AI Automation Services

AI Automation Services That Take the Repetitive Work Out of Marketing

Custom LLM-powered agents and workflows built around the marketing operation — research, content pipelines, on-site AI, lead qualification and reporting. We automate this function because we run it: SEO, social and websites for brands across the UK, USA, UAE, Australia and Pakistan.

Get a Free Automation Audit See What We’ve Built

Fixed-fee audit · 30-minute call · Blueprint is yours either way

12+ years in digital marketing · Clients across five markets on four continents

✓ Built In Your Accounts, Not Ours ✓ Your Data Never Trains Public Models ★★★★★ Trustpilot 5.0 ★★★★★ Google 4.9 ★★★★★ Clutch 4.7

Close-up of a marketing metrics dashboard showing click-through rate, cost per conversion and quality score — Built inYour stack

Trusted By Brands Across UK, USA, UAE, Australia & Pakistan

Praxis42

Riviera Travel

Octopus Energy

Legal & General

LAITHWAITES

Zebra

Hatfield Park

gsk

British Business Bank

TUMS

Startup Loans

SENSODYNE

RedHeads

Amber

AMTIVO

“I’ve been hugely impressed with the digital marketing knowledge and expertise from the Ghalib Ashrafi team. Fantastic results, month after month.”

As featured on…

Coverage earned for our clients through digital PR — the campaigns these systems help run at scale.

yahoo! finance

MarketWatch

BUSINESS INSIDER

Bloomberg

REUTERS

BENZINGA

canoe.ca

News

DOW JONES

barchart

FOX 40

Struggling With Any of These?

Nobody wants “AI”. They want a specific job to stop eating a specific number of hours every week.

Leads Arrive And Sit There

Enquiries waiting hours or days for a first reply
Nobody qualifying them before they reach a salesperson
Good leads and time-wasters treated exactly the same

02
The Same Work, Every Single WeekHours pulling numbers into the same report
Rewriting the same content for four channels by hand
Copy-pasting between systems that should talk to each other

You Bought AI Tools Nobody Uses

Subscriptions renewing for things opened twice
Generic output that always needs full rewriting
No one owns it, so it quietly stopped being used

Nobody Knows Where The Data Goes

Staff pasting customer information into free chatbots
No policy, no logging, no idea what was shared
A compliance question you cannot currently answer

An Agency Built It And Left

Workflows on their accounts, not yours
No documentation and nobody who understands it
It broke when something upstream changed and stayed broken

Growth Means Hiring, Every Time

Twice the enquiries needs twice the admin
Marketing output capped by hours, not ideas
Senior people spending their week on repetitive tasks

The Service

What’s included in our AI automation services

Three stages, priced separately so you are never buying the next one blind — audit what is worth automating, build it, then keep it working.

Automation Audit & Blueprint

We map where the hours actually go, score each task on volume, repetition and error cost, and rank what is worth automating. You get a written blueprint with estimated hours saved — yours to keep whether you build with us or not.

Custom Agent Development

LLM-powered agents built for your workflow, not a template with your logo on it. Prompt design, tool access, guardrails, evaluation against real examples from your business.

Systems Integration

Connecting the tools you already pay for — CRM, forms, inbox, WhatsApp, analytics, CMS, ad platforms — so work moves between them without a person as the copy-paste layer.

Human-In-The-Loop Design

Approval steps on anything customer-facing or irreversible, confidence thresholds that route uncertainty to a person, and an off switch a non-technical person can reach.

Data Handling & Compliance

Documented decisions on which model sees which data, contractual no-training terms, and open-weight models in your own environment where a workload should not leave it.

Evaluation & Testing

Every agent scored against a real test set from your business before it goes near live work, then monitored for drift. “It seemed fine in the demo” is not a standard.

Training & Documentation

A recorded walkthrough of your actual workflows, written docs, and a named person on your side who knows how to change a prompt without breaking anything.

Run, Monitor & Improve

Optional monthly retainer: uptime and cost monitoring, model updates, prompt tuning as your business changes, plus a set amount of build time for the next workflow.

Scope

Nine places automation actually pays for itself

All six sit inside marketing and customer acquisition — the function we run for clients every day. That is the whole reason we can tell which steps are safe to automate and which are not.

Research & Monitoring

Keyword and SERP tracking, competitor content alerts, content-gap detection, brief generation, and monitoring whether AI assistants cite your brand. The work that has to happen weekly and rarely does.

