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Five colleagues at a meeting table

A written plan for putting AI into your company.

We look at how your teams work today, then we write down which team goes first and which training they get. We start with the work that pays back first.

What we do, in the order we do it.

Four things happen, in this order.

  1. 01

    We ask your team how they use AI today

    We send your team a short set of questions. You get the answers back in writing.

  2. 02

    We write the roadmap

    It names which training each team gets, and the order we go in. You approve it before any date is set.

  3. 03

    We train one team at a time

    Each team gets the training that fits their department, on the tools they already use: Microsoft 365 Copilot, Google Gemini, ChatGPT or Claude.

  4. 04

    We build agents for the work that comes back every week

    The same report, the same reply. We build agents for those, and we teach your team to build their own.

Nothing goes in the calendar until you say yes. You approve one step at a time.

Some work comes back every week. We build the agent that takes it.

Work your team repeatsWhat an agent can take over
Reading a long report before the meetingIt gives you a short pre-read and the questions worth asking.
Checking the same tracker every monthIt reads the tracker and flags what needs attention.
Turning meeting notes into slidesIt turns the notes into a slide outline.
Looking up the same background every weekIt runs the research and shows where every answer came from.

We teach your team to build their own agents, with no code. We build them to run inside the AI tools your company already has.

We agree what to measure before the first session.

Before we start

We set the review date before anything launches. Two numbers get agreed up front. Hours saved, per person, per week, on the same tasks we time at the start. Work delivered, meaning reports finished and documents sent.

After the training

About two weeks after each team’s session we survey them, then we send you a written report. It shows how many still use AI, what they use it on, how much time they say they save, and every limit of the method.

At the review date you see the numbers, and you decide what happens next.

We trained ADA Global one team at a time. Nine trainings, nine teams.

Read what happened at ADA Global

Your roadmap starts with one call.

We ask how your teams work today, then we tell you which team we would start with.