Enterprise: MCP built for the task

When the AI has to touch
your real data.

Answering from your site is one thing. But if the AI has to reach your closed data, recognise a user or take an action inside your system, you need engineering built around your systems and data, in depth and under full responsibility - not access over public content.

When access over public content is no longer enough

You need more than answers from the site

Reading the visible pages gives answers about what is written. But when the AI has to act - check an order status, update a record, book an appointment - there is no source for that on a public page.

The data sits in a closed place

Orders, customer records, stock, service history - all of it lives in your systems, not on the site. For the AI to answer on those for real, it needs a controlled connection to that data, not guesswork.

Someone else's code, your own developer

The system was built at some point by an outside vendor, and you have your own developer or team. You need someone who talks to both sides and connects the AI without breaking what already works.

How we approach it

Not self-service - engineering built around your case that starts with a serious discovery.

Two options

Enterprise or Service: which one fits you

The difference isn't the size of your company, it's what the AI has to reach.

Enterprise

MCP built for the task, beyond public content.

  • For: companies with internal systems and a technical team
  • What's needed: closed data, actions inside the system, integration
  • Who does the work: engineering built around your case, starting with discovery
  • From you: controlled access and involvement from your technical team

Service

AI access over your site's public content.

  • For: a business that needs AI to answer correctly from the site
  • What gets read: your visible pages
  • Who does the work: we do - built by hand, runs on our servers, maintained
  • From you: a website address. No code, no developer

Let's start with your task

Write in one line what the AI should do, and leave an email. We'll get back to arrange a short call.

Why it matters now

Why now, not later

The market is early. Setting up AI access now earns a first-mover advantage.

MCP and privacy

Closed data under control: least privilege, anonymisation, and a log of every access.

What it gives a business

The business value behind the integration, not just the technical side.