writes the technical brief within two business days, the engineer builds, and the Lead reviews it before it reaches you.
You get a written record, every week
A weekly summary and a recorded demo. A live roadmap you can see any time. Change your priorities whenever you like — that's the point of a retainer.
The reason the managed path works: nobody guesses.
Most AI projects fail on the brief, not the build. Somebody asks for "automated reporting", an engineer builds their interpretation of it, and four weeks disappear.
On Fully Managed, every request is converted into the same seven-field brief before a line of code is written:
What changes in the business when this exists
How it works today, and who touches it
The data and systems it needs
What lands, where, in what format
How we both know it's done
Security, compliance, systems we can't touch
Where it sits against everything else
You don't write it. Your Senior AI Lead does, from a conversation in plain language, within two business days.
On Self-Managed your own technical lead writes the briefs — but the template is yours to use, and we'll walk them through it during onboarding. It's the single biggest predictor of whether an embedded engineer ships anything useful in month one.
What your engineer will actually ship
Client delivery
Onboarding workflows, automated status reporting, deliverable QA, project setup from a signed contract.
Sales and pipeline
Lead enrichment and scoring, proposal drafting from discovery notes, CRM hygiene, follow-up sequencing.
Operations
Data flowing between systems that don't talk to each other, approval routing, recurring reports that build themselves.
Internal AI tools
A private assistant trained on your SOPs and past work, document generation, research agents.
Finance and admin
Invoice and timesheet processing, reconciliation, renewal and margin alerts.
If it's repetitive, rules-based and eating your team's week, it's in scope. If it's a large fixed-scope build with a defined end date, that's Codefully Engine — a different offer, and we'll say so rather than stretch this one to fit.
Compare it to what you'd otherwise do
| Codefully Embed | In-house AI hire | Freelancer | Fixed-scope project | |
|---|---|---|---|---|
| Time to productive | 14 days | 3–5 months | 1–2 weeks | 4–8 weeks |
| Monthly cost | From $3,000 | £60–90k salary + oncosts | Unpredictable | Priced per project |
| Recruitment cost | None | 15–25% of salary | None | None |
| Technical leadership | Yours, or ours | Yours | Yours | Ours |
| Change priorities mid-month | Yes | Yes | Sometimes | Change request |
| Best for | Ongoing capacity | Permanent core capability | One-off tasks | A defined build with an end date |
| If it isn't working | 30 days' notice | Redundancy process | Varies | Contracted scope |
| Who owns the IP | You | You | Check the contract | You (with Codefully Engine) |
| Continuity when they leave | We replace them | Start again | Start again | N/A |
One monthly retainer. No recruitment fee, no payroll, no notice-period risk.
That's a dedicated AI engineer with reserved full-time capacity, embedded in your team, directed by your technical lead.
If you need us to bring the technical leadership as well — Senior AI Lead and Customer Success Manager — that's the Fully Managed path, and we'll price it on the call once we know the shape of your backlog. It still comes in below the loaded cost of hiring an AI engineer and a lead of your own.
- Reserved engineering capacity — never a shared or split resource
- Matching, onboarding, and free re-match if the fit is wrong
- Shared workspace, live roadmap and recorded demos
- Full IP ownership on payment
- No recruitment fee, no payroll, no employment admin
Long enough to ship something real, short enough that we have to keep earning it
No annual lock-in, no cancellation fee
If the fit is wrong, we re-match at our cost
This works best for...
- You're a 20–100 person service business or agency
- You've got a backlog of things you'd automate if you had someone to build them
- You want ongoing capacity, not a single project
- Either you have a technical lead who can direct the work, or you're happy for us to bring one
- You need one fixed-scope build with a defined end date → that's Codefully Engine, and we'd rather point you there
- You want 24/7 infrastructure cover or general non-AI staffing
- Nobody on your side can spend 30 minutes a week setting priorities — true on both paths. Fully Managed removes the technical work, not the decisions.
Before you apply.
Apply for a capacity slot
We take on a limited number of Embed clients at a time, because every one gets reserved engineering capacity. Tell us what you'd build first and we'll tell you straight which path fits — or whether you want something else entirely.
- We reply within one business day
- No obligation, and no deck
- If we're not the right fit, we'll say so and tell you who is