Insights

Beyond the Training Event: A New Model for AI Upskilling

frank callaly headshot Written by Frank Callaly

Organisations are investing heavily in AI, yet many continue to struggle with adoption beyond the pilot stage. While training remains an important foundation, it is rarely enough on its own to change behaviours, reshape workflows, or deliver measurable business impact. This insight briefing examines the gap between AI investment and AI adoption, exploring why traditional approaches often fall short and what organisations can do to build sustainable AI capability across the enterprise.

AI upskilling women at screen

The pressure on organisations to build AI capability has never been greater. But while training is essential, many organisations are still struggling to turn AI adoption into meaningful business value.

This briefing explores why enterprise AI upskilling often stalls after the initial learning event, and what organisations must do differently to embed AI into the way people actually work.

  • Why traditional AI training models fail to drive adoption
  • The hidden behavioural barriers slowing enterprise AI transformation
  • Why coaching and peer-based learning improve AI capability at scale
  • How psychological safety impacts AI adoption
  • A practical framework for embedding AI into day-to-day work
  • What leading organisations are doing differently to scale AI capability successfully

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