We've been helping organisations measure and improve their people development since 1987. The tools have changed. The core question hasn't: is the work actually getting better?

Peter is a business psychologist with over 40 years of experience across psychology, business, L&D, and entrepreneurship. His background includes a PhD in occupational psychology, research into individual performance measurement, and growing a people services business to $50 million.
He has taught measurement and evaluation since 1987, working with organisations across financial services, care, manufacturing, professional services, and the public sector. His intellectual assets include the PEASE Method (Purpose, Evidence, Analysis, Solution, Explanation) and the LaDIA programme, which has been delivered across 49 organisations with consistently strong feedback.
His work is grounded in evidence, occupational psychology, and a deep scepticism of AI hype. He speaks at conferences in the UK and US, runs webinars and roundtables, and is currently writing a book titled The PEASE Method.
Peter focuses on helping non-technical professionals use AI to do their work better. Not tool training. Not generic AI literacy. Measurable improvement in productivity, performance, and problem-solving.
Everything we do is grounded in research, evidence, and decades of practical experience. These aren't buzzwords — they're the foundations that make the work effective.
PhD-level research into individual performance measurement, time analysis, and self-report methods. The diagnostic draws directly on this work.
Purpose, Evidence, Analysis, Solution, Explanation. A framework for replacing vague evaluation with decision-driven, evidence-based practice.
Extensive global research into how AI training is currently failing, and what knowledge workers actually need. This directly shapes every programme.
Decades of designing programmes with performance metrics built in, evaluating impact globally, and teaching others to do the same.
Not just "how do we speed up the work?" but "is the work itself valuable?" The question most AI training never asks.
Grounded in behavioural science and change principles, so that AI capability is embedded in real work rather than learned and forgotten.
Peter speaks at conferences in the UK and US on AI capability development, the future of L&D, and evidence-based evaluation. He also runs webinars, roundtables, and sector-specific sessions.
If you're looking for a speaker who is evidence-led, anti-hype, and grounded in real practice, get in touch.
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