Every session is written around your organisation's specific tools, policies and workflows. We build the materials for your environment, not a hypothetical one.
The course covers which generative AI tools are approved for use and which are not, what data staff are permitted to enter into each tool, and what must never be entered. Participants learn how to verify AI outputs before acting on them, and what to do when AI produces something wrong, misleading or harmful.
A dedicated module addresses shadow AI: why staff use unapproved tools, the risks this creates, and how to build a culture where approved tools become the default choice.
The session also covers the Data (Use and Access) Act 2025 requirement for meaningful human intervention in automated decisions. Rubber-stamping AI outputs does not satisfy that standard. Participants learn what the requirement means in practice and how to meet it in their own work.
Every participant receives a method guide: a repeatable method for working with generative AI tools that applies to any AI-assisted task they handle after the course.