How organisations build AI literacy and turn AI experimentation into real adoption.
AI adoption is rarely a technology problem. Most teams are already experimenting with AI tools, often without shared standards or clarity around what good looks like. This informal use creates uneven capability and unnecessary risk.
AI literacy solves this by giving teams shared language, practical prompting skills, and clear expectations for how AI supports real work.
The case studies below show how organisations turn AI experimentation into consistent, confident adoption.
KBI partnered with The Square Wave to establish a shared foundation of AI literacy across the organisation. Following the training, staff reported 5–10 hours saved per week, with drafting tasks dropping from 45–60 minutes to around 10 minutes. Just as importantly, AI moved from individual experimentation to a visible, shared capability across the team.
"The team at Allara were successfully leveraging AI tools to support productivity, but as a training provider we knew the value of proactive governance and decided to invest early in training. The experts at The Square Wave helped us formalise the momentum that was building, establishing shared standards, consistency and confidence business wide." - Ellie Dawkins, Allara CFO/COO.
"Steve's approach is practical and empowering. I use what I learnt daily" -- Rohan
"This course changed how I think, work and lead - Matt P
"An outstanding and practical foundational course on AI.”- Susan K
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