Designing AI That Protects Expertise
AI systems do not have to erode human skill. Designed deliberately, they can preserve and even strengthen it. Six practical design patterns, and the continuum that tells you where to keep practising.
Insights
Short, practical thinking on strategy, readiness, human expertise, and the reasons AI programmes often stall.
What we write about
Choosing the few AI opportunities worth backing.
Telling what is genuinely ready from what is still fragile.
Designing AI that strengthens judgement instead of eroding it.
AI systems do not have to erode human skill. Designed deliberately, they can preserve and even strengthen it. Six practical design patterns, and the continuum that tells you where to keep practising.
From medicine to aviation to driving, the same pattern recurs: skills that are not practised atrophy, even among highly trained professionals. The business risk follows close behind.
Read insightAI delivers real productivity gains, but relying on it to do our thinking quietly reduces the mental engagement that builds and maintains skill. Here is what the research shows, and what it does not.
Read insightAndrej Karpathy's 'LLM Wiki' pattern offers a compelling alternative to retrieval-augmented generation. Instead of re-deriving insights from scratch on every query, AI incrementally builds and maintains a persistent, structured knowledge base. The implications for organisational knowledge management are significant.
Read insightAI is widely used to process existing information. Its potential to capture expertise that was never documented in the first place is largely overlooked.
Read insightMost AI is designed to optimise tasks. But when it's built without reference to the expertise behind those tasks, it doesn't just fail to capture that knowledge; it can actively erode it.
Read insightAround 80% of AI projects fail to deliver business value. We break down the three root causes, including the tacit knowledge problem most teams miss.
Read insightIn high-stakes domains, human-AI collaboration consistently outperforms full automation. Here’s why, and how to design for it.
Read insightFive essential questions before any AI project, including how to account for the tacit knowledge your experienced people rely on.
Read insightWant to go deeper?
We are happy to talk through how any of this applies to your organisation. No pitch, just a useful conversation.