Automation Agency
AI automation agency for businesses that want shipped work, not slide decks
We build automation systems inside the tools you already run. Operator-led, no white-label subscriptions, no account managers, no overhead. First working system live in 14 days.
Book a 30-minute call01
Why most automation engagements fail before they start
The post that keeps appearing in every SME founder community goes like this: "23 separate software subscriptions, $4,100/month for a 12-person company and none of them talk to each other." The software is not the problem. The absence of anyone who will actually wire it together is the problem.
A traditional agency retainer does not fix this. The math on a typical agency engagement is approximately 40% overhead, 30% sales commission, 20% account management, and 10% on actual work. You are paying for a machine to sustain itself, not for a system to ship into your stack. One founder in a hospitality operator forum put it clearly: "$3,500/month for local SEO and I do not have 12 months to find out if it works." That is the alternative to a shipped system. A retainer that generates activity and calls it progress.
The operator-led model is built around one question: what did we ship this month that is in production and working? Not what did we plan. Not what did we present. What is running in your stack and generating measurable output today. For a broader view of what this looks like in practice, read the parent page on automation for business.
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What does an operator-led automation agency build?
We build AI-powered workflow systems inside the tools your team already uses. Not new platforms. Not additional subscriptions. Automated workflows that read real inputs, make a reasonable judgment, and produce a useful output inside WhatsApp Business, Gmail, your CRM, your booking platform, or your invoicing tool.
Lead qualification workflows
Every new inquiry gets read and classified before the founder sees it. The system asks the three qualifying questions, reads the responses, and routes qualified leads to the founder and unqualified ones to a holding sequence. Twenty inquiries a week at ten minutes each is 200 minutes. The system handles all twenty in under a minute.
Booking and confirmation drafting
High-frequency for hospitality and clinic businesses. The system reads the booking request, drafts a confirmation with the right details, and queues it for a 15-second human review. Response time drops from four hours to twelve minutes. Conversion goes up because the lead did not go cold waiting for someone to type a reply.
CRM reconciliation and data hygiene
Three years of duplicates and inconsistent pipeline stages means the sales team is working from a fiction. A sync layer keeps records aligned across platforms, flags drift, and surfaces leads that went cold three months ago but never got a follow-up. A Manchester recruitment firm recovered 22 stalled placements worth £160k in fees in their first 90 days after we shipped this system.
Invoice chasing and payment sequences
The same three reminder emails at seven, fourteen, and twenty-one days. The system drafts each one, the accounts person approves with one click, and the email goes. Debtor days drop. An hour back per week for a one-person accounts function that was spending that hour opening spreadsheets and copy-pasting names into templates.
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How does this compare to a general AI agency?
The term AI agency covers a wide range of operating models. Strategy consultancies that build decks. Reseller shops that bundle SaaS tools under a retainer. Full-service agencies that do some AI work alongside paid media and SEO. Automation-specific operators who build systems. The practical differences matter when you are choosing one.
A strategy consultancy gives you a roadmap. An operator gives you a working system. A reseller shop gives you a software subscription with an implementation fee attached. An automation-specific operator gives you a workflow that runs in production inside your existing stack and does something useful on Monday morning. If you are comparing options across the market, the best AI agencies guide covers the landscape. For the selection criteria, see how to pick an AI agency.
The comparison with a AI marketing agency is worth drawing clearly. A marketing agency focuses on acquisition channels: content, paid media, SEO, social. An automation agency focuses on operations: the workflows between acquisition and revenue. Both matter. They are not the same engagement. If you want AI applied to the full business operating system, read the page on AI strategy consultancy.
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How does the 14-day build cycle work?
Days 1 to 4: audit and workflow selection
We map every repetitive task the team runs in a week. Time cost on each one. Data quality check on the tools involved. We select the single workflow with the highest time cost and the cleanest data. That is the first system we build. Not the most impressive one. Not the one a vendor pitched at a conference. The one that bleeds the most hours and has clean enough data to automate without a data-cleaning sprint first. For workflows with messy data, we fix the data before we build the system.
Days 5 to 10: build and test
We build inside the tool your team already uses. WhatsApp Business API, Gmail API, CRM webhooks, booking platform triggers. The system prompt is documented. The escalation rules are written down. We test on 50 real historical inputs including the edge cases: the message in the wrong language, the lead who answered the qualifying question sideways, the booking request that came in at 11pm on a Sunday. We fix the failures before going live.
Days 11 to 14: live and measuring
System goes live. We watch the first 50 real inputs run through it. We fix edge cases the test environment missed. We set the two metrics we are tracking and nothing else. For a lead qualification system that is qualified inquiries this week and conversion rate on those qualified leads. For the full methodology, see the page on AI workflow automation.
