What happens when the ability to build solutions starts to outpace understanding of the problem?
That tension is very real at BCN. Fraser Dear, experienced improvement practitioner and Head of AI and Data Innovation, reflects on the highs and lows of introducing AI into environments already built on structured, trusted ways of working, and the growing gap between doing more and doing what adds value.
00:00 Introduction and the shift from structured improvement work
01:15 Plenty of data, but still no clear answers
03:29 Introducing AI into systems people already trust
05:47 Three very different reactions, and no obvious way forward
06:43 Moving the conversation away from decisions, and back to understanding
09:09 When people don’t trust the tool because they don’t understand it
10:52 The pressure to move faster, even when things aren’t fully clear
14:14 Building something impressive but not useful
16:08 Going back to the work before building anything else
18:53 When language creates confusion instead of clarity
20:55 Moving too fast and leaving stakeholders behind
22:56 Outro
Fraser Dear is Head of AI and Data Innovation at BCN Group, where he helps organisations turn emerging technologies into practical business outcomes. With a background spanning laser physics, process improvement, data strategy, automation, business intelligence, and artificial intelligence, he works with both public and private sector organisations to modernise operations, improve decision-making, and unlock new sources of value.
Over the course of his career, Fraser has led transformation programmes covering operational excellence, data and analytics, process automation, Microsoft Power Platform, Foundry, and AI adoption. He is particularly passionate about helping organisations bridge the gap between technology potential and day-to-day reality, ensuring innovation delivers measurable impact for frontline teams as well as leadership.
A regular speaker on AI, data innovation, and business transformation, Fraser brings a pragmatic and people-focused perspective to today’s rapidly evolving technology landscape, exploring how organisations can combine continuous improvement principles with AI to drive sustainable performance and meaningful change.
Every episode centres on a candid conversation with someone who’s led change from the inside. We deliberately explore both sides of the story, from the moments where improvement delivered meaningful results, to times when things didn’t go to plan. Our guests are generous with their honesty, talking openly about decisions made under pressure, warning signs they noticed too late, and what they’d do differently next time.
In our world, every experience is valuable, and hearing how others have navigated the realities of performance improvement makes the work feel less isolating, and far more achievable. So if you’re looking for thoughtful reflection, practical insight, and reassurance that progress rarely follows a straight line, GEMBAfication is for you.
Explore GEMBAficationIn our world, every experience is valuable. Subscribe to PMI’s GEMBAfication, and explore change as it really happens. Here are some quick links:
Rolling out CI tools is one thing. Embedding the capability, building trust, and sustaining change at scale is another. Our performance improvement consultancy supports organisations to assess readiness for change, build real problem‑solving capability, and create improvement systems that last.
Contact us today to learn more about how we can help you make improvement stick.
Explore ConsultancyGEMBAfication is PMI’s new podcast for improvement professionals looking for an honest view of what improvement really looks like in practice. Because in our world, every experience is valuable.
Listen Now
Copyright © Process Management International Ltd 1998 - 2026
