A manual workflow eating hours
Your team runs it by hand every week — reporting, onboarding, chasing, research. It works, but it costs the same hours over and over. We turn it into a working AI automation.
We finish your half-built app — or turn a manual workflow into working AI. A real product, live in 10 working days, built on what only you know about your business.








Your team runs it by hand every week — reporting, onboarding, chasing, research. It works, but it costs the same hours over and over. We turn it into a working AI automation.
You got 70% there with Claude or ChatGPT. It almost works — but shipping it properly, for the whole team, is the wall. We finish it.
You know exactly what you need. Maybe there's a spec, maybe a sketch. What's missing isn't the idea — it's a team that ships. We build it.
The goal is simple: get something real into your team's hands and start saving time immediately — not a guess on a whiteboard. You stay in control the whole way, and we take the heavy technical load.
Worked example. 10 hours a week of skilled time — valued around $100/hour — is roughly $50,000 a year. A single 10-day sprint pays that back in weeks, not years.
If you run the business, know the workflow, and want the thing built — this is for you. You don't need to be technical. That's our job.
You hold the vision and the workflow in your head. We turn it into a working product.
You feel the manual work every week. We automate the process that's costing you.
You own a process that eats hours. We hand you the tool that runs it for you.
You've got the idea and the clients. We build the thing you deliver.
I'm filming a real AI build from start to finish — the plan, the decisions, the build itself, and the testing. No polished highlight reel. Watch it, and you'll know precisely what you're signing up for.
Ten focused working days on your build. Two things happen at once — you learn the thinking behind a real AI system, and we build your product for you.
Working sessions on the decisions that shape a real AI system — what's possible, where your data lives, which models, what it costs. You come out fluent, not just served.
Your workflow becomes a working AI product — built by our engineer, shaped by your expertise. You bring the knowledge of your business; we write every line of code.
Two things happen at once. You sit in on live sessions that show you how a real AI system gets decided and built — and in parallel, our engineer builds your workflow or workflows into a working product, for you. You finish with the knowledge and the thing itself. The three sessions below are yours; your build runs alongside them, done by us.
We open together: how to think about your workflow, the user experience, and what AI can realistically do. You leave knowing exactly what to aim for.
The leadership-level technical calls, in plain terms: where your data and memory live, which AI models to use, and how to keep running costs low. Understand it without being technical.
We walk through the finished build together — how it works, how to run it, and what the obvious next moves are for your team.
The sessions are where you learn — the only scheduled moments in the sprint. Around them, your product is being built for you the whole time, with updates you review on your own schedule.
We kept having the same high-level conversations about AI — the audit, the roadmap, the return-on-investment on paper. All useful. None of it real until something ships. So we built a way to skip to the proof.
Most teams underestimate what AI can do for their exact work. The fastest way to understand it is to see it running on your own workflow.
No six-figure commitment, no six-month roadmap. One workflow — sometimes two — a fixed scope, and real value in days — the safest first step into AI there is.
Great AI ideas die as prototypes and demos. We exist to get them the final stretch — shipped, deployed, and in real use.
There are dozens of ways to solve a workflow with AI. The sprint is how we show you the right one — for your business, not a generic case study.
The tools are real and getting better — you could learn to do this yourself. But there's a wide gap between a weekend in ChatGPT and a product your team actually relies on. Closing it yourself takes months, not days. Here's the honest comparison.
Every prospect researched, enriched, and briefed before the call — automatically. Your team walks in prepared, every time.
New client signs → documents, kickoff pack, and internal setup happen on their own. No one works late to onboard.
Pulls the numbers together and drafts the report. The Friday reporting scramble becomes a ten-minute review.
From discovery notes to a branded, priced proposal draft in minutes. Your senior people edit — they don't assemble.
CVs parsed, matched against the brief, shortlisted with reasons. Consultants spend time with people, not PDFs.
Unpaid invoices and unanswered quotes chased politely and on schedule — without anyone keeping a list.
Yours isn't on this list? That's normal — most builds aren't. These show the shape and size of a 10-day build: one or two focused workflows, real hours back. Scoping is where we find yours.
We'd rather show you a working AI product than a stack of tech audit and strategy slides.
This is done with you — but the split is simple: you bring the subject-matter expertise, we bring the technical AI know-how. You map the workflow, bring the detail only you know, and sign off before it ships. You won't write a line of code, and you don't need to. Your input is light and asynchronous — and it's what makes the thing actually fit how your team works.
You know your business — the workflow, the edge cases, what "good" looks like. We know how to build it with AI, fast and properly. Your build runs async — by email and message, on your schedule. The only live moments are your three working sessions. You won't write a line of code, and you don't need to.
Async build, live learning — your build runs by email and message on your time; the only scheduled moments are your three working sessions.
Yours to make — the workflow, the build direction, and the go-live are all signed off by you.
The domain knowledge — the detail and judgement no engineer can guess at. That's what makes it yours.
This isn't a team you hand a brief to. It's a small pod built around your sprint for 10 days — with you — the subject-matter expert — at the centre of it.
You're the product owner in the room — the domain knowledge and the decisions. The workflow, the build direction, and the go-live are all yours to shape and sign off.
One engineer on your build, hands on the keys every day — building with you, not away from you.
Sets the architecture before a line is written, so it's built right the first time.
Sends your daily update, gathers your feedback, keeps momentum. Your single point of contact.
Between us, we've built 300+ tech products, taught at the Tata Foundation, come from Goldman Sachs, Nomura, Barclays and Accenture, and delivered transformation programmes for Sony, Deloitte, Grant Thornton, Universal Pictures and Sapient. That's how we scope tightly, decide fast, and protect a 10-day timeline.

Ex-Goldman Sachs and Accenture — delivering technology transformation for global enterprises before founding Codefully.

Has built 300+ tech products and teaches at the Tata Foundation.

20+ years experience in Creative Media, Legal, Tech, and Financial Services across global organisations including Universal Pictures, Sony, and Atomico.

Your single point of contact — sends daily updates, gathers feedback, and holds momentum from kickoff to handover.

12+ years in studio ops and delivery, working across brands like Deliveroo, Sky and Mercedes.

7+ years building and scaling data-driven systems. Leads end-to-end solutions from LLM pipelines and RAG architectures to agentic workflows.

A bench of AI engineers and specialists behind every sprint. Meet the team →
10 days is a real constraint, so scope is everything. We agree exactly what's being built before we start — and you control it.
You tell us the workflow, the pain, and the must-haves. Short, structured, and the basis for everything that follows.
We break what you want into features and put an estimated build-points cost on each — a clear, honest read of effort inside 10 days.
You pick what goes in, by points, to fit the 10 days. What fits, ships. Everything else goes on the phase-two list — ready when you are.
Want us to keep it hosted, monitored, and maintained beyond handover? That's an optional care plan — so the product keeps working without anyone on your team thinking about it.
OPTIONAL CARE PLANPhase two — deeper features, integrations, scale — gets scoped from your live product and real usage, not a guess. Most builds tell you exactly what to build next.
SCOPED AFTER LAUNCHA dedicated AI engineer on your build, three working sessions, a fixed scope agreed upfront — and something your team can actually use at the end of it. Tell us about the workflow and we'll come back with full details and a short scoping step to make sure it's the right fit. No obligation, straight answer.