These case studies show how organisations build shared AI literacy, strengthen confidence, and close the integration gap between experimentation and consistent, high-quality adoption.
AI adoption in the workplace is rarely a technology problem. In most organisations, employees are already experimenting with AI tools , often without shared standards or clarity around what “good” looks like. This informal use, sometimes called shadow AI, creates uneven capability and avoidable risk.
Many organisations introduce AI training for employees, but training alone doesn’t create consistent adoption. Teams need shared language, practical prompting skills, and clear expectations for how AI supports real work.
Building AI literacy creates that common foundation. It turns experimentation into confident, consistent behaviour, improving quality, reducing risk, and strengthening performance across the organisation.
The case studies below show how teams move from informal AI use to structured, people-first adoption that lasts.
"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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