The TechDental Podcast

When an AI tool contributes to a clinical decision and a patient is harmed, who is liable? The clinician who acted on it, the organisation that deployed it, or the company that built it? Right now, English law cannot give a clean answer, and every organisation adopting AI is operating inside that uncertainty.In this episode of The TechDental Podcast, Dr Randeep Singh Gill sits down with Robert Kellar KC, a barrister at 1 Crown Office Row specialising in clinical negligence, professional discipline and regulation, public law and personal injury. Robert has spent recent years litigating high-value clinical and dental negligence claims, and was writing and speaking about AI and legal liability for medical practitioners before most people had heard of ChatGPT.This is a high-level conversation about legal governance and the reality of AI liability in regulated professions. The case study is dentistry. The framework applies to medicine, law, finance, and any high-stakes field where a regulated human is accountable for a decision an algorithm increasingly shapes.Dr Randeep Singh Gill and Robert Kellar KC discuss why the law looks to the human practitioner first and the technology company third, how AI could dilute or displace the 70-year-old Bolam standard of negligence, the two traps every clinician now sits between, automation bias on one side and the risk of wrongly overriding the AI on the other, and why documented independent judgement is the single best legal defence. They also cover the questions every leader should ask an AI vendor before signing, why a 1987 product liability law may or may not treat AI software as a product, why regulation gives innovators certainty rather than stifling them, how to use the EU AI Act as a procurement gold standard, and the governance every organisation should build before deployment.Essential listening for dentists, doctors, DSO operators, healthtech founders, compliance leaders and investors navigating AI adoption, clinical governance and professional liability.Please note: This episode is for general information and discussion only. It is not legal advice. These issues are highly fact-specific, so take qualified legal advice before acting, and do not rely on AI as a substitute.In this episode:Why the liability chain runs to the practitioner first, then the organisation, then the developerHow AI could dilute or reconceptualise the Bolam standard of clinical negligenceAutomation bias and the risk of disagreeing with AI: the vice closing from both sidesWhy documented judgement is a clinician's primary legal defenceThe two questions to ask any AI vendor before deploymentWhether AI software counts as a "product" under the Consumer Protection Act 1987Why regulation provides certainty for innovators rather than blocking themUsing EU AI Act compliance as a procurement and governance benchmarkThe governance framework to build before AI reaches a patientWho Robert predicts will stand in the dock when the first case reaches courtAbout the guest:Robert Kellar KC is a barrister at 1 Crown Office Row specialising in clinical negligence, professional discipline and regulation, public law and personal injury. He is a board advisor and a writer, speaker and thinker on medicine, AI and web3.LinkedIn: https://www.linkedin.com/in/robertkellarbarrister1crownofficerow/Chambers: https://www.1cor.com/london/Read the full written analysis: https://www.techdental.com/insights

Governance failure is almost never a dramatic event. It is a gradual disconnect between what leaders believe is happening and what is actually happening on the ground, and by the time it becomes visible, the opportunity to shape the outcome has usually gone.Dhiren Katwa has spent two decades inside some of the most complex regulated environments in the UK, including HS2, the largest infrastructure project in Europe. He is an award-winning PR practitioner, diversity consultant and stakeholder manager who has spoken at the United Nations in Geneva and at the inaugural World Public Relations Festival in Rome.In this conversation, Dr Randeep Singh Gill and Dhiren move past the usual AI-adoption conversation about tools and into the infrastructure underneath it: the governance, accountability and stakeholder trust that decide whether any deployment survives contact with a real organisation.They cover the five recurring patterns that precede governance failure in any sector, the single fastest test for telling real governance from performative governance, what deploying a 2,000-tonne tunnel boring machine beneath a 400-year-old woodland teaches you about winning trust before a change programme goes live, why the cost of excluding the people who carry the risk is legitimacy rather than efficiency, what aviation got right about governing automation, and the question most organisations only start asking after deployment: value for whom.The examples are drawn from infrastructure and dentistry. The patterns apply to any organisation deploying significant change.Essential listening for anyone leading transformation, deploying AI, or accountable for governance in a regulated organisation.In this episode:Why governance failure is a gradual disconnect, not a dramatic eventThe five patterns that appear before governance formally breaksThe "bad news test" for telling real governance from performative governanceWhat HS2 and a tunnel boring machine teach you about stakeholder trustWhy excluding the risk-bearers costs legitimacy, not efficiencyWhether stakeholder alignment is genuine diligence or disguised delayThe "value for whom" question most organisations ask too lateWhat aviation actually got right about governing automationThe ten-year view: why trust will matter more than technologyAbout the guest:Dhiren Katwa, award-winning PR practitioner, diversity consultant and stakeholder manager.LinkedIn: https://www.linkedin.com/in/dhiren-katwa/Read the full written analysis: https://www.techdental.com/insightsConnect with TechDental:Host Dr Randeep Singh Gill: https://www.linkedin.com/in/drrandeep/Web: https://www.techdental.comEmail: [email protected]🎧 Spotify: https://bit.ly/41UsqRO🎧 Apple Podcasts: https://bit.ly/41pKL9b▶️ YouTube: https://bit.ly/3JSfl5c

