Most AI training explains what AI is. Our corporate AI training is built around what your team does all day: the tasks worth handing over to generative AI tools, the ones worth keeping, and how to tell the difference without waiting to be burned by it.
Most teams already have access to capable AI tools. What they lack is a shared sense of where those tools are reliable, where they are not, and what to do when the answer looks right but is not.
Examples come from your workflows. Generic demos are the fastest way to lose a room and the slowest way to change behaviour.
We spend real time on where AI gets things confidently wrong, because that is what determines whether people trust it appropriately.
Sessions are run by the engineers who build these systems, so the answer to "does that actually work" is first-hand.
Each AI workshop can be delivered on its own or as part of a wider AI upskilling programme. All are adapted to your tools and your work before delivery.
What AI can and cannot do, in plain terms and without the vendor framing. Teams leave able to tell a good use case from a bad one in their own work.
Request pricingFor the people funding and governing AI work: where value comes from, where risk sits, what to ask for, and how to tell a real proposal from a plausible one.
Request pricingAgentic coding in practice: tool use, context management, MCP, evals, and the failure modes that only show up once you put an agent near a real codebase.
Request pricingGetting real work out of general assistants: prompting that holds up, when to trust output, when to check it, and the tasks worth handing over.
Request pricingApplying Copilot inside the Microsoft tools your team already lives in, with the data and permission questions handled rather than glossed over.
Request pricingBuilt around your tools, your data and your workflows when the standard sessions are not the right shape for what you need.
Request pricingA short conversation about who is in the room, what they do, and what you want different afterwards.
We align on outcomes and adapt the material to your tools, your data and your actual workflows.
The session itself, on site or online, built around hands-on work rather than slides.
Post-session support while people apply it, because the week after is when the questions actually arrive.
Either. We deliver online across time zones and in person where travel makes sense. In-person sessions tend to work better for leadership groups; online works fine for tool-specific training.
Pricing depends on the session, the group size and whether it is delivered online or on site. Get in touch and we will give you a figure for your situation.
It varies by session. AI for Developers assumes you write code. AI for Leaders assumes you do not, and does not pretend otherwise. AI Fundamentals sits in between and is designed for a mixed room.
Yes. Every session starts with a kickoff to align on your goals and adapt examples to your work. Generic examples are the fastest way to lose a room.
The sessions are built around the tools your team already has or is about to adopt: ChatGPT and Claude for general teams, Microsoft Copilot for businesses standardised on Microsoft 365, and AI coding assistants for developers. Custom training covers whatever is actually in your stack.
Tell us who is in the room and what they do. We will tell you which session fits and what it costs.