Feeds · SEO · Content planning

Content Pipelines

Brief to draft to brand-voice pass to a human editor to scheduled. One asset repurposed natively across channels, plus bulk metadata, alt text and internal linking.

Feeds · SEO · Social media

On-Site AI Features

Assistants trained on your own content rather than the open web, product finders, quote calculators and site search that answers instead of listing links.

Feeds · Website · Conversion

Lead Qualification & Routing

Every enquiry read, enriched, scored against your real criteria, routed to the right person and answered within a minute. Usually the workflow that pays for the entire project.

Feeds · Sales · Every channel

Response & Follow-Up

Inbox, DM, WhatsApp and review triage with drafted replies, escalation rules for complaints, and follow-up sequences that stop the moment a human takes over.

Feeds · Social · Reputation

Nurture & Personalisation

Email and SMS sequences triggered by what someone actually did rather than a fixed calendar, audience segmentation that maintains itself, and content varied by segment instead of sent identically to everyone.

Feeds · Email · Retention · Repeat sales

Voice & Missed-Call Capture

Calls answered out of hours, transcribed, qualified and turned into a booked slot or a callback task — instead of a voicemail nobody plays and an enquiry that went to whoever picked up first.

Feeds · Local services · Clinics · Trades

Proposals & Quotes

First-draft proposals and quotes assembled from the call notes, your pricing rules and what you sent last time — ready for a human to check and send the same day rather than the following week.

Feeds · Sales handover · Professional services

Reporting & Alerts

Data pulled and joined across analytics, search, social and ads, anomalies flagged the day they happen rather than at month end, and a plain-English narrative drafted for review.

Feeds · Every service · Decisions

What we deliberately do not do: back-office automation for finance, HR, logistics or manufacturing. Not because it is not valuable — because we do not run those functions, and an agency without domain knowledge builds workflows that look impressive in a demo and get abandoned in month three. If that is what you need, we will say so on the first call and point you at someone who specialises in it.

Who We Work With

Built for your industry, not a template

What is worth automating changes completely by sector — and so does what must never be automated without a human reading it first.

Brown cardboard shipping box, representing e-commerce order fulfilment

E-commerce & Retail

Bulk product descriptions, review response drafting, and post-purchase sequences that adapt to what was actually bought.

Computer screen showing lines of code, representing a SaaS product

SaaS & Technology

Trial-signup scoring, documentation assistants and content pipelines that keep pace with a weekly release cycle.

Row of modern houses beside a calm lake, representing property listings

Real Estate & Property

Enquiry qualification by budget and area, listing description generation, and instant first replies out of hours.

Doctor consulting with a patient in a modern clinic office

Healthcare & Clinics

Booking triage and admin only. Clinical content stays behind human sign-off, and patient data does not go near a third-party model.

Students studying at desks in a large university library

Education & Training

Applicant enquiry handling at peak intake, course content repurposing and open-day follow-up that does not need a temp.

Airplane wing above the clouds against a clear sky

Travel & Hospitality

Availability questions answered instantly, itinerary drafting, and review responses in the language the review was written in.

Modern skyscraper facade with blue glass windows

Finance & Insurance

Lead triage and document intake with a full audit trail. Nothing that constitutes advice is ever generated without approval.

Wind turbines standing in a green field under a blue sky

Energy & Utilities

Quote request qualification, technical specification content at scale, and installer or partner enquiry routing.

Two professionals shaking hands across a table in an office

Professional Services

Enquiry qualification against your ideal client profile, proposal first drafts, and meeting notes turned into follow-ups.

Colourful coffee shop storefront, representing a local-service business

Local-Service Businesses

Missed-call and out-of-hours capture, job-type qualification, and review requests sent at the moment the work finishes.

By Market

Same build, different rules about data

The workflow travels. Where the data is allowed to go does not.

United Kingdom

GDPR shapes the design, not the paperwork

UK and EU rules mean lawful basis, retention and the right to an explanation have to be designed in rather than documented afterwards. Automated decisions that materially affect a person need a human route, which is why qualification scores here recommend rather than reject. Buyers increasingly ask where the model runs before they ask what it costs.

Quoted in GBP AI automation in the UK →

United States

State-by-state rules and faster adoption

Privacy law varies by state rather than nationally, so consent and disclosure get built per audience instead of once. Adoption is further ahead, which means buyers arrive with existing tools to integrate rather than a blank sheet — and the common job is untangling three overlapping subscriptions before adding anything new.

