Why AI adoption is stalling

The past 18 months has seen unprecedented investment in AI technologies and digital transformation, yet adoption remains stubbornly low and lack of commercialisation is challenging shareholder value. The underlying reasons for this resistance to change include: 

  • Rising ‘AI anxiety’ about job security and future roles
  • Employees feeling overwhelmed with reskilling needs and options, leading to low adoption
  • Top talent leaving for AI-progressive competitors
  • Fragmented and self-paced training approaches in digital skills alone

The outcome: low AI adoption, stalled transformation initiatives and wasted investment.

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People-powered AI transformation

Transform fear into enthusiasm for human-AI collaboration.

Our Catalyst Circles™ framework creates teams that actively seek ways to enhance their work through AI, driving a culture of innovation from within.

  • Teams actively drive AI innovation

Instead of fearing automation, your people become innovation catalysts, seeking new ways to enhance their work through AI.

  • Skills evolve at enterprise scale

Move beyond isolated pockets of AI adoption with our Catalyst Circles™ framework. AI skills reach every corner of your organisation with consistent quality.

  • Talent stays and leads transformation

While competitors lose their best people, your top performers see opportunity rather than threat, choosing to stay and lead your AI transformation.

  • ROI is clear and measurable

Track real progress in your AI integration journey. Our analytics provide clear visibility of adoption rates, engagement levels, and business impact.

How it works

We combine digital training and resources with human connection, through peer group learning facilitated by organisational leaders. By creating a culture of continuous learning, your people gain confidence that they’re being developed for the roles of the future, and adoption momentum to automate the work of the present accelerates.

1. Leaders become AI champions

  • Train leaders to identify high-impact AI use cases
  • Create safe spaces for AI experimentation and learning
  • Build networks of AI adoption champions across teams

2. Talent stays, grows, and leads transformation

  • Develop practical AI capabilities at every level
  • Transform teams into AI-augmented powerhouses
  • Create an ecosystem of continuous learning

3. Measurable AI impact

  • Track AI adoption and usage metrics
  • Measure productivity gains from AI integration
  • Quantify ROI of AI transformation initiatives
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"One of the biggest challenges we had to overcome when rolling out our market leading AI capabilities was the unexpected resistance from those it would help the most in adopting the new technologies. We had to dig into the human nature of change and reskill our leadership as well as the wider teams to unleash the potential and commercialise the capabilities available"

Case study

Our financial services client was looking to automate back office customer servicing capabilities, and was meeting with quiet resistance in a lack of adoption of technologies that would have significantly streamlined processes.

Challenges: 

With AI capabilities announced weekly and investment focused on automation, employees felt overwhelmed by reskilling demands and anxious about job security. Those who were busiest and would benefit most from automation were most resistant, fearing their expertise would lose value or lead to job loss. Despite significant investment in AI capabilities, our client saw little return as productivity improvements depended on full technology utilisation.

Solution:

By tailoring human skills and AI training while developing leaders as coaches, we created future career paths and psychological security. Employees began building AI co-pilots for repetitive work, creating capacity for higher-value activities. AI investment started showing returns, adding shareholder value and building change momentum organisation-wide.

Create a culture ready for Generative AI

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