The tools are ready. Now your people can be too.

Access to AI tools does not automatically lead to good use of them. Without training, people often use AI for a handful of simple tasks, are unsure what is allowed with company data and struggle to judge when the output can be trusted. Practical training builds the skills and confidence to use AI well, sets shared standards for quality and safety, and helps the whole organisation get value from the tools it is already paying for.

Programmes typically include AI fundamentals, effective prompting, checking and improving outputs, responsible use of data, and role-specific workflows for tasks such as research, writing, analysis, reporting and creative development. Leadership sessions focus on strategy, value and change management. We tailor every programme to your tools, policies and priorities rather than delivering a generic course.

Everyone who will work with AI, which is increasingly everyone. We run sessions for leadership teams, marketers, creatives, sales and service teams, operations and new starters. Each group gets training built around its own work. Mixed sessions are useful for shared foundations, while role-specific sessions are where people build the habits that change their day-to-day output.

Both. Many clients prefer in-person workshops at their offices or at our home in Battersea Power Station for the initial programme, then follow up with shorter online clinics. Fully remote programmes work well for distributed teams. We keep groups small enough for hands-on practice, because people learn AI by using it rather than by watching slides.

We train on the tools your team already has or plans to use, which commonly include ChatGPT, Claude, Microsoft Copilot, Google Gemini and the AI features built into platforms such as HubSpot, Canva, Shopify and the major ad platforms. The principles we teach carry across tools, so your team stays capable as the technology changes.

Adoption is built after the training session as much as during it. We create playbooks and prompt libraries people can return to, train internal champions who support colleagues, run follow-up clinics on real questions and measure usage and confidence over time. Leadership involvement matters too, so we help managers set expectations and recognise good practice within their teams.

Yes. A clear policy gives people the confidence to use AI without worrying about getting it wrong. We help you set practical guidelines on which tools are approved, what data can and cannot be shared, when human review is required and how to handle brand, accuracy and copyright questions. We keep policies short and readable, because a policy nobody reads protects no one.

We agree measures at the start, which usually include confidence and skill levels before and after, how widely and how often the tools are used, and time saved on specific tasks. Where possible we also look at business outcomes such as faster turnaround or higher output quality. We report on progress in plain language and use the results to shape follow-up sessions.

Often that is the best approach. When we build agents or AI-powered workflows for a team, training ensures people understand how they work, trust the results and know how to get the most from them. Equally, training often surfaces ideas for automation that the team then asks us to build. Both sides of the work strengthen each other.

We usually begin with a short conversation and a quick assessment of where your team is today. From there we propose a programme sized to your organisation, from a single leadership workshop to a full adoption programme across several teams. We will recommend the lightest approach that will genuinely change how your people work.