Upskilling
Training existing staff to use AI tools well in the work they already do. The site's training article finds that programmes built around real workflows do better than generic content and better than staff teaching themselves.
What it means in practice
The training article treats upskilling as an ongoing programme practised on real tasks, not a single event. The HR training article notes that HR is generally the function expected to lead AI upskilling for the rest of the organisation, which depends on its own AI literacy coming first.
How we use it
We run it two ways. A core AI course suits a whole team that needs the same foundations, and bespoke training suits one function whose data and workflows are specific. The training article reports what we see inside our programmes: teams on bespoke training built from their own workflows close the adoption gap in months, while teams left to teach themselves are still closing it a year later.
FAQ
Questions about Upskilling
Does Formal AI Training beat letting staff teach themselves?
The training article says yes, and cites research that organisations with formal programmes achieve 2.3 times faster AI adoption and 67% higher AI ROI than those without one. Self-directed learning still produces some skill, but it is slower and less consistent across a team. The article notes that self-directed use is often how shadow AI starts.
What makes AI upskilling stick?
Relevance and personalisation, according to the training article. It cites research that training applied to real workflows is 93.7% more effective than generic methods, and that adaptive learning produces 58% higher knowledge retention than fixed content. It recommends measuring retention over time rather than course completion.
What it means for a Business
The training article cites research that organisations with formal AI training programmes achieve 2.3 times faster AI adoption than those without, while only 19% of workers have been through one. It also cites research that 70% of AI success comes from people, process and change management, not the technology.
Ready to Put This to Work?
Tell us where your team is with AI and we will tell you honestly what would make the biggest difference.