Make your company AI-First.

How we work

1. 1

   Diagnosis

   We look at where your information is today (spreadsheets, email, software, someone’s head) and which day-to-day tasks are worth handing to AI first.

2. 2

   Data organisation

   We organise that information in Traiker: the company’s own database, isolated and encrypted, with a structure your team understands. The data is still yours: we do not train models on it or process it, and you can export or delete it whenever you want.

3. 3

   Connecting agents through MCP

   We connect the assistants you already use (ChatGPT, Claude, Grok) so they query and update that data with clear permissions.

4. 4

   Team training

   Hands-on sessions with your real cases so AI gets used every day, not just on demo day.

Who it is for

• Companies already trying ChatGPT or Claude that, without their own data, get no further than generic answers.
• Teams whose information is scattered and depends on two or three people.
• Businesses that want to start with AI without running a software project.

Frequently asked questions

What does it mean for a company to be AI-First?

That its information is organised and accessible so that people and AI agents can work with it from the start, not as an add-on. In practice: data in a reliable source, assistants connected to that source and a team that knows how to use them.

What does Traiker's AI-First consulting include?

A diagnosis of where your information is today and which tasks are worth handing to AI, the organisation of that data in Traiker, the connection of your assistants through MCP and training so the team uses them day to day.

Where should a company start if it wants to use AI?

With one concrete process that takes time and depends on repeated information, such as answering customer questions or preparing quotes. You organise that data, connect an assistant and measure whether it saves work before expanding.

More answers in the full FAQ.