AX Grow

Teach in the field,
build together,
leave it in the organization

We train your team on your own work and build,
together, an AI agent you use right away plus a rollout roadmap.

Talk about building it in-house
  • 16일

    From training to co-building and rollout design

  • Tailored to your work

    Learning grounded in your work and your data

  • Internal rollout

    One team's experience becomes the organization's execution system

How AX Grow Works

Learn, build together,
and spread it across the organization

Real internalization only happens
when the three stages connect into one program.

  1. 1

    Field-tailored training

    Instead of general AI theory, we teach the concepts and methods needed
    based on each participant's role and actual work.

  2. 2

    Co-building on real work

    AXpresso FDEs and your core in-house team
    design and build an AI agent that performs real work.

  3. 3

    Internal rollout design

    We distill the first project's standards and experience into an execution roadmap
    covering the next target work, ownership structure, and rollout order.

Why It Works

Sitting through training and
executing under your own power are different things

One-off training

They know the concepts, but
it stalls at real application

Participants are left alone to bridge the gap between what was taught and the work in front of them.

AX Grow

Learn by building on your own work
and carry it to the next task

Training, co-building, and the rollout plan connect, so experience and working standards stay inside the organization.

Best Fit

AX Grow fits
organizations like this

Core team

You have a core team inside
who will carry the execution

Your IT, data, digital-transformation, or business-innovation owners want to build AI execution capability themselves.

Real results

You want training and real results
produced together

Rather than training that ends with a certificate, you want
a real deliverable within the program period.

Organizational rollout

You want one team's success
to reach the whole organization

You want to scale the next target work and
participating teams systematically from the first project.

16-Day Process

In 16 days, knowledge becomes execution capability

We understand the organization and the work first, then train,
complete a real task together, and connect it to the next rollout plan.

Discuss the 16-day program

Before designing the training, check your team's readiness
See AI Fluent

  1. Day 1~3

    Assessment and training design

    Assess the participating team's capability and work, then set learning goals and the co-build task.

  2. Day 4~5

    Field-tailored training

    Intensive learning on the AI methods and agent design principles needed to solve the real task.

  3. Day 6~15

    Co-building on real work

    Experts and the in-house team design and build the AI agent together, gaining execution experience.

  4. Day 16

    Sharing results and rollout design

    Wrap up the finished result and the learning, and lock in a roadmap to extend to the next work and teams.

What Remains

When the program ends, four things remain in the organization

  • Organization capability assessment

    What the team does well, what needs strengthening, and which work to tackle first become clear.

  • Role-tailored training materials

    Learning content and usage standards built on your own work and cases stay with you.

  • An AI agent built together

    Not a teaching example — a real deliverable whose structure and behavior the participating team understands.

  • Internal rollout roadmap

    The next target work, participating teams, owners, and execution order, written up as a concrete plan.

Internal Capability

More important than the first agent is
your team's power to start the second

The goal is not to deliver one project, but to make the organization able to run AI initiatives again and again.

  • Criteria for choosing tasks

    The team decides for itself which work suits AI.

  • The experience of building together

    The internal team experiences the whole process of designing and validating an agent firsthand.

  • An execution system that spreads

    The order of expansion to other teams and the owning roles carry on inside the organization.

Build vs Grow

Start in the way that fits your organization's goal

  • If a fast build comes first

    AX Build

    AXpresso assesses the work and builds a production-ready AI agent within 20 days.

    See AX Build

  • If building it in-house is the goal

    AX Grow

    Field-tailored training and co-building create the team's execution capability, all the way to designing the internal rollout.

FAQ

Questions we hear most before adoption

How is this different from ordinary AI training?

We use your company's real work as the learning task, and right after the training, experts and your in-house team build an actual AI agent together. Training and real application are not separated.

Who should take part?

It works best when the people who know the work take part alongside the IT, data, or digital-transformation owners who will carry the execution forward.

What can our team do once the 16 days are over?

They can pick suitable work, understand the agent's structure and validation criteria, and start the next application themselves following the rollout roadmap.

It does not end with this project —
your team starts the next one

We assess your training audience and the co-build task together, then design a 16-day program that fits your organization.

Talk about building it in-house