What it is, in plain words

Many teams now have access to AI tools but are not sure how to use them well, or when to trust the answers. Our training closes that gap. We show people what AI can and cannot do, how to use it in their own work, and how to check what it produces. Leaders learn enough to make sound decisions about AI. Engineers learn how to build with it.

Technology adoption fails when teams aren't equipped to use it. Our programmes turn AI from an abstract buzzword into a practical, everyday skill across your organisation, from leadership to frontline staff.

How it works

• Tell us about your team. Who will attend, what they do day to day, and what you want them to be able to do afterwards.
• We shape the programme. We pick the right mix of literacy sessions, executive briefings and hands-on workshops for the people involved.
• We build exercises from your work. Practice tasks are based on your own use cases, so people learn on problems they recognise.
• We run the sessions. On-site at your office, remotely for distributed teams, or blended, to fit your schedule.
• We stay available afterwards. Ongoing coaching and office hours help with the questions that come up once people start using AI for real.

Programmes for every level

We design curricula around real roles and real tasks, so what your team learns on day one is something they can apply on day two.

• AI literacy sessions for non-technical staff: what AI is, what it does well, where it goes wrong and how to use it responsibly
• Executive strategy briefings for decision-makers who need to weigh up AI plans, budgets and risks
• Hands-on LLM and prompt-engineering workshops for engineers. An LLM (large language model) is the type of AI behind chat assistants such as ChatGPT. Prompt engineering is the skill of writing instructions that get reliable results from it.
• Ongoing coaching and office hours after rollout

What you get

• A programme shaped around your team's roles, level and goals
• Hands-on exercises built on your own use cases, not generic examples
• Sessions delivered on-site, remotely or in a blended format
• Ongoing coaching and office hours once your team starts applying what they learned

Who it's for

• A whole company that wants a shared starting point: an AI basics session so everyone understands the same ideas and the same ground rules.
• A leadership team before an AI budget decision: a briefing on what AI can realistically do for the business and what to ask before committing.
• An engineering team starting its first LLM project: a hands-on workshop working through prompts and practice tasks on its own use case.
• Staff who will run a new AI system day to day. For example, after a chatbot rollout we train teams to configure conversation flows, monitor performance and read the analytics.
• Teams spread across offices, who can join remotely or in a blended programme.

Online, offline, or blended

Run sessions on-site at your office, remotely for distributed teams, or as a blended programme, whatever fits your schedule. Every workshop is hands-on, with exercises built on your own use cases so the learning sticks.

Do staff need a technical background?

No. AI literacy sessions are made for non-technical staff, and executive briefings are for decision-makers. Only the hands-on LLM and prompt-engineering workshops are aimed at engineers. Every programme is pitched at your team's level.

Can the training be online?

Yes. We run sessions on-site at your office, remotely for distributed teams, or as a blended programme that mixes the two.

Will the content be generic?

No. We design each programme around real roles and real tasks, and the exercises are built on your own use cases.

What happens after the workshop?

Learning carries on once people start using AI at work. Ongoing coaching and office hours give your team a place to bring the questions that come up after rollout.

Planning to bring AI into your organisation, or have tools your team is not yet using well? Contact MAGO AI. Tell us who you want to train and what you want them to achieve, and we can shape a programme around it.