Quoted in USD AI automation in the USA →

Pakistan

WhatsApp-first, cost-sensitive, bilingual

Most customer conversation happens in WhatsApp, so that is where qualification and response automation earn their keep rather than email. Urdu and English often run in the same thread, which changes model selection. Per-call cost matters more here, so we design for smaller models and tighter prompts instead of the most expensive option by default.

Quoted in USD or PKR AI automation in Pakistan →

Real builds, real hours back

Three automations with very different jobs — and what each one actually replaced.

Customer service agent wearing a headset at a desk in an open-plan office

Professional services · UK

Every enquiry answered in under a minute

Enquiries read, enriched, scored against a real ideal-client profile and routed, with an instant first reply. Uncertain cases go to a person rather than a guess.

18 hours/week returned

Laptop displaying a cohort analysis report in an analytics dashboard

E-commerce · USA

Month-end reporting that writes itself

Analytics, search, ads and social joined into one report with anomalies flagged the day they happen instead of four weeks later.

3 days/month to 40 minutes

Support agent working at a desk with two monitors and a headset

Local services · Pakistan

WhatsApp enquiries triaged around the clock

Bilingual triage on WhatsApp: job type identified, area checked, quote range given, and anything unusual escalated to a human immediately.

+72% enquiries converted

120+Clients served globally

40+Workflows in production

100%Built in the client’s own accounts

12+Years in digital marketing

What our automation clients say

From the people whose weeks actually changed.

★★★★★

“The audit alone was worth paying for. They told us two of the four things we wanted automated were not worth it yet, and explained why. Nobody had ever talked us out of scope before.”

Professional services clientUnited Kingdom

★★★★★

“Everything sits in our own accounts with our own API keys. After the last agency, being able to see every call and switch it off myself was the part that sold it.”

E-commerce clientUnited States

★★★★★

“It replies to WhatsApp in Urdu and English at two in the morning and knows when to wake a human. That one thing changed how many jobs we win.”

Local-services clientPakistan

Our Process

The Visibility Framework™, applied to automation

The same four-stage loop we run on search, social and web — here it decides what a machine should do and what a person still must.

Step 01

Audit The Hours

Where time actually goes, task by task, scored on volume, repetition and the cost of getting it wrong. Ends in a ranked blueprint with estimated hours saved — yours to keep either way.

Step 02

Design The Guardrails

Before any building: what the agent may touch, where a human must approve, what happens when it is unsure, and which data is never allowed near a third-party model.

Step 03

Build & Evaluate

One workflow at a time, in your accounts, scored against real examples from your business before it touches live work. Shipped early so it meets reality while it is still cheap to change.

Step 04

Run & Improve

Monitored for cost, failures and quality drift. Models change, your business changes, and an automation nobody tends becomes a liability rather than an asset.

↻ Automations are maintained, not finished

Honest, No-Nonsense Commitment

If the audit concludes that a task is not worth automating, we will tell you and refund the difference rather than build it anyway. And if a workflow we built does not hit the outcome we agreed in the blueprint, we keep working on it at no extra cost until it does or we take it out.

Timeline

Your automation timeline

Deliberately incremental. One workflow live and earning beats six half-built.

Week 1

Audit & Blueprint

Time mapped, tasks scored, priorities ranked, hours-saved estimated. You own the document whether or not you build anything.

Weeks 2–4

First Workflow Live

The highest-value automation built, evaluated against real examples and running on real work, with a human approving output.

Weeks 4–10

The Rest, One At A Time

Remaining workflows shipped in priority order. Approval steps loosen only where the evaluation data says they safely can.

Ongoing

Monitored & Tuned

Cost, failure rate and output quality watched continuously. Prompts and models updated as your business and the tooling move.

Ownership

What you actually own at the end

The most common rescue job in this field is an automation nobody can see inside, running on an agency’s account. So here is exactly what changes hands, and whose name it is all in.

Your accounts, your API keys

Everything runs on infrastructure billed to you. We are added as a user and can be removed in one click, without anything stopping.

The workflows themselves

Exportable, readable and documented — not locked inside a proprietary wrapper only we can open.

Every prompt and instruction

The actual text driving each agent, with notes on why it is written that way and what breaks if you change it.

The evaluation set

The real examples we scored the agent against, so you or anyone after us can prove a change made things better rather than merely different.

