The work gets done overnight. You still sign it off.

Claude-powered agents that do the repetitive work every day and put each result in a queue for a person to approve.

AI agentsClaudeApproval queuesAutomation

Daily agents

Scheduled agents that run a defined job every day, such as drafting outreach emails or checking new records, and report what they did.

Approval queues

A simple screen where your team reads, edits, approves or rejects each draft before anything is sent or published.

Data triage

Agents that read incoming or imported data, flag gaps and duplicates, and suggest fixes for a person to confirm.

Workflow automation

The plain, rule-based automations around the agents: moving records, sending notifications and producing weekly reports.

Sound familiar?

01

The same jobs, every week

Someone spends hours on outreach, tidying data or writing posts, and the work that needs real judgement waits.

02

Tried AI, got mush

You tested a chatbot, the output was generic, and nobody trusted it near a customer.

03

Automations nobody owns

A tangle of Zaps and scripts that broke quietly months ago, and no one is sure what still runs.

What you get

An AI automation agency that keeps a person in charge

Most businesses do not need an AI strategy. They need the Tuesday afternoon jobs done: the follow-up emails, the spreadsheet that needs checking, the posts that should have gone out last week. That is what we build agents for.

Our agents run on Claude, on a schedule, inside a Laravel application. Each one has a single, written job. It reads the data it needs, drafts the work, and puts the result in an approval queue. A person on your team reads it, edits it if needed, and approves or rejects it. Nothing reaches a customer or goes live without that step.

What the agents actually do

Outreach

An agent can research a business from its public information and draft a first email that refers to something real about them. Your team decides which ones are sent. The agent does the reading; the person does the judging.

Data triage

Imported records are rarely clean. An agent can check new entries against your rules, flag missing fields, spot likely duplicates and suggest a fix. A person confirms the changes, so your data improves without anyone reading every row.

Content and social drafts

Agents can draft blog outlines, page updates and social posts from your own material and tone notes. The drafts are a starting point, and the edits your team makes are what we use to improve the next batch. This pairs well with our SEO and AI search work, where the facts have to be right.

Reporting

A weekly summary of what happened, written in plain English from your own numbers, waiting for you on a Monday morning.

We run this on our own products first

Rated Clinics, a UK clinic directory we built and run, uses daily Claude agents for outreach, data triage, SEO content and social drafting. Every piece of work goes through an approval queue before it is used. We designed the queue because we needed it ourselves: agents are fast and useful, and they are also sometimes wrong. The queue is how you get the speed without the risk.

We wrote up how that works in AI agents that work overnight, with a person still signing off.

Honest about what AI is good at

Agents are good at reading a lot, drafting quickly and following clear rules. They are not good at knowing your customers, making judgement calls on money or saying no to a bad idea. So we give them narrow jobs, clear limits and a human reviewer. If a job needs a decision rather than a draft, we tell you it should stay with a person.

We also tell you when AI is the wrong tool. Plenty of automation is ordinary code: when a form comes in, create a record and send a message. That is cheaper and more reliable than an agent, and we build it as part of the same work, often alongside our integrations and APIs service.

Where the agents live

We build agents into a Laravel and Filament application, either one you already have or a small one we set up for you. That means your data stays in a system you own, the approval queue sits next to the rest of your admin, and you can see every run in a log. If your leads come in through WhatsApp or the phone, see our AI lead handling and voice agents service, which uses the same approach for conversations.

How we do it

Strategy first

We list the repetitive jobs in your week, pick the ones where a draft saves real time, and agree where a person must stay in charge.

Find the big idea

We run one agent on a sample of your real work and put its drafts in front of the people who would approve them, to see if they are good enough to keep.

Build it properly

We build the agents, the approval queue and the logging in custom code, in weekly releases on a staging site you can test.

Launch to convert

Agents go live on a small volume first, with reporting on approvals and rejections so we can see where the drafts need work.

Run and grow

We tune prompts from the edits your team makes, watch costs, and add new agents once the first ones earn their place.

What it costs

We price every project after a short call, so you know the figure before any work starts.

Website and SaaS cost estimator

What affects the cost

  • How many agents you need, and how many jobs each one does
  • Whether the agents live in an existing application or a new one
  • The number of systems they read from and write to
  • How much of the approval workflow needs roles, rules and notifications
  • Ongoing tuning and model usage once they are live

Tech and tools

ClaudeAnthropic APILaravelFilamentLaravel queues and schedulerLivewireMySQL

OurResults

17x more clinic listings after automating the CQC register import Rated Clinics
Daily AI agents running outreach, data triage, SEO content and social drafts Rated Clinics

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FAQs

Will the agents send things without us checking?

Not unless you decide a specific, low-risk job can run on its own. By default every draft goes to an approval queue and a named person signs it off. You can change that per agent later, once you trust its output.

Which AI model do you use?

We build on Claude from Anthropic, which is what runs the agents on our own products. The model sits behind our own code, so the rules, limits and approval steps are ours, not the model's.

Is our data used to train the model?

We use the Anthropic API under its commercial terms and go through what they say about your data before we start. We also keep what each agent can see to the minimum it needs for its job.

What does it cost to run once it is built?

There is a model usage cost for each run, which depends on how much each agent reads and writes. We show it in a report so you can see it by agent, and we tune agents to keep it sensible.

Can you work with our existing systems?

Usually, yes. Agents can read from and write to your CRM, spreadsheets, email and most tools with an API. We check what is possible on the discovery call.

Related services

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