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What does an AI automation agency actually do?
The label covers a wide range. Some firms sell a single chatbot. Others rebuild the operating system of a business. What we do sits at the second end: we look at how enquiries arrive, how they become clients, and how work gets delivered, then build the software and automation that joins those steps together.
In practice that means some combination of the following:
- Front end: websites, funnels and landing pages that capture enquiries properly.
- CRM: setup or migration from an existing CRM, so there is one record of every contact and deal.
- Automation: workflow automation, follow-up and nurture sequences, reminders and internal alerts.
- Software: client portals, internal tools, web apps and SaaS builds.
- Reporting: dashboards that show the numbers you actually make decisions on, not vanity charts.
- AI: conversational AI and chatbots, voice agents, and AI knowledge assistants limited to your approved information.
Our advice is to resist doing all of it at once. Start with the one journey that causes the most chasing, connect only what that journey needs, and add the rest once the first part is in daily use. A full list of what we build is on our solutions page.
How much does an AI automation agency cost?
Scope decides the price. A single automated journey costs far less than a multi-role platform with payments, approvals and data migration. Our projects start at £4,500. Larger builds run from £10,000 to £20,000, and multi-role platforms or complex builds are £20,000 to £30,000 or more.
Client portals show how scope moves the price:
| Build | Typical price | What is included |
|---|---|---|
| Single client type | £4,500 to £10,000 | Login, onboarding, files, messages, progress |
| Several roles | £10,000 to £20,000 | Approvals, payments or integrations |
| Multi-role or white-label platform | £20,000 to £30,000+ | Complex workflows, AI, data migration |
Portals take three weeks to three months from a signed scope. Payment is 50% upfront and 50% on launch. Running costs (hosting, software, phone minutes, AI usage) are paid directly to the providers from your own accounts, so there is no margin sitting on top of your tooling. Ongoing support and improvements are optional and priced separately as a monthly retainer.
Before quoting, we write a scope: the systems involved, the integrations, the permissions, and how we will judge whether it worked. If you want to arrive with that half-written already, our guide on how to write a software brief covers what to include.
What usually goes wrong with AI automation projects?
Automating a broken process faster
If enquiries sit for two days before anyone opens them, an AI agent that replies instantly is treating a symptom. Harvard Business Review's "The Short Life of Online Sales Leads" (2011, US data) found firms that tried to contact a web lead within an hour were nearly seven times as likely to qualify it as those that waited even an hour longer, and more than 60 times as likely as those that waited 24 hours or more. Of the 2,241 US companies audited, 37% responded within an hour and 23% never responded at all. Fix the routing and the ownership first. More on that in speed to lead and response time.
Assuming the AI's mistakes are not yours
In Moffatt v Air Canada (2024), the British Columbia Civil Resolution Tribunal held the airline liable for incorrect fare information given by its website chatbot, and rejected the argument that the chatbot was responsible for its own actions. Anything an AI system says in your name is your statement. That is why our AI systems are limited to approved information, say when they do not know, hand over to a person, and tell people they are automated.
Ignoring the marketing rules
Automated marketing calls in the UK need the person's specific prior consent under PECR. General marketing consent is not enough, per ICO guidance. A voice agent that answers inbound calls is a different proposition from one that dials out.
Per-task pricing that scales badly
No-code tools are excellent starting points and we use them where they fit. But the meter matters. Zapier counts each successful action step as a task; triggers, filters and paths do not count, and at the plan limit new runs are held unless extra tasks are paid for. A five-step workflow running on every enquiry adds up. We compare the two routes in Zapier vs custom automation and custom software vs SaaS.
Removing the human from decisions that need one
Keep a person on money, legal commitments, complaints, regulated advice and any message sent in your name. We design the approval points in at the scope stage, not after an incident. See which decisions to keep human.
When is hiring an AI automation agency not the right choice?
Three situations where we will tell you not to build:
- An existing tool already fits without workarounds. If the off-the-shelf product does 90% of the job and the other 10% is preference rather than cost, buy the tool. A custom build earns its keep when the workarounds themselves are the expense. The cost of disconnected tools is a useful way to test that.
- The process is still changing week to week. Software freezes decisions. If you are still arguing about who owns a stage or what happens after a no-show, run it manually for another month and write down what actually happens. Then scope it.
- You need it next week. Portals take three weeks to three months from a signed scope. If the deadline is sooner, a stopgap in a tool you already pay for is the honest answer.
The cheaper alternative, in most cases, is not a different agency. It is a smaller first build: one journey, one automation, one dashboard. Then decide whether to go further with evidence rather than optimism. If you are unsure whether AI belongs in the picture at all, read is your business ready for AI agents.