Logs and audit trail

What the model saw, what it decided and what a human overrode — in your systems, queryable, and there when compliance asks.

A recorded walkthrough

Video of someone operating your automations, including how to pause one at 9pm without calling anybody.

The off switch

Every workflow can be stopped by a non-technical person from an interface they already have. If the only way to turn something off is to email the agency that built it, that is not automation — it is dependency.

The test we apply before calling a build finished: if we disappeared tomorrow, could you run, pause and change this yourself? If the answer is no, it is not delivered.

Certified, Awarded & Trusted

GGoogle Premier Partner

MMeta Business Partner

★Clutch Top SEO Agency

✓Google Certified Experts

ASEO Agency of the Year — Finalist

Why Ghalib Ashrafi

We automate marketing because we run marketing

The AI automation market has two kinds of supplier. Enterprise consultancies who are excellent at process automation but have never run a content calendar or chased a lead. And a very large number of new automation agencies who are good with the tools and have no domain knowledge at all.

✓We run SEO, social and websites daily — we know which steps are repetitive and which need judgement
✓Built in your accounts, on your keys, with an off switch you control
✓Every agent evaluated against real examples from your business before it touches live work
✓Human approval on anything customer-facing or irreversible, by default

That domain knowledge is the whole argument. Deciding whether a lead is worth a salesperson’s time, whether a draft sounds like your brand, or whether a review reply will make a complaint worse are not generic problems — they are marketing judgements. An automation built by somebody who has never made those judgements produces output that is technically correct and commercially useless.

It also changes what we refuse. We turn down back-office automation regularly, because the honest version of this service is narrow. The published research on this market is unusually blunt about it: the agencies that fail are not the ones with weak technology, they are the ones without a niche — and horizontal AI is where the failures cluster.

Curious how automation fits with the rest? Explore SEO services, social media management, or website development — this layers onto any of them, and works perfectly well on its own.

Analytics dashboard on a monitor showing revenue, live users and top countries

“Almost every automation that gets abandoned was built by someone who did not do the job it replaced. They automate the steps that are easy to see rather than the ones that actually cost you the week.”

GA

Ghalib Ashrafi Founder & Digital Strategist · 12+ years across search, social & web

The Team

Meet the people building your workflows

A small senior team. The person who audits your hours is the person who builds the automation and the person who fixes it at 11pm.

Laptop showing an analytics dashboard with load time, bounce rate and session charts

No black box, and nobody you never meet

Automation is where the “senior pitch, junior delivery” problem does the most damage, because you cannot see inside what was built. We are deliberately small enough that this cannot happen — you meet the person who will build it, and they explain how it works in language you can repeat to someone else.

It also means we take on fewer builds at once. Automation is only a volume business if you ship the same template to everybody, and the whole point of this service is that yours is not a template.

Data & Trust

Where your data actually goes

The question every serious buyer asks second, and the one most AI suppliers answer vaguely. Here is ours in full, before you have to ask it.

Your data does not train public models

We build on business and enterprise API tiers where the provider contractually excludes your inputs and outputs from training. Free consumer chat tools are not used for client work, ever.

It runs on your accounts

Your API keys, your billing, your tenancy. You can see every call, every cost line and every log without asking us for a screenshot.

Sensitive workloads stay in-house

Where data should not leave your environment at all — patient, financial or legally privileged — we run open-weight models you host instead of calling a third party.

Least data, not all data

Each workflow gets only the fields it needs, redacted where possible. The default is to send less, not to pipe your whole CRM into a prompt because it was easier.

Everything is logged

What went in, what came out, what a human changed. Stored in your systems with a retention period you choose, so an audit is a query rather than a panic.

Documented, not assumed

You get a written map of which model touches which data, hosted where, under what terms — the document your compliance officer or your biggest client will eventually ask for.

And where we will say no: we will not build automation that makes a consequential decision about a person with no human route, generate synthetic reviews or testimonials, auto-reply to complaints, publish content at volume purely to game search rankings, or pipe personal data into a consumer chatbot because it is quicker. If a workflow only works by doing one of those, it is not a workflow we will build — and we would rather tell you that in the audit than in a post-mortem. The same line applies to our own work, not just yours: where we use AI and where we stop →

The Automation Stack We Build On

Claude API

OpenAI API

Google Gemini

Open-weight models

Make

Zapier

n8n

WhatsApp Business API

CRM integrations

Vector databases

GA4 & Looker Studio

Custom in-house agents

Google Search Console performance report showing clicks, impressions and average position

The Basics

What is AI automation, exactly?

