The Difference · the data flywheel

Not a tool company,
and not a training company

Tool companies cannot change people, and training companies have no tools.
Codepresso does both, and the connection between them.

The Problem

Many companies adopted AI,
few get results from it

The gap between adoption and results is not a budget problem; it is a structural one.

  • Enterprise AI adoption rate

    Adoption itself is already universal

  • Companies getting high performance from AI

    Most of those who adopted see no results

  • GenAI pilots with no P&L impact

    They never get from pilot to real P&L

  • Training content that reaches the job

    Most of what is taught never reaches the work

Diagnosis

One cause:
tools and people move separately

People who use AI and people who command it are different.
If tools (how work gets done) and people (capability) are not connected, the transformation never completes.

Companies that changed only one side

A company that only bought tools

Licenses bought, usage on the floor — "AI in a drawer". Approvals go through AI while the actual work stays the same.

A company that only ran training

Talks and certificates pile up but the work does not change. There is nowhere to apply what was learned.

Codepresso connects tools and people through data

Transforming how work gets done

AXpresso redesigns how work gets done around AI.

Transforming the people who work

Assessment and training create a growth loop of assess, learn, analyze, improve.

Position

Where we stand in the landscape

Companies that only assess have no prescription; companies that only train have no tools to execute with.
We do assessment, training, tools — and the connection.

The Cycle

A structure that sharpens with every cycle

  1. 1

    Data

    Tool usage data

    Who uses what, and how much

  2. 2

    Assess

    Fed into capability assessment

    Data makes the assessment precise

  3. 3

    Learn

    Tailored learning

    Fill exactly what is missing

  4. 4

    Improve

    Tool usage maximized

    Results become data again

Scenario

Three months with Kim

Real customer journeys, retold as one person's story.

  1. Month 1

    Usage: bottom 20%

    Is it the tool or the skill? The data answers.

  2. Month 2

    Assessment: weak prompt design

    SkillFit builds a custom learning path, and an AI tutor fills the gaps.

  3. Month 3

    Skill score 41 → 72

    The re-assessment becomes the case for rolling out to the whole team.

Industry

How would we use it at our company?

Pain Point

Equipment and quality data pile up, yet reports, inspections, and ordering are still manual.

AXpresso applied

Automated quality reports, an issue-monitoring agent, automated meeting notes.

Capability training mapping

AI Fluent assessment for line managers → training on practical prompts and agents.

Expected impact

Less repetitive paperwork; data-driven decision-making takes hold.

Start Anywhere

You need both to finish,
but start with whichever is more urgent

You can adopt one side first. The data connects later.

  • If the tools are urgent

    AXpresso first

    Work automation recovers time immediately, and the usage data it accumulates becomes the evidence for capability assessment later.

    See work automation

  • If the people are urgent

    Platform first

    Assessment and training prepare the organization, and the capability data becomes the blueprint for adopting tools later.

    See assessment and training

Start by diagnosing
which side is more urgent

The assessment results tell you what order to adopt in.

Start the 3-minute AI assessmentContact sales