Working AI Fluency gives managers and their teams hands-on AI fluency, from in-person workshops to a self-paced programme that reaches the front line. Teams learn by building on our platform, using their own work: about 70% hands-on, 30% theory. It works with Copilot, Claude or ChatGPT. Business leaders get efficiency they can measure; HR and L&D get capability they can show the board.
About 70% of every session is hands-on; about 30% is theory. Participants, most of them non-technical, build working AI on our platform using their own workflows: drafting, document checks, analysis, reporting, and the first version of a use case they can take back to their team. Nothing built in a session connects to your systems; use cases that go forward follow your own architecture, security and change process.
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For GCC and technology teams, the use-case sprint can run as a hackathon on synthetic or anonymised data that your security team signs off; client data stays out.
For HR, L&D and talent leaders
A licence is access. Fluency is what turns access into productivity.
39%
of people using AI at work had received AI training from their employer.Source: Microsoft and LinkedIn Work Trend Index, 2024.
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What AI, generative AI and agents really are; using AI well day to day; what data can go where.
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Spotting use cases; how AI agents are built; briefing and directing the work.
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Judging vendors; build or buy; responsible AI; your 90-day plan.
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Teams build and cost use cases from their own work, then present them.
Examples are tuned to the role: business and operations, or product, project and technology teams. Everyone takes the same assessment before and after.
Yes. Most participants are non-technical. They build on our platform without writing code.
Those are content libraries. This runs on your team's own work, about 70% hands-on, ends with use cases you can fund, and measures the change.
Start from a real workflow with a measurable problem. Check data and governance early, then cost it in a one-page brief. The use-case sprint teaches this method.
Yes. On Copilot Chat, exercises run in Outlook and the Microsoft 365 Copilot app. With Microsoft 365 Copilot, they run inside Word, Excel and PowerPoint.
Train on what your people already have. The judgment is the same across tools: what data can go where, and how to check the output.
Workshops work best to start and for managers; self-paced scales to large teams and the front line. Many organisations combine them.
As a sampled, self-reported measure from learners, clearly labelled. We never present it as a system figure.
Yes. Live sessions run across time zones, and the self-paced programme works anywhere.
Article 4 may apply if your organisation provides or deploys AI systems in the EU market; take legal advice on your position. We can map the workshop to Article 4's AI-literacy duty and to your own AI policy.
It depends on headcount, format and tools. We quote after a first conversation or the 20-minute check.
Their programmes teach their own tool. We teach judgment across tools, on your own work and under your data rules, and we measure the change. Run us alongside them.
Teams work on approved or anonymised samples of their own work. Data and security (above) covers what stays out of the platform. We sign NDAs and complete your vendor security questionnaire.
Tell us your function, industry and team size. We'll design the first workshop around your work, or start with a 20-minute adoption check.