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Pricing
Fixed monthly. No percentage of revenue, no per-seat fees, no scope creep. Full breakdown in the AI agency pricing guide.
Foundation
£2k
per month
- →Workflow audit and prioritisation
- →One shipped automation system per quarter
- →Monthly working session
- →Async support and maintenance
Growth
£3.5k
per month
- →Everything in Foundation
- →Two automation systems shipped per quarter
- →Weekly working sessions
- →Full automation roadmap ownership
Dominance
£5k
per month
- →Everything in Growth
- →Continuous shipping, embedded inside your team
- →Full automation operating system
- →Capped at three clients per quarter
Which workflow should we automate first?
30 minutes. We run the workflow audit live on the call and you leave knowing the one system that will give you the most capacity back in the next 30 days. No pitch. No deck.
Book the workflow audit06
Frequently asked questions
What does an AI automation agency actually do?
An automation agency maps the manual, repetitive work inside your business and builds systems to handle it without adding headcount. In 2026 the best ones go further: they use AI models to handle the unstructured work that conventional rule-based scripts cannot touch. Reading a booking request in an unexpected format. Qualifying a lead based on what they wrote, not a checkbox they ticked. Drafting a response to a client complaint that accounts for the prior thread. A genuine automation agency delivers a working system inside your existing stack: your CRM, your inbox, your booking platform. They do not sell you a new SaaS tool. They wire intelligence into the infrastructure you already pay for. What distinguishes a real operator-led agency from a reseller shop is whether the person who specifies the system is the same person who builds it.
How is an operator-led automation agency different from a traditional one?
A traditional agency bills for time. An operator-led agency bills for shipped systems. The model is different because the incentives are different. A traditional agency retainer rewards activity: workshops, presentations, strategy decks, alignment sessions. An operator-led engagement rewards one thing: a working system in production. The person running the engagement at an operator-led agency is someone who has built and run their own tech infrastructure, not someone who manages client accounts. When a system breaks on a Wednesday evening, the operator fixes it. When a traditional agency deliverable breaks, the account manager emails to book a call. The financial structure reflects this. An operator-led engagement runs £2k to £5k per month. A traditional agency retainer at comparable claimed scope starts at £8k and includes 40% overhead, 30% sales commission, and approximately 10 pence in every pound on actual work.
Which business processes are good candidates for automation?
The test is simple. How many times does this task happen in a week? How long does it take? Is the output predictable enough that a system could produce it with 80% quality, and then a human reviews before it goes out? Lead qualification over WhatsApp or email is the most common first target. The same five questions, every new inquiry, before the founder reads it. Twenty inquiries a week at ten minutes each is 200 minutes. An automated qualifier handles all twenty in under a minute and routes only the qualified ones to the founder. Booking confirmation drafts are close behind. High frequency, constrained output, easy to review. Invoice chasing at seven, fourteen, and twenty-one days. CRM sync across two or three tools that never talk to each other. Support ticket triage. The constraint is not the AI capability, it is data quality. If the CRM is a mess, the system reads a mess. We fix the data infrastructure before we build the automation layer.
How long does it take to get a working system from an automation agency?
First system live in 14 days from kickoff when the data infrastructure is clean. Week one is the audit: we map every repetitive task, put a time cost on each, and pick the one with the highest cost and the cleanest underlying data. That is the one we build first. Not the most technically impressive one. The one that bleeds the most hours. Week two is the build: we wire the system inside the tools your team already runs. WhatsApp Business API, Gmail API, CRM webhooks, booking platform triggers. We test on real inputs including the edge cases that break conventional scripts. Week three is live and measuring: the system runs on real traffic, we watch the first 50 inputs, fix the edge cases, and set the two metrics we are tracking. Timelines stretch when the data infrastructure is broken. A CRM with three years of duplicates and inconsistent pipeline stages needs cleaning before an AI can read it usefully. We do that work, but it adds time.
What does an AI automation agency charge?
The honest answer is it depends on the model. A reseller shop that white-labels third-party tools and marks them up will quote you a monthly SaaS fee plus an implementation fee. The SaaS tools are real, the implementation is often a template configuration. An operator-led engagement runs differently. Our Foundation tier at £2k per month covers the workflow audit, one shipped system per quarter, a monthly working session, and ongoing maintenance. Growth at £3.5k ships two systems per quarter with weekly sessions. Dominance at £5k runs continuous shipping embedded inside your team, capped at three clients per quarter so the work stays hands-on. The comparison point: a traditional agency retainer at equivalent scope starts at £8k and delivers considerably less in production. The other comparison point: one junior hire in the UK costs £2.5k to £3k per month before National Insurance, pension, equipment, and management overhead. The automated system does not take annual leave.