AI Training
Your staff are already using AI. We make sure they use it well.
By now most of your staff have tried ChatGPT or Copilot, usually on their own and with no guidance. We train each team on its own documents and tasks, show managers how to supervise it, and help you agree the rules on confidentiality. Along the way people tell us about the repetitive work that eats their week, and we write it down.
At a glance
- First step
- A conversation about your teams and what you want to change
- How long
- Usually one to three weeks from first call to first session
- Your team's time
- One conversation with whoever is sponsoring it, then the sessions themselves
- You receive
- A training outline and a fixed fee before anything is booked
- After that
- Programmes usually run two to six weeks, in half-day or full-day sessions
Every stage is a fixed fee agreed in writing before it starts, and you can stop after any stage.
Signs this is the problem
When to call us about this
- Staff are using AI tools on their own, and nobody's sure what's being pasted into them.
- A few people get real value from AI. Most tried it once and gave up.
- Managers are asked to approve AI use without a clear idea of what it can and can't do.
- You've had AI training before. It was general, and nothing changed on Monday morning.
- There's no agreed position on confidentiality, accuracy or what's acceptable.
What we do
Staff who use AI well, and safely, in the work they already do.
- Sessions for each role, built on the documents, tasks and tools that team already uses.
- Hands-on use of tools your staff can already reach, such as ChatGPT, Microsoft Copilot or Gemini, for proposals, reports, customer replies and spreadsheets.
- A session for managers on what AI does well, where it goes wrong and how to supervise it.
- Guidance on responsible use, covering confidentiality, checking output and client or customer data.
- Exercises on real work, so people leave with something they can use the next day.
- A short written list of the repetitive tasks staff mention during training that might be worth automating.
Often today
- Staff try public AI tools alone
- Client data pasted in unchecked
- Output used without review
- Rework when errors surface
After the work
- Agreed rules for AI use
- Practice on each role's real work
- Output checked before use
How an engagement runs
From first call to handover
- 01Understand
We talk about your teams, their roles, the tools they have and what you want to be different afterwards.
- 02Design
We send a training outline for each group, and you approve it before any session is booked.
- 03Deliver
Sessions in person or online, using examples from each team's own work.
- 04Follow up
A summary of what we covered, the rules agreed and the opportunities your staff pointed out.
What you receive
What you’ll have at the end
- A training outline for each group, agreed with you.
- The sessions, with material staff can keep and come back to.
- A short guide to responsible AI use, written for your organisation.
- The list of repetitive tasks raised in training, with notes on which might suit automation.
Illustrative scenario: Law firm
Partners who know how their associates are using AI.
Associates at a mid-sized law firm have begun using public AI tools to draft correspondence and summarise documents. The partners don't know which tools are in use or whether client information is being entered into them.
We would begin with a partners' session on what the tools can and can't be trusted to do, and agree rules on confidentiality and checking. Associates and support staff would then be trained separately, using the firm's own document types, on drafting, summarising and review with those rules built in. Repetitive tasks raised during the sessions would be listed for the partners to consider afterwards.
more issues resolved per hour by 5,179 customer support agents given an AI assistant.Brynjolfsson, 2023
of AI users bring their own AI tools to work.Microsoft and LinkedIn, 2024
of people who use AI at work have had any AI training from their employer.Microsoft and LinkedIn, 2024
Connected services
What often comes next
Questions
Worth asking before a first call
Is this general AI awareness training?
No. Each session is built around particular roles and the work those people do, so the time goes on practice.
Which AI tools do you train on?
The ones you already have, or are prepared to adopt. We don't sell software, so we've no reason to push one product over another.
Do we need an AI policy first?
No. Agreeing sensible rules on confidentiality and accuracy is part of the work, and the training is a good place to settle them.
Can managers and staff be trained together?
They can, but we usually suggest a separate session for managers. The questions they need answered are different.
Discuss AI training for your team
Start with one problem
Tell us who the training is for and what you’d like them to do differently afterwards. We’ll reply to set up a conversation about scope.
- Within two working daysAn email back from someone who’s read your message properly.
- A 30-minute callTo understand the problem and whether we’re the right people for it.
- Within a week of the callA written scope and a fixed fee. You’re under no obligation to go ahead.
By email
Write to info@asledatalabs.com with your name, organisation and role, and tell us: who is the training for, and what should change in their work?
Discuss AI training for your teamWe use your details only to reply to you. See the privacy notice.