AI automation is using a language model to do the parts of a process that used to need human judgement, then chaining those steps together so the whole thing runs without someone driving it. The distinction that matters: classic automation follows a fixed rule — if this, then that — and breaks the moment the input is messy. AI automation can read an unstructured email, work out what it is, decide what to do and hand off cleanly when it is unsure.

Three terms get used interchangeably and should not be. An AI tool is something a person opens and uses. An AI workflow runs on a trigger and does one job end to end. An AI agent is given a goal and some tools and decides the steps itself. Most business value today sits in the middle one — workflows — which is also the least exciting to talk about at a conference.

The other thing worth knowing: the hard part is almost never the model. It is deciding what should be automated, what must keep a human in it, and what happens on the day the thing gets it wrong.

Hands holding a tablet showing performance charts, with a laptop and screens behind

Straight Answers

What do AI automation services actually cost?

The market spread is enormous, which makes any single number meaningless. Published ranges run from about $99/month for a tool subscription to well past $500,000 for enterprise programmes. For work at the scale most businesses actually need, here is the shape:

Tool subscriptions, no build$99 – $500/mo
Typical agency setup project$2,500 – $15,000
Typical agency monthly retainer$500 – $5,000/mo
Our audit, credited against the build$500 – $1,200

Market ranges as published in agency pricing surveys for 2026; our own bands sit below the setup range because we scope narrowly rather than sell platform programmes.

Two questions to ask anyone quoting you. First, whose accounts does it run on — if the answer is theirs, the cheap build is a subscription you cannot leave. Second, what does it cost to run per month in API calls, separately from their fee; a workflow that is elegant and expensive per call is a bill that grows quietly with your success.

Investment

Priced in three stages: audit, build, run

You never buy the next stage blind. Each one ends with something you own and enough information to stop.

Automation Audit

Find out what is worth automating — and what is not.

$500 – $1,200

Time and task mapping across the function
Ranked blueprint with hours-saved estimates
Credited in full against a build

Start With an Audit

Build

Fixed-price workflows, shipped one at a time.

$1,500 – $8,000

Custom agents built in your accounts
Integrations with your existing systems
Evaluation against real examples
Documentation & recorded walkthrough

Get a Custom Quote

Run & Improve

Optional. Keep it working as everything changes.

from $300/mo

Cost, failure and quality monitoring
Prompt and model updates
Included build time for the next workflow
Optional: bundle with SEO, social or web

Get a Custom Quote

Every stage ends with something you own and enough information to stop — you never buy the next one blind.

And what it costs to actually run

We tell people to ask every supplier this, so here is ours. API usage is billed by the provider straight to your account — we never resell tokens or mark up usage, so what you see is the real number.

One or two workflows, modest volume$20 – $80/mo
A full set across leads, content and reporting$80 – $300/mo
High volume or self-hosted open-weight modelsQuoted at audit
Our markup on any of the aboveNone

Bands assume sensible model selection — a workflow can cost ten times this if it is built to always reach for the most expensive model. Keeping this number low is part of the design, and the audit estimates yours before you commit to anything.

What you’re actually committing to

A fixed-fee audit, then an optional build, then an optional retainer. Each stage is a decision point, not a funnel you are already inside.

The audit is credited, not sunkPay for the audit, and the full amount comes off the build if you proceed. If you don’t, the blueprint is still yours to hand to anyone else.
A fixed build price after the auditQuoted once we know what we are building. If it takes longer than we estimated, that is our risk — the price only moves if you change the scope.
You own everythingAccounts, API keys, workflows, prompts, evaluation sets, logs and documentation — all in your name from day one, and still yours if we never work together again.
Running costs are yours and visibleAPI usage is billed by the provider directly to you. We never resell tokens or mark up usage, and you see the real number.
The retainer is month to month30 days’ notice, no exit fee. Stop it and your automations keep running — you are simply maintaining them yourself.
Human approval is the defaultAnything customer-facing or irreversible needs a person until the evaluation data justifies otherwise, and that decision is yours to make, not ours.

These are the terms as they appear in the agreement itself — nothing here is softened for the website. The full wording lives in our terms and conditions, and you get the agreement to read before anything is signed or invoiced.

How we compare to the alternatives

Weighing up an enterprise consultancy, a new AI agency, or hiring someone internally? Here is the honest comparison.