How we run a project
- Audit. Map how enquiries arrive and where work gets stuck. No build decisions yet.
- Design. A written scope: systems, integrations, permissions, success measures, and the price.
- Build. Inside your own accounts. We keep what already works rather than replacing it for the sake of it.
- Test. Real cases, edge cases and failure paths, before anything touches a customer. Our method is in how to test an AI agent before customers see it.
- Launch. In stages. We train the team and hand over documentation.
- Improve. Review the numbers, agree the next changes. Optional retainer, priced separately.
The principles behind that sequence are on our approach page: built in your accounts, clear permissions, human review where it matters, supported handover. You own the code and the data at the end of it.
What this looks like in practice
MRM Group, a UK property development and investment company, needed the public funnel and the internal operation joined up. We connected the funnel to GoHighLevel and built an authenticated internal command centre for clients, deals and tasks, with client and deal workspaces using agreement-before-payment flows, document handling, task workflows, reminders, audit history and operational reporting. Human approval sits at sensitive financial-promotion and AI decision points. MRM generated £170,000 during the three-month period following implementation (client-provided result; outcomes depend on the offer, market and execution). Related: systems for property investment companies.
TMMB Academy, a TikTok Shop academy, came to us with a fragmented funnel, rising software subscriptions and no single system. We built one portal with role-specific workspaces for admins, coaches, creators, sales, assistants and brands, covering onboarding, creator performance, subscriptions and payments, course modules, calls, messages, community resources, brand deals, deliverables and operational alerts. The implementation ran for more than 60 days. TMMB was able to take on greater capacity, improve scalability and retention, and reports generating six figures within roughly two to three months (client-reported, shared with permission). Related: systems for online academies.
We also build for ourselves. The Agentryx platform handles branded client onboarding from a single link, delivery boards shared between an agency and each client, ad reporting across Meta, Google Ads and GoHighLevel, a white-labelled client portal on each agency's brand, and AI that turns a call summary into tasks and a draft follow-up email for a person to check. And we ran our own CRM migration out of GoHighLevel into a system we built: more than 1,600 contacts, around 100 deals with values, over 11,000 emails, over 1,000 text messages, nearly 200 calls and several thousand activity records imported, with a re-runnable import keyed on original IDs, do-not-contact settings carried across, and both systems running side by side before switching off. That one is not finished yet.
Two verbatim Trustpilot reviews, both five stars: "When it comes to building systems to acquire clients, Quam is your guy." (Denzil Jones). "Quam introduced me to the idea of having a solid infrastructure and helped me build it." (Stefano Ezeokaka).
Frequently asked questions
How much does an AI automation agency charge?
Our projects start at £4,500. Larger builds range from £10,000 to £20,000, and multi-role platforms or complex builds are £20,000 to £30,000 or more. Scope decides the price, and you get a written scope and price before anything is built. Payment is 50% upfront and 50% on launch.
Who owns the systems once they are built?
You do. Everything is built inside your own accounts, and you own the code and the data. Running costs such as hosting, software, phone minutes and AI usage are paid directly to the providers from your accounts.
How long does a build take?
Client portals take three weeks to three months from a signed scope, depending on roles, integrations and whether data needs migrating. The TMMB Academy implementation ran for more than 60 days. We do not commit to a timeline outside the written scope.
Do I need ongoing support afterwards?
No. Ongoing support and improvements are optional, offered as a monthly retainer priced separately. Launch includes team training and handover documentation so your team can run the system without us.
Can AI handle customer conversations safely?
Within limits. Our AI systems are restricted to approved information, say when they do not know, hand over to a person, and tell people they are automated. Decisions involving money, legal commitments, complaints, regulated advice or messages sent in your name keep a human in the loop. In Moffatt v Air Canada (2024) the airline was held liable for wrong information from its own chatbot, so the liability stays with the business.
Should I just use Zapier instead?
Often yes, to start. The thing to watch is volume: Zapier counts each successful action step as a task, triggers and filters and paths do not count, and at the plan limit new runs are held unless you pay for extra tasks. When a multi-step workflow fires on every enquiry, the economics change. Our comparison of Zapier vs custom automation goes through the trade-off.
When should I not hire an agency to build this?
When an existing tool already fits without workarounds, when the process is still changing week to week, or when you need something live next week. In the first two cases, custom software locks in decisions you have not made yet.
Can you move us off our current CRM?
Yes. We did it for ourselves out of GoHighLevel: more than 1,600 contacts, around 100 deals with values, over 11,000 emails, over 1,000 text messages, nearly 200 calls and several thousand activity records, with a re-runnable import keyed on original IDs, do-not-contact settings carried across, and both systems running side by side before switching the old one off.