AI Agents That Do the Work for You
AI agents are software that gets the work done for you. You set the goal and they handle the rest, including running 24/7. We'll help you figure out which parts of your business actually need one, build the right ones, and keep them running once they're live.
What an agent actually is
"Agent" gets used pretty loosely at the moment. The useful definition: software you give a goal to. It uses your tools and data, picks its own next steps, and adjusts when something fails. Chatbots wait for input. Workflows run a fixed script. Agents do their own thinking.
Does what you tell it
Set up a trigger, set up an action, it runs every time. Works well when the work is repetitive and the rules don't change. Anything outside the script and it's stuck.
Figures out what to do
You set the goal and decide which tools the agent can touch. From there, it works out the steps and runs them itself. If the first approach fails, it tries another. Runs 24/7 with nobody watching.
Where AI agents fit in your business
Agents work best in roles that used to need a person paying attention. Below are the patterns we see most often. Yours might look different, which is what Discover is for.
Operations monitoring
An agent that keeps an eye on your live systems. When something fails, it investigates and tells the right person before customers spot it.
Customer support
A first-line agent that handles tier-one support. Answers the easy stuff, looks up order details, and only escalates what genuinely needs a human.
Sales follow-up
An agent that keeps the pipeline moving. Replies to inbounds, books meetings, keeps the CRM clean, and tells you which deals are worth chasing.
Research and analysis
An agent that watches your market, competitors, or internal data on a schedule. Sends you a short summary at the end of the week.
Document processing
An agent that processes invoices, contracts, or planning documents. It extracts what matters and pushes the result into your existing tools.
Internal admin
An agent for the inbox-and-meetings layer. Triages email, drafts replies, prepares pre-meeting briefs, and gives you back the time you'd rather spend on real work.
How we work with you
Three phases. You can stop after any one of them. Most clients run all three once the first agent has paid for itself.
Discover
A short engagement to figure out where agents make sense for your business. We look at the work that's eating the most hours and pick two or three places to start. You leave with a prioritised plan.
Build / Deploy
We build the agent custom inside your existing stack, or help you pick, configure, and integrate an off-the-shelf option if one fits. Either way, you have something working in weeks rather than quarters.
Optimise
Agents aren't a one-off install. Models change, prompts go stale, integrations break, and the work itself shifts as your business shifts. The retainer covers monitoring, the upgrades that matter, expansion into new use cases, and someone on the other end of an email when something looks off.
Pricing depends on the work. We talk it through on the free consultation rather than publishing a tier sheet.
Agents we've built and written about
A mix of recent client work and our own thinking on where this is heading.
AI-Powered Refurbishment Cost Estimator
A property developer types a refurbishment request in plain English. The agent looks up the site, prices the work, and sends back a costed plan within minutes.
ReadAI Invoice Extraction & Pictorial Quotes
An agent reads supplier invoices, finds matching products in Shopify, and produces a pictorial quote ready to send to the customer.
ReadAgentic AI — What It Actually Is and Why I’m Building With It
Why I built an agent to watch my clients' live deployments and message me when something breaks. What that pattern means for your business.
ReadAI Agents Just Became Your Cheapest Employee
An agent costing a few hundred quid a month can now do work that used to need a hire. Where that holds up, and where it doesn't.
ReadQuestions we get asked
What actually counts as an agent versus AI or automation?
Automation runs rules you write. AI tools (like ChatGPT) answer when you ask them. Agents work towards a goal you set, choose their own steps, and adapt when something fails. The autonomy is the bit that matters.
Should we build a custom agent or use an off-the-shelf one?
Depends on the use case. Off-the-shelf is cheaper and faster if your need fits a category that already exists (sales replies, tier-one support, scheduling). Custom makes sense when the work is specific to how your business runs, integrates deeply with your existing stack, or sits on top of your IP. We'll tell you which fits when we look at it together.
How do you keep agents from doing the wrong thing or hallucinating?
A few different ways. Each agent only gets access to the tools and data it needs. Anything with real consequences (sending money, sending email, deleting things) goes through human approval. Every step is logged so we can replay it if something looks off. And the Optimise retainer is specifically for catching drift early, when the agent starts behaving differently than it used to.
What about data security and confidentiality?
Agents run inside your existing security setup wherever we can. Models come from enterprise-tier providers with no-training agreements. Sensitive data stays in your own systems. The agent only sees what it needs to do its job. We'll sign whatever your security or legal team need us to sign.
Do we have to commit to a long contract?
No. Discover is fixed-scope. Build / Deploy is project-based. Optimise is monthly and rolling. You can cancel any time, and we size the retainer to how much active care your agents actually need.
How is this different from your "Custom AI Workflow Builds" or "Ongoing Optimization" services?
Those services cover work that doesn't need a full agent: straightforward automations, dashboards, integrations. The AI Agents page is for when you want AI doing the work end-to-end, not just helping someone get through it faster. Most projects end up with a mix of both.
Book a free consultation
30 minutes on a call. We talk through what agents could do for your specific situation, where to start, and what a realistic build and ongoing relationship looks like. You'll get a clearer picture either way.