Teams with seats and little use
You pay for AI licences and only a few people use them. We train the rest on tasks they already do, using the seats you're paying for.
Solutions
Train Each Person on Their Own Work
AI 101 gives everyone the basics in 60 minutes. Then each role gets a 90-minute class on its own tasks and leaves with a working skill or scheduled task.
Trusted by businesses like yours
Built Around Your Own Tasks
We train people on the work they do every week, such as quotes and reports, in the tools they already use, so what they practise carries straight back to their desks. Training goes further when leaders back it. In Anders Humlum and Emilie Vestergaard's study of about 25,000 Danish workers, 93% had used AI chatbots at work where employers encouraged use, supplied a tool and trained staff, against about 41% where employers took no steps.
Why AI Training Often Fails to Stick
- 01
People taught themselves
In Microsoft and LinkedIn's 2024 survey, only 39% of AI users had received AI training from their company. The rest learned without help, often on personal accounts.
- 02
The demo used someone else's files
A general session shows the tool working on sample documents. When people try it on their own work and get a weak result, they go back to the old way.
- 03
Use fades after launch
In a trial Microsoft ran across 66 firms, weekly use of its AI assistant fell from a peak of 55% of licensed staff to just under 40% by week 12.
From the Basics to Each Role's Own Tasks
Training is the third of the four steps we follow with every client. Sessions run on site or live online.
- 1
Pick the work to practise on
We start from the workflows we built, or from two or three tasks each team repeats every week, such as the Monday report or meeting notes.
- 2
AI 101 for everyone
A 60-minute session for the whole team on the basics, including how to check what AI writes and which client information never goes into a prompt.
- 3
Course 102 for each role
A 90-minute class per role, built on that team's own tasks, in the tools each person uses every day. Every class ends with a working skill or scheduled task.
- 4
A named owner
Each workflow gets an owner on your team who knows how it works and keeps it current, so the habit carries on after we leave the room.
- 5
A check at 30 days
Thirty days after launch we see who is using each workflow and compare hours saved with the audit's baseline, then fix whatever is getting in the way.
How it works
Four Steps, From Audit to a Team That Runs It
Building is about a third of the work. The rest is finding the right problem first and getting people to use what we build, so every client gets the same four steps.
Week
12345678
Audit to trained team in 6 to 8 weeks
Before step 1: a free 30-minute call
You run one of our prompts in your own AI tool and see what it finds in your business. No financials or client names needed.
01 · Audit
Find what's worth fixing
A short questionnaire for leadership, then 30 to 45 minute one-on-ones with leaders and the people doing the work. We review your tools, data and AI spend.
You get
Ranked opportunities with the hours and dollars each one saves, a data and settings check, and a 90-day plan. We walk leadership through it in a one-hour call.
Time: 2 weeks
02 · Build
Build it into the tools you have
We connect your existing tools to an AI agent and build skills, scheduled reports and agents that draft work for a person to approve. The smallest high-value item ships first.
You get
Working workflows in your own accounts, with written docs.
Time: 3 to 4 weeks
03 · Train
Train each person on what we built
AI 101 for the whole team, then role sessions on the workflows we built, in the tools each person uses every day. Each workflow gets a named owner.
You get
Every person set up and able to run their workflows.
Time: 1 week
04 · Support
Check the results, then keep it working
A 30-day adoption check-in, where we compare hours saved with the baseline from the audit. A monthly retainer covers fixes, updates as tools change and light new work.
You get
A usage review, fixes and your next priorities.
Time: Ongoing
What Each Team Leaves With
- AI 101: a 60-minute session on the basics for the whole team
- Course 102: a 90-minute class for each role, on its own tasks
- A working skill or scheduled task from every Course 102 class
- Everyone set up in the tools they use every day
- A named owner for each workflow, trained to run it
- A 30-day check on who is using what
- Sessions on site or live online, in the U.S., Canada or the U.K.
Who the Training Is For
Mixed skill levels
Some staff use AI every day and others haven't started. AI 101 puts everyone on the same footing, and Course 102 is built around each role's own work.
Leaders who set the tone
Gallup finds employees are 1.7 times as likely to use AI a few times a week or more when they strongly agree their manager actively supports it. AI 101 is for the whole team, leaders included.
Firms with client data to protect
Law firms and healthcare teams learn which information stays out of AI tools and how to check a draft before a client sees it.
Common Questions
Still deciding? On a free 30-minute call we'll tell you what fits.
Do people need any AI experience?
No. AI 101 starts from the basics, and Course 102 is built on each role's own tasks, so it suits daily users and people who've never opened an AI tool.
Is the training on site or online?
Either. We run sessions at your office or live online, for teams in the U.S., Canada and the U.K.
Which tools do you train on?
The ones your team already pays for, such as Microsoft 365, Google Drive, HubSpot or Slack, along with your company's AI accounts. People practise in the tools they'll open the next morning.
What does training cost?
AI 101 and Course 102 are quoted per team. Training for each person is also part of the audit, build and train package, which starts at $7,500 USD.
What if people stop using it?
We check adoption 30 days after launch and compare hours saved with the audit's baseline. Where use has dropped, we find out why and fix it.
Related Research
Training · 6 min read
Training beats tools for AI adoption
In a Danish study of about 25,000 workers, more people used AI chatbots where employers trained them than where employers only supplied a tool. Encouragement went further than either, and all three together went furthest.
Training · 5 min read
AI training for employees lags far behind AI use
Staff are learning AI on their own, often on personal accounts, while small firms train least. Studies of AI mistakes show what a training program should cover.
Research · 6 min read
Many AI seats go quiet after the first few weeks
Use of paid AI seats peaks soon after launch, then settles lower. In a large Copilot trial, a worker's employer predicted their use better than their own work habits did.
Free 30-minute call
Plan Training Around Your Team's Real Work
On a free 30-minute call we'll ask which tasks each team repeats every week and suggest where training should start.