One-to-one professional development
Which of these is you?
You already have the expertise. This work gets more of it into what you produce.
Leaders and executives
Executives, directors and senior managers who carry decisions about AI and still have plenty of their own work to do. That includes leaders of small not-for-profits and peak bodies, who set the direction and do much of the desk work themselves. This covers both: the judgement to know which AI proposals are worth backing, and real capability in the reporting, writing and analysis that fills your own week. What you build here shows, and a team that can see their leader using AI well moves faster than one that has been told to.
- Lead the change instead of catching up to it
- Talk about AI with confidence rather than bluff
- Model the behaviour you want your team to copy
- Judge which AI proposals are worth backing
Professionals in teams
Serious one-to-one AI coaching is aimed almost entirely at the C-suite, which leaves capable, ambitious professionals underserved. This work is often funded through a personal development allowance, or by a manager investing in someone on their team.
- Become the person everyone else asks
- Get visibly better at the work, not just faster at it
- Turn a development allowance into skills you use every week
- Build skills that survive the next tool change
Independent practitioners
A psychologist, an occupational therapist, a GP, a consultant, a small business owner. Working outside an organisation means never being handed the development an employer would provide, despite having a distinct set of tasks and obligations where AI could genuinely change the work.
- Get the development no employer is going to hand you
- Put your own templates, past reports and files to work, configured on your own machine
- Cut the admin that eats into billable hours
- Keep the judgement your clients pay you for firmly yours
Find out what’s possible for you.
Book a conversationWhat a self-paced online course cannot give you.
Most people wanting to get better with AI reach first for a course. That instinct is reasonable: for baseline awareness of a fast-moving field, a cheap self-paced course is a sensible tool. The limits are structural, not a matter of quality.
A course can make you aware. It cannot make you capable at your own desk.
A self-paced online course
- Video is fluent to watch, and that fluency feels like understanding without producing it.
- Learning at your own pace usually means consuming everything at once, the opposite of what makes learning last.
- Testing, where it appears, certifies completion rather than working as retrieval practice.
- Generic content can only address the generic professional, and how closely practice resembles the real job decides whether anything transfers.
- What it hands you is a set of use cases, and use cases date as fast as the tools do.
This work
- Built on your own live work, never on tidy demonstration cases.
- Spaced across weeks, with real work tried in between.
- Assistants and automations built from your own material, on your own machine.
- The capacity to meet an unfamiliar task next month and see the opportunity in it yourself.
That experimental disposition is the actual product, and it is what keeps you effective as the tools change beneath you.
You’ll learn three skills, practised on your own work: spotting the tasks where a large language model genuinely helps, working it with your own expertise, and the experimental thinking that makes both possible. The three skills, on Training
How it works
Four stages. What happens in each, and what you’re left with.
- 01
Discovery
A structured look at what you actually do week to week: your recurring tasks, the software you already use, the documents you’re responsible for producing. Gathered systematically, so the picture is complete rather than anecdotal.
You are left withA complete picture of your week, which everything after this is built on.
- 02
The build, done for you
You almost certainly sit on a wealth of material you rely on constantly: reference documents, past reports, templates, datasets, style guides. Most of it sits inert. Away from the sessions, we build automations and custom assistants that draw on it directly, set up on your own machine.
You are left withThe repetitive parts of your work starting from your own best material rather than a blank page.
- 03
The coaching
Sessions are spaced across weeks rather than crammed into a day. Real tasks, attempted on live work in between, become the raw material for the next session: what worked, what broke, where you got stuck, solved together.
You are left withSkill that transfers, because it was built on your own material.
- 04
Sustain
You are left withSkills you keep using after the sessions end.
Three sessions is a sensible default, but the number matters less than the design.
Start with a conversation.
Bring the part of your week you’d most like help with, and we’ll talk through what would help first.