Corporate AI Training
Give your team a better way to do the work.
Start with a task your team needs to complete. A sales brief. A report. A set of product images. A process that keeps getting repeated.
We build a practical learning program around that work, using the team’s approved information, tools and responsibilities. Participants practise producing something useful, checking it and improving the process.
What could your team work on?
Sales
Arrive prepared for the next conversation.
A salesperson needs to understand an account, connect the offer to the customer’s needs and prepare a useful follow-up.
The team practises researching an account, organizing the evidence, working from approved product knowledge and drafting a relevant response. It also learns to spot unsupported claims and decide what needs a manager’s review.
- Practical output
- A reusable account brief, a reviewed message or quotation draft, and a clear follow-up checklist.
Marketing
Turn one brief into a consistent set of material.
A product needs a catalogue image, a campaign idea and content for more than one channel.
The team practises using product and brand references, developing creative options, checking product accuracy and adapting selected work to different formats.
- Practical output
- A small campaign set with its brief, references, review criteria and reusable production instructions.
Operations and management
Make the report useful.
A manager receives spreadsheets, notes and updates from several people, then spends time working out what changed.
The team practises organizing the information, checking the source behind each figure, identifying exceptions and preparing a concise report for a decision-maker.
- Practical output
- A reviewed reporting workflow, a usable report and an exception checklist. Automation is added only where the inputs and checks are clear.
HR and learning teams
Make company knowledge easier to use.
Employees keep asking the same questions, or onboarding depends on whoever is available to explain it.
The team practises turning approved policies and procedures into clear instructions, learning material and a source-based question-and-answer structure. It learns to flag missing information rather than invent an answer.
- Practical output
- A sample onboarding module or knowledge resource, with an approval and update process.
Work with capable tools, at the right level.
Where appropriate, programs can include Codex, Claude Code, connected tools and reusable AI workflows. Participants do not have to arrive as developers. We match the exercise, access and support to the team’s experience and the complexity of the task.
People learn when to use AI, what information it needs, how to check the result and when a person must take over.
How is the program designed?
Choose the work.
Identify the department, current task and what a useful result looks like.
Prepare safe examples.
Use approved or de-identified company material and agree what may be shared with the selected tools.
Practise and review.
Work through the task, compare approaches and review the output against clear criteria.
Leave with a reusable method.
Keep the working instructions, templates or project material that the team can use again.
Check application.
Where included, compare what participants can complete before and after the program and review the quality of their work.
The format follows the need. Guided sessions, recorded material and a practical team project can be combined without treating attendance as the outcome.
See related work.
Fresh Fit
A specific B2B offer becomes an AI-assisted advertisement, connected to the realities of production, delivery and payment follow-up.
Cookie Munchsters
Product information and reusable character references carry through a bilingual catalogue and campaign material.
Learning-video examples
Recorded onboarding, evacuation and research-question demonstrations show how source material can become a clear lesson. The fictional and safety examples remain demonstrations, not company-specific policy or safety advice.
What would make AI useful for your team?
Tell us the department, the work it handles and where people lose time or confidence. We will use that context to propose the learning task, outputs and review approach.