8 essays
Executives say AI saves them hours a week; staff say it saves nothing. That gap measures how well bad news travels upward in a business, not the tool.
AI adoption is a people problem, not a tools one. A practical guide to getting your whole team using AI without panic: boring pilots, safety, buddies.
A team going quiet on AI isn't proof the tools failed. It's stage three of the doom cycle: a predictable adoption valley, and a management job to fix.
93% of AI spend lands on infrastructure, 7% on people. Why the unphotogenic work of retraining people around AI is where the real value actually sits.
85% of enterprises want agentic AI but 76% lack the operational foundation. Why process visibility matters more than model capability.
Most AI pilots return nothing. The five execution failures behind the $154 billion mistake — and the practical playbook to fix them in 90 days.
AI makes tasks faster, but 77% of workers say it's increased their workload. The acceleration trap is real — and it's a management problem to solve.
AI adoption isn't just technical—it's human. Learn how to support five distinct groups in your organisation's AI journey with practical, empathetic strategies.