AI Literacy for Organisations
Establish a shared understanding of AI, its practical applications and the judgement required to use it responsibly.
A considered approach to capability.
AI conversations are more productive when people share a clear vocabulary. This training area introduces the capabilities and limitations that matter in everyday work, without assuming a technical background.
A useful foundation connects the concepts to familiar tasks. The learning scope can consider how different roles encounter AI, which questions employees should ask and where existing organisational policies apply.
What the learning can cover.
The final scope is agreed around your audience and requirements.
- Core AI concepts explained in a workplace context
- Common applications across different employee roles
- Accuracy, bias, privacy and confidentiality considerations
- Distinguishing a useful opportunity from an unsuitable task
- Human review and accountability in everyday use
Define a useful result.
Agree the intended outputs and review arrangements before the engagement begins.
- A common vocabulary for discussing AI
- Practical criteria for considering a use case
- Role-relevant activities and discussion prompts
Prepare for the discussion.
Share the roles involved, existing exposure to AI, current tools and any relevant acceptable-use requirements.
Include timing, location or format preferences, together with any technical, accessibility or information-handling requirements.
How we workScope, delivery & investment.
Each engagement is quoted to reflect the agreed scope, preparation and delivery requirements. The proposal should identify inclusions, responsibilities, review points and commercial terms.
Availability, timing and any specific requirements are confirmed before acceptance.
Discuss the capabilities your team needs.
Share the roles involved, existing exposure to AI, current tools and any relevant acceptable-use requirements.