Option	Domain knowledge	What you end up owning	Ghalib Ashrafi
Enterprise Consultancy	Deep in process, thin on marketing	Platform licences and a long programme	Marketing-native, in your accounts
Generic AI Agency	Good with tools, no knowledge of your function	Workflows on their stack, often abandoned	We run the function we’re automating
Hiring In-House	Learns your business — slowly, and expensively	Everything, until they leave with the context	Documented, evaluated, handed over properly
Tool Subscriptions	None — it’s a product, not a partner	A licence and whatever you configure	Built around your workflow, not a template

“Couldn’t I just do this with ChatGPT and Zapier myself?”

Very often, yes. This is the question we get asked most sheepishly and answer most directly, because a real share of the people who contact us do not need an agency at all.

Do it yourself when

It’s one step — a prompt you paste in twice a week is not a project.
A person is always there to check the output before it goes anywhere.
The input is tidy and looks roughly the same every time.
Getting it wrong is cheap — a bad draft costs you a minute, not a customer.

Bring us in when

It must run unattended, including at 3am and on a bank holiday.
The input is messy — real emails, real forms, real people typing badly.
Several systems have to agree and stay in sync without a human relay.
Being wrong is expensive — a lost lead, a bad reply in public, a compliance breach.

So: if a prompt and a Zap will do it, do that — and spend the money on something that actually moves. The moment to hire is when a workflow has to be reliable rather than clever: when it runs without supervision, handles input nobody predicted, and fails safely instead of silently. We tell people to go and try it themselves often enough to know we mean it, and the ones who come back have usually found the exact edge case that made it a real project.

Straight Talk

Who this is for — and who we’ll tell to save their money

AI projects fail for boringly consistent reasons, and almost none of them are the model. Here they are, so you can rule us out in ninety seconds.

Automation is likely to pay off

These are the conditions under which a build returns more than it costs.

The task is repetitive and frequentSomething happening daily or weekly, the same shape each time. One-off jobs almost never justify a build.
It sits in marketing or acquisitionResearch, content, leads, responses, reporting. That is the function we run, and the domain knowledge is the value.
There is a volume problemEnough enquiries, content or data that a person is genuinely the bottleneck — not just an irritation.
Somebody will own it internallyOne named person who can approve output and flag when quality drifts. Not a committee, and not nobody.
You want it explainableOur best clients ask how it works and what happens when it fails. If you want to understand rather than just switch on, this works well.

Don’t hire us if

We would rather lose the project now than deliver something that gets switched off in month three.

You want back-office automationFinance, HR, logistics, manufacturing. Genuinely valuable, genuinely not our domain, and we will point you elsewhere.
The goal is replacing your teamThese systems remove repetitive work so people do the judgement part. If the brief is headcount, someone else can take it.
You want it fully autonomous on day oneApproval steps come off when evaluation data earns it, not because it sounded better in the pitch.
Nobody can supply examplesWe need real cases of the work being done well. Without them there is nothing to evaluate against and we are all just guessing.
You want AI because it’s AIIf there is no specific task and no number attached, the audit will tell you to wait — and we would rather say that than sell you a project.

If you land in the right-hand column, you will hear it on the first call — not three months and several invoices later. Turning away work that was never going to succeed is cheaper for us than doing it badly, and considerably better for both reputations.

Already Tried AI?

Not sure whether to rebuild it — or whether it was ever the right task?

Plenty of businesses that come to us have already bought something. A tool nobody opens, a workflow an agency built and left, or an assistant that answers confidently and wrongly. The instinct is to replace it. Often the real problem is that the wrong task was automated in the first place.

The audit tells you which. And if what you have is fundamentally sound and just needs tuning, we will say so — that is a much smaller invoice than a rebuild.

An honest second opinion first. We review what was built and whether the task deserved automating at all.
Nothing switched off while you decide. The audit runs alongside whatever you have now.
We’ll say if it’s fine. Sometimes the build is sound and only the prompts and thresholds need work.
Clean takeover if you do move. We get accounts, keys and workflows into your name first, whatever happens next.
No lock-in to hear us out. The blueprint is yours to keep, whoever you end up using.

Before You Click Anything

What actually happens after you get in touch

No sales sequence, no “discovery call” that turns out to be a pitch. Here is the whole process, start to finish.

