The Digital Transformation Playbook

AI has moved from answering questions to taking actions, and that single shift changes everything.  The first chapter in my book 'Agentic AI: A Business Leader’s Guide to the Future of Work and Digital Labour' unpacks the rise of autonomous AI agents and why “today’s AI is the worst it will ever be” is not hype but a warning for leaders, teams, and anyone building a career in a fast-chan...

AI fluency has moved from optional skill to executive responsibility. This episode looks at why leaders must steer AI as a business system, setting direction, design, guardrails, and proof. It explores the gap between AI ambition, leadership readiness, workforce reality, and governance expectations. TLDR / At a Glance • Executive AI fluency  • System steering  • Direction, design, guardrails, proo...

You can hear it in the way people talk about work right now: everything is urgent, everyone is stretched, and “high performance” has quietly become shorthand for constant output. We take a different angle by starting with a running truth that’s hard to argue with.  Nobody signs up for a half marathon and expects to wing it on the day, so why do we promote people into leadership and then act surpri...

AI adoption is moving quickly, yet enterprise value remains uneven when tools are added without changing how work flows. This episode examines why scalable AI performance depends on workflow redesign, clear ownership, and stronger execution systems.  It explores the Work layer of The Human AI Operating System. TLDR / At a Glance • Workflow as the unit of change  • Task gains versus enterprise valu...

AI has moved from innovation briefing to board-level responsibility, affecting strategy, risk, disclosure and enterprise value at the same time. This episode examines why directors must shift from discussing AI to actively governing it as regulatory, investor and value pressures converge.  It explores the practical tests boards can use to assess real AI oversight. TLDR / At a Glance • Board owners...

AI is forcing leaders to rethink work before they make irreversible workforce decisions. This episode challenges the headcount-first response to automation and explains why value depends on redesigning how work flows. It explores how AI changes roles, judgment, trust and organisational capability. TLDR / At a Glance • Work redesign before workforce reduction  • Productivity versus realised value  ...

Middle managers get blamed for everything, yet we keep setting them up to fail.  Kieran Gilmurray and Laura Lawless   promote smart, capable people into leadership roles, then pile on performance management, feedback, meetings, reporting, and “just one more responsibility” without ever teaching the fundamentals or redesigning the job. No wonder even experienced managers admit they avoid the hard c...

AI ownership often looks clear in meetings, then breaks down when decisions move into real workflows. This episode examines why fragmented authority turns promising pilots into slow, duplicated, and politically complex AI programmes across the enterprise. It explores how decision rights shape AI scale. TLDR / At a Glance • Fragmented AI accountability  • Decision rights over job titles  • Centrali...

“HR is irrelevant and AI will replace it” is the sort of claim that gets repeated until it feels true. We slow it down and ask a better question: if the admin and compliance bits are automated, what should a modern people function actually do that makes organisations stronger? TL;DR / At A Glance retiring transactional HR work that technology can automate why rebranding HR does not fix purpose, tr...

AI is speeding up work, squeezing budgets, and quietly removing the “starter tasks” that used to train new hires. So the real question is not just whether we should hire graduates, but how anyone builds experience when AI can draft, summarise, and analyse faster than a junior role ever could. We take a hard look at what this means for early careers, recruitment, and long-term workforce planning, e...

Frictionless AI feels like a miracle: one prompt, instant answers, spotless work. But when we use large language models for learning, that same “no effort” design can become a trap.  Google Notebook LM agents break down the learning performance paradox, where AI can make you look brilliant in the moment while quietly preventing the mental work that builds memory, judgement, and real competence. If...

AI scale depends on more than access to models, pilots, or new tools. This episode examines why enterprise performance comes from designing the organisation around AI, rather than simply deploying technology into existing workflows. It explores the Human AI Operating System as a framework for repeatable AI value. TLDR / At a Glance • Five-layer AI operating model  • Workflow redesign for adoption...

