Almost every leader now has access to ChatGPT, Microsoft Copilot or Claude. Yet the benefits often stop at experimentation: a good prompt here, a quick summary there, but no dependable way of working. AI coaching closes that gap.

What is AI coaching?

Personal AI coaching is training that teaches you to use artificial intelligence safely, effectively and with good judgement in your own work. The focus is on your task: a decision, a piece of writing, a meeting or a process that repeats every week.

The term is also used for apps where AI itself takes the role of coach. That can help with reflection. But it cannot replace someone who understands your work, asks critical questions and follows a plan with you. In this guide, AI coaching means training with a human coach.

What does AI coaching deliver in practice?

The goal is a lasting skill, beyond knowing more tools:

  • A repeatable routine: AI helps you reliably improve a real task, beyond a one-off demo.
  • Your own judgement: You recognise when an AI result is good enough, when it needs checking and when AI is the wrong choice.
  • Clear boundaries: You know which data can go into which tool and where a human checkpoint belongs.
  • Processes that work: You deliberately divide up recurring work: what stays with you, what does AI prepare, and what can be safely automated?
The difference in one sentence

A course explains what AI can do. AI coaching helps you actually use it in your working week and assess whether the result is good.

Who benefits from AI coaching?

Especially people with decision-making or communication responsibilities: leaders, senior specialists, founders, consultants and product owners. They need a thinking partner for work quality, prioritisation and responsible use, beyond an introductory demo.

It is a good fit if you …

  • bring a concrete, recurring task you want to improve;
  • can reliably set aside one hour a week to practise;
  • have tried AI, but have not developed a consistent way of working.

It is less suitable if you are looking for fully implemented software, legal advice or the cheapest possible video course.

How to recognise good AI coaching

The market is young and programmes vary widely. These six questions can help you choose:

  1. Does it start with your task? Or with a list of tools and a fixed curriculum?
  2. Is there a regular rhythm? Skills develop through repetition, beyond a single workshop.
  3. Does it address quality as well as speed? A good coach asks how you recognise a good result.
  4. Are data and tool boundaries taken seriously? Safety belongs at the beginning.
  5. Does the coach have practical experience? Look for verifiable experience using AI in organisations.
  6. Are you becoming more independent? The goal is for you to choose the next step yourself eventually.

How AI coaching works at WORKAI OUT

Start with a free 15-minute introductory call on Microsoft Teams. We discuss your role, goals, real tasks, and tool and data boundaries. You will then know whether a coaching programme makes sense for you and what we would work on.

The Premium plan runs for three months with four personal 60-minute sessions per month. Your individual AI training plan evolves with your practice: we test a concrete workflow for writing, decisions, meetings, processes or recurring work, check quality and boundaries, and record what works in the monthly review. Between sessions, you get focused feedback. Your task determines which tools we use, whether ChatGPT, Microsoft Copilot, Claude or your existing tools.

Your coach is Jannik Reinhard: Head of AI at Epic Fusion, 5× Microsoft MVP for AI Platform and Security, and Microsoft Certified Trainer.

How much does AI coaching cost?

WORKAI OUT offers three plans. All prices exclude VAT: Community at €190 per month, cancellable monthly, with resources, peer exchange and one live session per month. Premium at €790 per month for three months (total investment €2,370), with four personal sessions per month, a training plan, focused feedback and a monthly review. VIP at €1,890 per month with two hours of personal time per week, currently available for the waiting list.

Many participants use a training, team or innovation budget. In the introductory call, we define the concrete work outcome so you can explain the value internally.

Your first step

Write down a task that lands on your desk at least twice a month and where better quality or faster preparation really matters. If something immediately comes to mind, AI coaching is probably useful, and the introductory call is the quickest way to find out.