AI & Workflow Automation

Automate the Work That's Eating Your Hours

Every business runs on invisible manual work — copying data between systems, chasing follow-ups, processing documents, routing enquiries. It doesn't show up on any invoice, but it costs you a salary's worth of hours a month. AI automation is how you get those hours back.

At Codified Studio, we map the workflows quietly draining your team's time and automate them — connecting your existing tools, adding AI where it earns its place, and building custom automations where off-the-shelf can't reach. Practical, measured in hours saved, built by a real in-house team.

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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:

A workflow audit — we find where the hours are actually going
A prioritised automation roadmap, ranked by hours saved vs effort
Automations built on Make, n8n, or custom code where needed
AI steps — extraction, summarisation, classification, drafting
Integration across your existing tools via their APIs
Monitoring, error handling, and documentation so it keeps running

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.

No-code/low-code (Make, n8n) for fast, maintainable connective automation
Custom Node.js or Python services where the logic needs it
AI steps powered by OpenAI and Anthropic APIs, scoped to save the most time
Robust error handling and alerts — so a broken automation tells you, loudly

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

Teams buried in repetitive admin
Businesses running data between disconnected tools
Ops leads who want to scale without more headcount
Anyone processing documents or enquiries by hand

How We Deliver — From First Call to Launch (and After)

No black box. Here's exactly what happens once you bring us in:

01

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.

02

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.

03

Design & architecture

Wireframes, UI, and the technical architecture — database schema, API design, hosting — agreed up front so there are no expensive surprises mid-build.

04

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.

05

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”.

06

Launch & handoff

Deployment, performance checks, and a walkthrough. You get the source code, the hosting, and the documentation — full ownership, zero lock-in.

07

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.

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How Much Does AI Automation Cost?

AI automation cost depends on how many workflows you automate and how deep they go. For reference:

OptionTypical 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 Studiofrom $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.

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FAQ

Frequently 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.

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.

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