kapoey.

Practical AI for growth and operations.

You shouldn’t have to
figure out AI alone.

We help your business find its next opportunity and run the work behind it. From sourcing and nurturing the right leads to connecting tools and reducing repetitive work, we build AI around your strategy.

Clear targets. Shared workflows. A team that knows how to use them.

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

AI for lead and opportunity development.

Find the right people.
Build the next opportunity.

Growth takes more than a list. It takes a clear target, relevant outreach and the follow-through to turn interest into a real conversation.

We help you source, vet, engage, nurture and manage leads and opportunities with AI, built around your business strategy.

For sales, that starts with your ideal clients and the problems you solve. For acquisitions, it starts with your buy box: the criteria that define a business, property or opportunity worth pursuing.

Start with one focused workflow. Build toward a coordinated fleet of AI sourcing and outbound workflows, each working a defined market, prospect group or opportunity type.

Your team sets the criteria and outreach boundaries. We measure fit, meaningful replies and pipeline progress before expanding volume.

Explore AI for growth
Your strategyIdeal clients. Custom buy boxes.

Who fits, what matters and what rules someone out.

  1. Source
  2. Vet
  3. Engage
  4. Nurture
  5. Manage
A pipeline your team can act on.

Relevant context. Clear ownership. A next step.

Illustrative workflow. Results inform the next search.

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.

Grow the pipeline. Strengthen the operation.
Start where it matters most.

AI lead and opportunity development.

A targeting brief, sourcing and qualification workflow, outreach and nurture sequences, and a pipeline with owners, next actions and agreed measures of progress.

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

    Choose the first outcome.

    Define the opportunity or workflow with your team. Agree on who or what fits, what matters and how to recognize a useful first result.

  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

What would move
your business forward?

You do not need an AI strategy before the conversation. Bring an opportunity you want to pursue or a workflow you want to improve, plus a picture of what better would look like.

Start a conversation