AI adoption is a people challenge, not a technology problem. As a UK AI consultancy, we help organisations move from AI awareness to AI transformation.
"Use AI or you're fired." Accenture CEO to WSJ, Nov 2025
BCG Research
McKinsey 2024
BCG 70-20-10 Model
Yet only 10% of value comes from it
70% of transformation success depends on people adopting new behaviours and ways of working.
20% comes from redesigning processes to take advantage of new capabilities.
10% is the technology itself. The tools, platforms, and infrastructure.
Yet most organisations spend 80% of their budget on technology.
Based on the Unified Theory of Acceptance and Use of Technology (UTAUT)
Reality: People believe it's useful but lack clear use cases. Early failures erode trust quickly.
Reality: Chat-based tools can do everything but make it hard to discover what's relevant to each person's context.
Reality: Social proof exists. People know others are using AI. This is not the blocker.
Reality: Most lack change management processes. Governance is slow. Favour heuristics and guardrails instead.
Understanding where your people are, and where they need to go, to unlock organisational value.
Aware but unconvinced. Hasn't found a reason to engage.
Uses AI in dialogue. Two modes: Consultant (asks questions, gets answers) and Collaborator (works with AI iteratively).
Domain experts who identify and create automated workflows. Partners with AI engineers.
Designs multi agent systems. Creates interconnected AI capabilities that transform functions.
Move all staff from passive awareness to active collaboration with AI. From Consultant mode (asking questions, receiving answers) to Collaborator mode (iterative working, back-and-forth refinement).
Enable domain experts to identify automation opportunities and work with AI engineers. This requires psychological safety. People must believe they won't be replaced by the automations they create.
Every time a company announces layoffs "due to AI efficiencies", it sends a clear message to employees everywhere: AI is not a partner, it's a threat.
Why would any employee “train” the system that might automate them out of a job?
This compounds three existing barriers:
AI is not a tool for replacement. It's a tool for redistribution. Capacity freed by AI should be reinvested into growth, innovation, and creativity.
Make AI literacy part of development goals. Not performance management or threats. Communities of practice, not compliance.
Context-specific use cases and training. Clear ethical guidance and guardrails. Peer champions who model success.
Use freed time for new opportunities. Not just headcount reduction. Expand what humans can achieve.
The productivity gains from AI should expand what humans can achieve, not constrict it.
Invest accordingly. Most organisations have this inverted.
Capacity freed by AI should expand what humans achieve, not reduce headcount.
Move people from Bystanders to Collaborators, then enable Automators.
AI adoption succeeds when organisations invest in people first. Let's discuss your strategy.