Artificial intelligence is now a board level risk with implications across strategy, operations, and reputation. Organisations must move from informal awareness to structured oversight to manage AI responsibly. This episode explores how boards define and operationalise an explicit AI risk posture. TLDR / At a Glance • AI as enterprise level risk category  • Risk appetite, tolerance, capacity disti...

Enterprise AI has entered a more demanding phase, where agentic systems must prove they can deliver predictable outcomes in real business operations. PegaWorld 2026 framed that shift around workflow discipline, cost control, governance, and enterprise readiness. This episode explores six lessons for leaders scaling AI beyond pilots. TLDR / At a Glance • Predictable AI and governed execution • Outc...

AI strategies often lose momentum when organisations move from pilots into real operating environments. Early progress can look convincing until ownership, governance, capability, workflow design, and value measurement are tested at scale. This episode explores why AI scale depends on organisational absorption. TLDR / At a Glance • Pilot to scale gap  • Organisational absorption  • Workflow redesi...

You spend years building a product, polish the packaging, nail the pitch… then you hit the terrifying question: is anyone actually going to buy it? We dig into a 2025 research result from PyMC Labs and Colgate-Palmolive that aims straight at that fear with AI market research, synthetic consumers, and large language models that can simulate purchase intent at scale. TL;DR / At A Glance the core pro...

Token subsidies are fading, AI prices are rising, and suddenly the fun part of experimentation comes with a nasty surprise: runaway spend. We dig into what that shift means for CIOs and IT leaders who still need to ship results, protect budgets, and prove ROI.  If you have spent time counting tokens or worrying that one enthusiastic pilot will burn through a month’s AI budget, this conversation is...

Your AI can write a tidy email summary, but that is not the job. The real leap is from passive text generation to agentic AI that can read context, plan a sequence of steps, use tools through APIs, and execute actions inside real enterprise systems. That leap is thrilling, and it is also where most organisations hit the wall: plenty of pilots, very little production impact, and a growing fear of w...

AI is moving fast, but enterprise leaders are starting to ask a sharper question: are we getting value for the money we’re spending? Matt Healy from Pega joins us to unpack what “agentic transformation” looks like when it has to survive real-world constraints like compliance, security, and customer-facing reliability, not just a slick prototype. TL;DR: extending AI-driven development into the plat...

Legacy systems do not fail because teams lack ambition. They fail because nobody has the time to untangle years of code, edge cases and hidden business logic. We sit down with Kara Manton, business director in Pega’s product engineering function, to unpack the biggest PegaWorld announcements aimed at changing that reality, starting with why Pega Infinity 26 is being called one of the best releases...

AI can accelerate work, but it can also multiply clutter when obsolete processes stay in place. This episode examines strategic subtraction as a leadership discipline for improving AI value, capacity, and operating focus. It explores how leaders decide what to remove, redesign, protect, or simplify.  TLDR / At a Glance • Strategic subtraction discipline  • Automation before redesign risk  • Workfl...

AI is dramatically reshaping how junior professionals learn and perform at work. New evidence shows novices reaching competency in a fraction of the time, with significant implications for productivity and talent development. This episode explores how AI changes learning mechanics, performance outcomes, and risk management for junior talent. TLDR / At a Glance • Accelerated time to competence  • D...

Many organisations mistake frequent AI tool use for genuine AI fluency. This episode examines why visible activity often masks shallow capability, fragmented workflows, and inconsistent business value. It explores how leaders can move AI from experimentation into structured execution. TLDR / At a Glance • Usage versus fluency  • Fragmented adoption patterns  • Workflow integration  • Repeatable AI...

AI governance often looks complete on paper while remaining weak in daily operations. This episode examines why policies, committees, and principles only become effective when they are connected to live management routines. It explores governance as an operating rhythm for scaling AI with control and confidence. TLDR / At a Glance • Policy-to-practice governance gaps  • Cadence, monitoring, and es...

Are you ready for the revolution that's already transforming business strategy? In this riveting conversation, Professor Greg Bunch from the University of Chicago Booth School of Business delivers a wake-up call about artificial intelligence that will change how you think about business forever. TLDR:  Domain expertise remains crucial even as AI capabilities expand The best value from busines...