AI adoption · Nodx
Use cases · AI adoption

Get every role using AI well, in their real work

Licenses don't change how people work. Agents take every person from understanding AI to using it safely in their own tasks, and show you who can.

Request an introSee how it works
  • Onboarding
  • Foundation
  • Practitioner
  • Field
  • Manager Analytics
AI in client workSix levels
Level 6 · Create

Designs a new AI workflow the whole team adopts.

Today

The problem

Why ai adoption rarely works the usual way.

  • Licenses, not usage

    Most people tried AI once. Few use it in the work that matters.

  • One course for every role

    A generic AI course can't show a banker, an engineer and a recruiter what changes in their job.

  • Risk nobody sees

    Client data pasted into the wrong tool is a risk you only hear about afterwards.

Foundation → Practitioner → Proficient

AI in client work, in six levels

Where every person starts, where they're going, and what they can do at each step.

AI in client work

AI adoption · six levels
  1. 01RememberFoundation

    Names what AI can and can't do, and the company's AI rules.

  2. 02UnderstandFoundation

    Explains why a prompt works, and why client data stays out.

  3. 03ApplyPractitioner

    Briefs an AI assistant for a real client task, without leaking data.

  4. 04AnalyzePractitioner

    Spots where an AI answer is wrong, biased or made up.

  5. 05EvaluateProficient

    Judges when AI should and shouldn't be used with a client.

  6. 06CreateProficient

    Designs a new AI workflow the whole team adopts.

Practitioner · What people practice

Practice with AI, safely

In the sandbox, people brief an AI assistant on their own tasks. The coach shows what changed between attempts, and nothing passes while client data gets through.

  • Prompting for their own role
  • Spotting wrong, biased or made-up answers
  • Keeping client data out, every time
Proficient · Real work

Missions in real work

The skill, used in the person's actual week. These are a few the Field agent might set.

  • Mission 01

    Prepare Thursday's client meeting with an AI assistant

  • Mission 02

    Automate one report you build by hand every week

  • Mission 03

    Review an AI draft before it reaches a client

After

What changes

For the people, their managers, and the organization.

  • Usage where it matters

    AI used in real tasks, role by role, not only logged in.

  • Safer by default

    Data rules practiced until they're a habit, before an incident teaches them.

  • Know who's ready

    See which teams can work with AI today, and which need support.

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