What AI Automation Actually Means for a Business
AI automation isn't a robot taking over your company — it's software doing the repetitive, rules-based work your team shouldn't be spending its day on. Some of it is classic workflow automation (when a form comes in, do these five things). Some of it is genuinely AI: reading an invoice and extracting the figures, summarising a support thread, categorising enquiries, drafting a first-pass reply. The goal is always the same — fewer hours on admin, fewer things falling through the cracks.
What We Automate
Lead & enquiry routing.
New enquiries captured, enriched, scored, and routed to the right person or CRM — instantly, day or night, with the follow-up sequence already moving.
Document & data processing.
Invoices, forms, PDFs, and emails read by AI, the data extracted and filed where it belongs — no more manual copy-paste between systems.
Systems that talk to each other.
Your website, CRM, accounting, email, and spreadsheets connected so an event in one triggers the right action in the others — automatically.
AI where it earns its place.
Summarising, categorising, drafting, and answering — LLMs from OpenAI and Claude dropped into the exact steps where they save the most time.
What's Included in an Automation Project
A typical AI automation engagement covers:
If a chatbot is part of the picture — automating customer conversations too — pair this with our AI chatbot development.
Off-the-Shelf Where It Fits — Custom Where It Doesn't
Not every automation needs custom code, and not every workflow fits a no-code tool. We use the right layer for the job: platforms like Make and n8n for the connective tissue, and real code where the logic is too specific or the volume too high for a drag-and-drop builder.
The trap with automation is building something clever that silently breaks in three weeks. We build for reliability first: monitored, logged, and documented, so it keeps saving you hours long after launch. Read our take on where AI genuinely pays off in business operations.
Ideal For
“Our volunteers ran everything on paper registers for years. With the app Codified built, finding an eligible donor takes seconds instead of hours. This work is saving lives in Baltistan.”
AI AutomationWe've Actually Shipped
Live projects, real clients, and the full story behind each build — the problem, the decisions, and what changed afterwards.
How We Deliver — From First Call to Launch (and After)
No black box. Here's exactly what happens once you bring us in:
Discovery & scoping
A real conversation about the problem, the users, and the constraints — not a sales call. We leave it knowing exactly what needs building and why.
Fixed proposal & quote
You get a plain-English scope document, a timeline, and a fixed price. What's included, what's excluded, and what happens if scope changes — all in writing before any money moves.
Design & architecture
Wireframes, UI, and the technical architecture — database schema, API design, hosting — agreed up front so there are no expensive surprises mid-build.
Build in sprints
Development happens in short, reviewable cycles with a shared board. You see working software early and often, not a single black-box handoff at the end.
QA & testing
Every feature is tested — automated tests plus manual QA on real devices — before it's marked done. Nothing ships on a “works on my machine”.
Launch & handoff
Deployment, performance checks, and a walkthrough. You get the source code, the hosting, and the documentation — full ownership, zero lock-in.
Support & iteration
We stay on for bug fixes, monitoring, and new features on a retainer or ad-hoc basis — whichever fits how your product will actually grow.
How Much Does AI Automation Cost?
AI automation cost depends on how many workflows you automate and how deep they go. For reference:
| Option | Typical range |
|---|---|
| UK automation agency — retainer | £1,500 – £6,000 / month |
| Enterprise RPA (licences + build) | £20,000 – £100,000+ |
| Single workflow (freelance) | £500 – £3,000 |
| Automation project via Codified Studio | from $900 |
The cheapest quote on paper isn't always the cheapest in practice — a low day rate that needs heavy management, or a build that needs redoing, costs more than a fixed scope delivered right the first time. With Codified Studio, pricing is transparent from the first quote: no hidden onboarding fees, no surprise scope creep, and full code ownership at the end. See the work we've delivered or tell us what you're building.
Get a Tailored QuoteFrequently Asked Questions
That's exactly what the workflow audit is for. We look at where your team's hours actually go, then rank candidates by hours saved against effort to build. You get a roadmap, and we usually start with the highest-return, lowest-risk automation to prove the value fast.
Both — whichever fits. Platforms like Make and n8n are perfect for connective automation and are easy to maintain. When the logic is too specific, the volume too high, or the cost-per-run adds up, we build it in custom code instead. We optimise for what's reliable and cheapest to run over time, not for one tool.
In the steps where rules aren't enough — reading an invoice and pulling the figures, summarising a long email thread, categorising an enquiry, drafting a first reply. We drop LLMs into those specific steps, not everywhere, so you get the benefit without paying for AI where a simple rule would do.
Projects are priced in USD and invoiced via Payoneer or Elevate Pay — no international wire fees, no currency surprises. Fixed-price projects run 50% deposit to start, 50% on delivery, against a plain-English scope document agreed before any money changes hands.
For the workflows we usually start with, inside a few months — and the audit is designed to make that calculable rather than a matter of faith. If a task takes someone four hours a week and automating it costs a low four-figure sum once, the arithmetic is not subtle. The ones that do not pay back are usually low-frequency, high-variance tasks where a human judgement call sits in the middle; we flag those in the roadmap as deliberately not worth automating rather than quietly building them anyway.
It tells you, loudly — which is the single biggest difference between automation that survives and automation that quietly corrupts data for three weeks. Every workflow we build has explicit error branches, retries with backoff for transient failures, and alerting to a channel a human actually reads. Failed runs are logged with enough context to see what went in and what came back. We would rather a workflow stop and shout than continue and guess.
Related Services
Would a dedicated developer suit you better?
A fixed-scope project works best when you know what you need built. If the work is ongoing, or you already have a team that just needs more capacity, embedding one of our developers full-time is usually the cheaper route.
Ready to start your ai automation project?
Tell us what you're building and we'll come back with a scoped recommendation and a fixed quote — not a generic sales call.