An AI agent should take a real piece of work off your team: reading the new lead, checking the CRM, drafting the reply and putting it in front of a person to approve. We build agents like that, one job at a time, on your own data and tools.
The pitch you'll hear a lot is one clever AI assistant that runs your whole business. In practice, that's where things go wrong. An agent with access to everything, doing a bit of everything, is hard to test, hard to trust and easy to break. We build the opposite. Each agent owns one input and one output, end to end:
Agents start on their own when something happens in your business. Nobody has to remember to run them. Anything that goes to a customer or changes a record waits for a person to approve it first.
Generic AI agents with broad access to a business are a real security risk. Research covered on our channel found more than 30,000 exposed agent setups online.
So every agent we build gets only the access its one job needs, runs inside your accounts and keeps a log of what it did.
We mapped a US agency's whole operation, sized 13 agents into a phased plan ordered by what each would save, and built the first: a reporting agent that matched 4,571 records to 57 clients and turns real delivery data into client-ready decks. Read the 13-agent case study
Agents scanned more than 10,000 profiles a day, scored candidates and drafted personalized outreach, with recruiters approving every message. The result was 4.5x the capacity, with no new hires. Read the Best People case study
An agent reads every incoming email and posts a draft reply to Slack in under 10 seconds for approval. That gave the founder 15+ hours a week back. Read The Technical Traders case study
Two sliders. Your own numbers.
About AI agents.
It's software that uses AI to do a defined piece of work on its own when something happens, like a new lead, an email or a document arriving. It reads the information, checks your systems, decides what to do within rules you've set, and drafts the output for a person to approve.
A chatbot answers questions when someone types to it. An agent does work: it starts itself when something happens, uses your tools and data, and produces something finished, like a reply, an update or a report.
The phrase is mostly marketing. What's real is an agent that takes one job off a person's plate reliably. Stack enough of those together and your team's capacity changes, which is what people usually mean.
It's a set of AI agents that each own one recurring job, working alongside your team. In practice you build it one agent at a time. For one marketing agency we sized 13 agents into a phased plan, ordered by what each would save, and built the reporting agent first.
For a simple, low-risk job you can, with no-code tools like n8n, Make or Zapier. Start with one job, a clear trigger and a person checking the output. Custom AI agent development is worth it when the agent has to work across several of your systems, touch customers or records, or run reliably without anyone watching it.
It depends on the job and what it connects to. We charge a fixed fee per build, agreed before we start. For typical market prices, see our guide on what AI automation costs.
A single focused agent usually takes two to four weeks to build and test.
Yes. They're built in your accounts, and they keep running if we part ways.
In a 45-minute call we'll look at how your business runs, where your team's time goes and where leads or work are slipping through. You'll leave knowing whether AI is the right fix, and if it is, where to start.
Prefer email? storm@oneclicksystems.co.uk