Consulting services

Help your team use AI well

Training should leave people able to do something useful when they return to work. We start with their tasks, not a tour of every feature in an AI tool.

Your starting point

Our people need help using AI effectively.

This is useful when people have different levels of confidence, existing training feels too general, or a new workflow needs a careful introduction. Sessions can focus on a role, a team or a small set of tasks. We agree the audience and intended learning before deciding the format.

Questions we work through

Which tasks would people like help with?
What tools are they allowed to use, and what information can they share?
How should they give instructions and useful context?
What do they need to check before using an answer?
Where should they ask for help when they're unsure?

How we work together

1. Choose the useful tasks

We discuss the team's roles, starting knowledge and approved tools. You supply suitable examples or we prepare clearly fictional practice material. We agree the tasks people should be able to attempt afterwards and the boundaries set by your organisation.

2. Prepare the session

I develop examples, exercises and review questions around those tasks. We check access and practical arrangements beforehand. If people cannot use a live tool, we agree an alternative format rather than assume a demonstration is the same as hands-on practice.

3. Work through it together

We practise giving context, refining a request and reviewing what comes back. Participants compare useful and weak answers and discuss what they would change. The aim is to understand the task and the checking, not memorise a collection of supposedly perfect prompts.

4. Leave something usable

The team receives the agreed examples and a concise working guide. We review what participants can do and where more help is needed. Follow-up sessions or feedback on later work can be included in the proposal, with a defined limit.

What this could look like

A situation you might recognise

A team that prepares recurring updates could practise turning approved notes into a first draft. We would compare a vague request with one that explains the audience, purpose and source information. Participants would check whether the draft introduced facts, missed important details or used the wrong tone, then revise it. That exercise gives people a repeatable way to prepare and review drafts, without promising that every future output will be correct.

What you bring

The audience, typical tasks and current level of familiarity
Your approved tools and information-sharing rules
Suitable practice examples, or agreement to use fictional material
Practical details such as group size, access needs and session format

We'll agree how information is shared before you provide anything sensitive.

What you receive

A session plan matched to the agreed tasks
Guided exercises and reusable examples
A short working guide covering use, checks and when to ask for help
An agreed summary of follow-up needs, where included

Keeping the work clear

Training does not replace your organisation's policies or specialist advice. It does not certify competence in every AI tool or guarantee adoption. Large groups, advanced technical subjects and additional sessions need their own scope so the promised level of support stays realistic.

How pricing works

Training is quoted as a package covering preparation, delivery and agreed materials. The fee depends on the group size, number of sessions, subject depth and amount of custom preparation. Remote or in-person arrangements are agreed upfront, including any travel costs.

You'll receive a written scope, fee, payment terms and any applicable tax before the engagement is confirmed. Ongoing support is optional and agreed separately.

Let's talk about your work

Tell me who the training is for, which tasks they want help with and which tools they can use.

Discuss this service

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