AI Training
AI training built around your people's actual work
Most staff are already trying AI tools, usually without guidance. We train teams and managers to use AI productively and responsibly in their own roles, and we note the repetitive work that surfaces along the way.
Signs this is the problem
Does this sound familiar?
- Staff are using AI tools on their own, and nobody is sure what is being pasted into them.
- A few people get real value from AI while most have tried it once and stopped.
- Managers are asked to approve AI use without a clear view of what it can and cannot do.
- Earlier training was general and nothing changed in daily work afterwards.
- There is no agreed position on confidentiality, accuracy and acceptable use.
What we do
Staff who use AI well in the work they already do.
- Role-specific sessions built on the documents, tasks and tools each team already uses.
- Practical use of tools staff can already reach, such as ChatGPT, Microsoft Copilot or Gemini, for proposals, reports, customer replies and spreadsheets.
- A management session on what AI is good at, where it fails and how to supervise its use.
- Responsible-use guidance covering confidentiality, accuracy checks and client or customer data.
- Practical exercises on real work, so people leave with methods they can use the next day.
- A short written record of repetitive tasks that staff raise during training and that may suit automation.
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
- Role-based practice
- Output checked before use
How an engagement runs
Four steps, starting small
- 01Understand
A conversation about your teams, their roles, the tools they have and what you want to change.
- 02Design
A training outline for each group, agreed with you before any session is booked.
- 03Deliver
Sessions in person or online, using examples drawn from each team's own work.
- 04Follow up
A summary of what was covered, the guidance agreed and the opportunities staff identified.
What you receive
Concrete deliverables
- An agreed training outline for each group.
- Delivered sessions with working material staff can keep.
- A short responsible-use guide for your organisation.
- A list of repetitive tasks raised during training, with notes on which may suit automation.
Illustrative scenario: Law firm
AI use at a law firm, brought under the partners' control.
Associates at a mid-sized law firm have begun using public AI tools to draft correspondence and summarise documents. The partners do not 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 cannot 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
Where this work leads
Questions
Asked before a first meeting
Is this general AI awareness training?
No. Sessions are built around specific roles and the work those people do, so the time goes on practice and not on theory.
Which AI tools do you train on?
The ones your organisation already has or is prepared to adopt. We do not sell software and have no reason to favour one product.
Do we need an AI policy first?
No. Agreeing sensible rules for confidentiality and accuracy is part of the work, and many organisations use the training to settle them.
Can managers and staff be trained together?
They can, but we usually recommend a separate management session, because the questions managers need answered are different.
Discuss AI training for your team
Start with one problem
Tell us who the training is for and what you want them to do differently afterwards. We will reply to arrange a conversation about scope.
Every enquiry gets a considered reply from a senior person, not a sales sequence