kapoey.

Hands-on AI setup and team training.

You shouldn’t have to
figure out AI alone.

We help business owners and their teams use AI to reduce repetitive work. We build and test shared workflows, connect the right tools and train your team to use them.

Clear rules for company data. Knowledge your team can find and reuse.

Start a conversationSee where we can help
From individual AI use to shared company knowledgeThree separate paths converge into one shared way of working, then continue as knowledge the whole team can use.
Individual effortShared progress

One inquiry.
A clearer handoff.

An illustrative workflow. We agree on the tools, data and review steps around your business.

A customer inquiry becomes an organized record. AI prepares a reply draft, then a person reviews and approves it before anything is sent.
An inquiry arrivesA person approves
  1. 1

    A customer inquiry arrives.

    Start with the information your business is allowed to use.

  2. 2

    The details become an organized record.

    Keep the request and useful context together for the next person.

  3. 3

    AI prepares a reply draft.

    Use the agreed information and instructions to prepare a response.

  4. 4

    A person reviews and approves.

    Your team checks the details before the reply is sent.

Make AI part of
how the business works.

Five places to begin.
One connected way forward.

Shared AI workflows and training.

Tested workflows, reusable prompts, a team guide and hands-on training.

Connect your business tools.

Working connections within the agreed scope, test results and handover instructions.

Clear rules for company data.

A data map, an access review and practical AI information-sharing guidance.

Keep company knowledge useful.

Organized company knowledge, named owners and update instructions.

Reduce repetitive work.

An improved task workflow and a before-and-after comparison.

A clear next step.
Then another.

The work starts small enough to understand and close enough to the team to be useful.

  1. Find the friction in the actual work. A magnifying lens isolates an orange interruption in a blue working path, showing where to focus before moving forward.
    Follow the workFind the friction
    1

    Find the friction.

    Look at the work with the people who do it. Choose one problem and agree on what a useful first result would be.

  2. Build with the people who will use it. The team helps build a working method. A test checkpoint and a return loop bring the result back to the people using it to check and refine.
    Build with your teamBuild, test, refine
    2

    Build it together.

    Build the agreed solution and test it with your team against the result you chose.

  3. A method your team can keep using. A documented method is handed to the team, with one person marked as the owner. The return route shows responsibility for reviewing and updating the work.
    Train and documentName an owner
    3

    Keep what works.

    Train your team, document the method and name an owner so the work stays useful after handover.

See how we work together

When every experiment starts from scratch,
your business keeps paying for the same lesson.

Keep the lesson.
Build from there.

Carry useful lessons forward. Recorded decisions and working methods feed the next task. A named owner has a return path to the records to keep the knowledge current.
Knowledge you can reuseAn owner keeps it current

Start with the thing
that keeps getting stuck.

You do not need an AI strategy before the conversation. Bring a real problem and a picture of what better would look like.

Start a conversation