From frequent
to fluent.

For the whole workforce. Not just the power users.

THE GAP

AI is everywhere.Value isn’t.

Copilot for everyone. One power user with agents. One team automating. Pockets, not scale.

See the numbers +Close –
~9 in 10organizations regularly use AI in at least one business function.McKinsey · The State of AI in 2026
44%say AI is scaling across their enterprise.McKinsey · The State of AI in 2026
37%attribute any EBIT impact to AI, flat versus the previous year.McKinsey · The State of AI in 2026
39%of AI users had received AI training from their company.Microsoft & LinkedIn · Work Trend Index 2024
63%of employers see skill gaps as the biggest barrier to transformation by 2030.World Economic Forum · Future of Jobs Report 2025
+15%issues resolved per hour by support agents with a GenAI assistant; less experienced workers improved the most.Brynjolfsson, Li & Raymond · QJE, 2025

In the EU it is also a legal duty: since February 2025, Article 4 of the AI Act asks organizations that use AI to take measures to build their staff’s AI literacy. European Commission · AI literacy Q&A

ONE METHOD

Diagnose.Simulate.Upskill.

Where you are. Where you want to be. How your people get there.

How it fits together +Close –
AS ISWe measure how AI-ready the organization is, using its real data.
TO BEWe define the GenAI-fluent company you want to be, and test it before changing anything.
HOWWe take the workforce to the AI fluency level the destination requires.

Start with any product, for a team, a department, a function or the whole company. What Upskill measures feeds back into the Diagnosis and recalibrates the Twin.

DIAGNOSIS · AS IS

Know where youreally stand.

An AI Readiness Index built from your real data, not from opinions.

What goes in, what comes out +Close –
INEmployee and manager surveys. AI tool usage data. Roles, processes and skills.
OUTA maturity and gap map. Where adoption and resistance sit. Where to act first.

DIGITAL TWIN · TO BE

Test the changebefore you make it.

Your real organization, not the org chart.

How it works, and how it protects people +Close –

A model of how work, knowledge and influence really flow, to test AI adoption and organizational scenarios before moving a single piece.

Leadership never sees an individual. Not by policy. By architecture.

01Your EU cloud
02Synthetic employees
03Only aggregates

UPSKILL · HOW

Four levels.One loop.Measured.

From everyday use to agents built by the teams themselves.

The four levels +Close –
LEVEL 1Foundational useAI assistants in daily work, used safely and with judgment.
LEVEL 2Applied to the roleUse cases specific to each function.
LEVEL 3Work redesignProcesses and workflows rethought with AI.
LEVEL 4Agents and automationAgentic solutions built by the teams themselves.

Paths by role, a champions network, digital credentials and adoption measurement.

RESPONSIBLE AI

Fluent isn’tresponsible.

A fluent user can still leak data, trust a hallucination or scale a bias.

How we handle it +Close –

Responsible AI is a skill, so we train it like one. It is part of every level, not a separate compliance module.

More valuefrom every token.

Let’s get AI to everyone. Responsibly.

hello@kublaikan.com →