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AI automation that does real work

AI automation agency, built by engineers

7Fridays is an AI automation agency. We connect the software you already run to your AI agent, so you manage bookings, dashboards and emails in plain words, and we build agents that work on your website and between your tools, with rules, checks and rollback from the first day.

Person pointing at a screen with an AI brain and automation icon

Three kinds of AI automation we build

From your website to the software you already run

Agent that works
on your website

117MCP abilities an agent can use on a live site

Pages, blocks, menus, SEO and translations changed from a chat — validated against your design system before anything goes live.

Your AI runs
your software

1 chatfor all the software you already use

Bookings, dashboards, emails, reports: we connect the systems you already have to your AI agent, building an API where there isn’t one. Then you run them in plain words.

Agents connected
to your tools

0copy-paste steps left between your systems

CRM, helpdesk, accounting and calendars wired together, so routine hand-offs between systems happen without a person copying data.

See an example

On plain language

MCP: a new way to run your software

Until now, running software meant learning it: menus, filters, reports, exports, and one dashboard per system. With an MCP connection you simply ask: "Show me tomorrow's bookings that still have no payment." Your AI agent goes into the system and does it, with the same permissions, the same validation and the same audit trail as a person working in the interface.

Every tool we build or connect gets this from day one. Software you already have gets an MCP server too, and an API first if it has none. Nothing to retrofit later, and no second system to maintain.

Large MCP letters on a dark circuit board with globe icons

Fabrement, the proof

Our own AI workplace for WordPress

Fabrement is a free WordPress plugin that lets an AI agent build and run a site: native Gutenberg blocks, templates, menus, forms, SEO and media, through 117 MCP abilities. Every change is checked against the design system, versioned and reversible — it is the same engine we use on every client build. Used daily by our own team, and by agencies and freelancers who build WordPress sites with Claude.

How we keep it safe

An agent gets rules, not root access

  1. Rules before actions

    Each operation reads its own rules first, so the agent knows what is allowed before it touches anything.

  2. Checked output

    Code and content are validated on the server — schema, design tokens, accessibility. Bad output is rejected, not shipped.

  3. Versions and rollback

    Every change creates a version. One call restores the previous state of a page, block or template.

  4. Publishing as a separate step

    Drafts stay drafts. Going live is its own action, and you can keep it for a human.

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What we automated for ourselves

We run on it before you do

Hosting control panel

Deploys, backups and updates for our own projects in one place. Built for our team and our processes, not offered to clients.

What it replaced

Commercial panel licences and hand-run server chores.

Task manager

Daily reports, estimates and time tracking for our team. While we work on a client’s project, the client gets access to it to follow progress and add input.

What it replaced

An off-the-shelf tracker that never matched how a studio works.

Email system

Our own tool sends our emails automatically, and our AI agent builds the email templates from a request in plain words.

What it proves

A new template is a request in a chat, not hours in a template editor.

How an engagement works

Start small, prove it, then grow

  1. Audit

    We look at where your team loses time: copying data between systems, repeated requests, manual checks. You get a short list of tasks an agent can take over, and what each one needs.

  2. Pilot

    One task, one agent, connected to your real systems with its own rules and checks. Your team uses it in daily work before anything else is built.

  3. Rollout

    Once the pilot proves itself, more tasks and tools follow. Every agent gets versions and rollback, and your team decides what goes live.

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AI automation agency

Questions buyers ask us

What does an AI automation agency do?

It connects AI agents to the systems a business already runs, so they do real work, not just answer questions. We do it in three ways: your AI agent runs the software you already use, such as bookings, dashboards and email; an agent works on your website; and agents pass data between your tools, such as a CRM, helpdesk, accounting or calendar.

What is MCP?

MCP (Model Context Protocol) is an open standard that lets an AI agent, such as Claude or ChatGPT, use your software's functions directly, with the permissions you set. Once your system has an MCP connection, you can ask the agent to do things in it in plain words instead of clicking through its screens.

What can I ask my AI agent to do?

Whatever your connected systems allow, in your own words. For example: "Show tomorrow's bookings that still have no payment." "Which dashboards dropped this week?" "Draft a reply to every guest whose tour was cancelled." "What are people searching for in our market this month?" "Add a new page for our winter offer."

How is 7Fridays different from other AI automation agencies?

We are an engineering team that has built custom software since 2016, and we build the environment our agents work in. Fabrement, our own plugin, gives an agent 117 MCP abilities on a WordPress site, and every change it makes is checked before it is saved. Our own task manager, hosting panel and email system run on the same approach.

What if our software has no API?

Then we build one. It is part of the project: the agent needs a safe, documented way into your system, and an API with its own rules is that way.

Is it safe to let an AI agent work on our systems?

Only with walls around it, and that is how we build. The agent reads the rules before it acts, its output is checked on the server and refused when it breaks them, every change is a version you can roll back, and publishing stays a separate step your team can keep for a person.

Which AI does the agent use?

The one you already pay for: ChatGPT, Claude, Codex, Cursor or another model that connects over MCP. The checks do not depend on the model, so a new model next month changes nothing.

Can we start with one small task?

Yes, and we recommend it. The pilot is one task and one agent, used by your team in daily work. More tasks follow only once it has proved itself.

How much does AI automation cost?

It depends mostly on two things. The first is what the agent is allowed to do. Reading from your systems, pulling reports and analytics and suggesting what to do next is the simpler level, and it comes together fast. Letting the agent change things, such as bookings, prices or emails to customers, is the harder one: we have to learn your software, your operations and your business in depth, it takes longer, and it may mean one of our engineers working inside your team for a while. The second is whether your software has an API. If it has one, half the work is done; if not, we build it first. You get an estimate after the audit, and the pilot keeps the first budget small.

Can an AI agent manage our WordPress website?

Yes. With Fabrement connected, your team asks the agent for a new page, a section or a fix in plain words, and it builds it on your site's design system. One client's owner built a multi-step form himself this way, with no developer involved.

What happens if we stop working with you?

You keep everything. We hand over documentation, access and an MCP connection, so your team, or your own agent, can run the system without us.

Let's make something meaningful

Tell us what you are building. A real engineer replies within one working day — usually with questions, sometimes with a first estimate.

    Talk to us

    Tell us what you are building. A real engineer replies within one working day — usually with questions, sometimes with a first estimate.