Kenneth Younge Advisory

Independent and Trusted

Talking to Chat is the easy part.

The hard part is everything else: deciding what AI Agents should do, checking what they actually did, adapting your organizational processes, and building the habits you need to keep up after the consultants leave for the next project.

I help executives and teams do all of that on real projects that already hit your bottom line.

Book an introduction See engagements

Kenneth Younge, Ph.D. - Former Associate Professor, EPFL

Kenneth Younge speaking at a lectern during an executive program at EPFL
Fig. 01 Teaching executives at EPFL.
34 years

Management consulting

7 companies

Co-founder & entrepreneur

14 years

Professor, research, teaching

15 awards

Outstanding teaching & research

Where AI goes wrong

AI is fast.
But it also has to be right.

Most AI trouble is not technical. It shows up in three places, usually after the pilot when you are hopelessly committed.

Direction

Agents run off the rails

AI agents work quickly, tirelessly, and sometimes exactly wrong. You need to frame the work, set limits, and own the decisions. You need to stay in the loop.

Verification

Plausible is not correct

Output that looks right is not the same as output that is right. Without rigorous and independent cross-examination, small errors compound quietly.

Continuity

Nothing is written down

Decisions, context, lessons, and learnings evaporate between sessions, tools and people. How often do you find yourself starting over again from zero?

The above are management problems, not tech problems.
And that is where I work: with real people and real projects.

Engagements

Five ways to work together.

Every engagement runs on your real work, and I deliver it personally. No platform to buy, no subscription, no bench of junior consultants.

For leaders

Executive Advisory

One-on-one sessions for people who direct AI work: how to frame it, judge it, and build habits that compound.

Regular sessionsDetails → Second opinion

Workflow Audit

An independent read of how your AI work is really done: what the agents did, what they skipped, and what to tighten.

Written findingsDetails → When it sprawls

Project Rescue

A plan on file, tasks tracked, records kept and a clean thread to resume from - before more budget burns.

Scoped after one callDetails → Getting started

Axis Onboarding

Your first disciplined AI project, set up on your own material: a plan, a first task handed to an agent, and a first independent check of its work.

Half day, hands-onDetails → For teams

Axis for Teams

Shared conventions so a team runs one disciplined project instead of five private chats.

One plan for the whole teamDetails → Also

Talks & workshops

Keynotes for leadership teams and hands-on workshops for groups adopting AI agents.

On site or remoteDetails →

Engagement details and published pricing

How an engagement runs

One route, four stages.

  1. Stage 1

    A conversation

    You describe the project in a paragraph or a short call, and get a straight answer on whether outside help is worth it.

  2. Stage 2

    A look at the real work

    I review what is actually being done - the briefs, the outputs, the records - rather than a slide about it.

  3. Stage 3

    Working sessions

    We work on your projects together. You stay in charge of the work; I make sure it is directed, checked and recorded.

  4. Stage 4

    Records you keep

    You finish with plans, decisions and evidence on file, and with the habits to keep producing them without me.

The Axis Workflow

A powerful option, never a requirement.

I created the Axis Workflow™: a free, open-source way to run AI agents on real projects, with a plan, tracked tasks, write-once records and an independent check of important work.

Where it fits, we can use it to give your project a trail you own. Where it doesn’t, we won’t - the advice stands on its own.

axisworkflow.ai - a separate, free project

What participants say

Same teacher. Same standards. New tools.

The practice is new; the teaching behind it is not. These comments come from participants in Data Science for Managers, the executive program I founded and directed at EPFL.

Demystified AI for me. It showed the potential of machine learning, while also making clear its limitations. …
Régis HufChief Executive Officer, Alpes Capital AG
… Prof. Younge gives an extensive overview of the field and the course helped me to improve how I work with our Machine Learning engineers. …
Alen ArslanagicChief Executive Officer, Visium
Participants working on laptops during the Data Science for Managers program, with data-science textbooks on the desk
Fig. 02 Data Science for Managers in session at EPFL.
The course is like a Neural Network on steroids. Content is deep and wide, but very well explained, and delivered with passion by Ken and the team.
Roman SchaferVP Digital Operations, ABB

Read all 26 testimonials

A short talk

Putting machine intelligence to work.

Prefer to listen before you write? This short talk, given at Applied Machine Learning Days at EPFL in 2020, covers the subject in my own words.

The video is hosted on YouTube and loads only when you press play, in YouTube’s privacy-enhanced mode.

Next step

Tell me about the project.

A paragraph is enough to start. You will hear back from me directly.

Book an introduction Write to me