Within 24 hours

We reply

A person reads your message and responds — with a time for a call, or a straight answer if that’s all you needed.

30 minutes

A short call

What eats the week, what you have already tried, and what would have to be true for automation to be worth it. No system access at this stage.

A few days

A free first look

We tell you honestly whether there is a case here at all — and whether the paid audit is worth booking or you should just try a prompt.

Then it’s your call

Audit, or not

If it stacks up, the fixed-fee audit produces a blueprint you own. If it doesn’t, you have lost half an hour and gained a straight answer.

AI automation questions, answered

The things people actually ask on the first call.

How much do AI automation services cost? +

It runs in three stages. The Automation Audit is a fixed one-off of $500–$1,200 and is credited against the build if you go ahead. The build itself is quoted as a fixed project price, typically $1,500–$8,000 depending on how many workflows and how many systems they touch. Running and improving them afterwards is optional and starts at $300/mo. Published agency setup fees for comparable work usually sit in the $2,500–$15,000 range with $500–$5,000 monthly retainers, so ask anyone quoting you where they sit against that.

What can you actually automate for a marketing team? +

Six areas, all of them inside the marketing and customer-acquisition function: keyword, SERP and competitor monitoring; content production pipelines from brief to scheduled draft; AI features on your website such as assistants trained on your own content; lead capture, qualification, enrichment and routing; response handling across inbox, DMs, WhatsApp and reviews; and reporting that assembles itself with anomaly alerts. Lead qualification is usually the one that pays for the whole project.

Do you do general business automation like HR, finance or manufacturing? +

No, and that is deliberate. We automate the marketing and customer-acquisition function because we run it — we know which steps are repetitive, we have the data, and we can judge whether the output is any good. Back-office automation for finance, HR, logistics or manufacturing is somebody else's specialism, and an agency with no domain knowledge in your operation is exactly the kind that delivers workflows nobody ends up using. We will say so and point you elsewhere.

Do I have to buy SEO, social or web to get this? +

No. This is a standalone service and plenty of clients buy only this, including businesses whose marketing is run in-house or by another agency. It does compound when combined — if we already run your SEO or social, we know your data and the build is faster and cheaper — but it is not an upsell you have to qualify for.

Where does my data actually go, and is it used to train AI models? +

Your data is not used to train public models. We build on business and enterprise API tiers where the provider contractually excludes your inputs from training, and where a workload is sensitive we run open-weight models in an environment you control instead. Automations are built inside your own accounts and API keys, not ours, so you can see every call and revoke access at any moment. We document which model touches which data, and we will tell you plainly when a workflow should not use a third-party model at all.

Should I just use ChatGPT, Zapier or Make myself? +

For simple, single-step jobs — yes, and we will tell you that for free. A prompt you paste into ChatGPT twice a week does not need an agency. Where this stops working is when a workflow has to run unattended, handle messy real-world input, make a judgement call, connect several systems, and fail safely when something changes. That is the difference between a clever prompt and a system somebody can rely on while they are asleep.

How long does it take to build? +

The audit takes about a week and ends with a written blueprint you own whether you proceed or not. A first workflow is usually live in 2 to 4 weeks; a full set across research, content, leads and reporting typically takes 6 to 10 weeks. We ship one workflow at a time and put it in front of real work early, because an automation nobody has used yet is only a theory.

What happens if the AI gets something wrong? +

It will, which is why every workflow is designed around that from the start. Anything customer-facing or irreversible has a human approval step by default. Everything is logged so you can see what the model saw and what it decided. Confidence thresholds route uncertain cases to a person instead of guessing. And every automation has an off switch that a non-technical person can reach without calling us.

Will I be locked in to you afterwards? +

No. Everything is built in your accounts, on your API keys, using standard tooling. You get the workflows, the prompts, the documentation and a recorded walkthrough. The optional run-and-improve retainer is month to month with 30 days' notice, and if you stop it the automations keep running — you are simply maintaining them yourself.

Which countries do you provide AI automation services in? +

We work with clients based in the United Kingdom, United States and Pakistan. The build is remote by nature, so location mainly affects currency, timezone overlap, and which data-protection rules shape the design — UK and EU GDPR, US state privacy laws, and local data-residency preferences all change where a workload is allowed to run.

Explore Everything

Every AI automation service we offer, in one place

Automation isn’t one job — it’s a set of connected workflows applied to a specific function, market and industry. Browse the full map below; each page covers its own scope, process and pricing.