Almost the entire conversation about AI in dentistry happens at the level of products. Which diagnostic tool, which imaging platform, which vendor is furthest ahead. Andrea Albertini argues that the decisive questions sit one layer underneath, in the infrastructure through which any of those tools actually reaches a practice.Andrea is CEO of Global Distribution and Technology at Henry Schein, with executive responsibility for both the distribution business and the technology business, including the Henry Schein One joint venture, whose software runs in more than 100,000 dental locations worldwide. Before Henry Schein he was on the manufacturing side, at Cefla and Castellini, which gives him a rare view of the industry from the factory, the region, and the top of the global platform.In this conversation, Dr Randeep Singh Gill and Andrea get into why distribution and technology are not two businesses but a single operating environment, and why you cannot layer AI onto a fragmented one. They cover what it takes to deploy AI across 100,000-plus locations, the AWS generative AI partnership and why scale removes the pilot phase rather than requiring one, the shift from practice software as a system of record to an active participant in how a practice runs, and the governance question at the heart of it all: who owns clinical responsibility when an AI recommendation influences a decision. They also get into where the genuine demand is and where the noise is, why interoperability rather than individual tools is the real battleground, and how DSOs and independent practices are adopting on completely different curves.The examples are drawn from dentistry. The lessons on infrastructure, governance and AI adoption apply to any complex, regulated organisation.Essential listening for DSO operators, practice owners, dental technology founders, and healthtech investors who want to understand the infrastructure that decides whether dental AI succeeds or stalls.In this episode:Why the decisive questions in dental AI sit beneath the tools, not in themValue creation versus value delivery, and why most people only see oneWhy distribution and technology are one operating environmentWhy you cannot layer AI onto a fragmented ecosystemHow deploying across 100,000-plus locations removes the pilot phaseThe shift from system of record to active participantGovernance as an adoption strategy, and where clinical responsibility sitsWhere the real demand is, and where the noise isWhy interoperability is the real challenge, not individual toolsHow DSOs and independent practices are adopting differentlyAbout the guest:Andrea Albertini, CEO of Global Distribution and Technology, Henry Schein. LinkedIn: https://www.linkedin.com/in/andrea-albertini-0735262/ Henry Schein: https://www.linkedin.com/company/henry-schein/Read the full written analysis: https://www.techdental.com/insightsConnect with TechDental: Host Dr Randeep Singh Gill: https://www.linkedin.com/in/drrandeep/ Web: https://www.techdental.com Email: [email protected]

The same AI tool, deployed into two different dental practices, produces wildly different results. The difference is not the tool. It is the foundation underneath it.In this episode, Dr Randeep Singh Gill sits down with Ravinder Nottra, founder of sigmasmile and a Lean Six Sigma Black Belt with 15 years applying structured operational methodology across John Lewis, the legal sector, and three years working inside a supplier of clear aligners. Ravinder brings the methodology that rebuilt Toyota, reshaped parts of the NHS, and underpins the operational excellence of GE and Amazon into the dental practice, properly, for the first time.The thesis that drives the conversation: AI is not a strategy, it is a force multiplier. It amplifies whatever foundation is already there. Strong processes compound. Mess compounds faster. Deploy AI onto an unmapped process and you are multiplying zero by zero.Ravinder and Randeep get into where the money is actually hiding in a practice, the half a million pounds she uncovered across three sites without hiring a single person, why procurement overspend goes unnoticed for years, the exact point in a group's growth where informal processes break, value stream mapping, standard work in a clinical setting, running the dental chair like a Formula One pit stop, and why operational improvement is a capital strategy ahead of exit, not a cost exercise.Essential listening for independent practice owners, multi-site groups and DSOs, dental technology founders, and healthtech investors who want durable advantage, not expensive distraction.In this episode:Why the same AI tool compounds in one practice and creates chaos in anotherWhy AI is a force multiplier, not a strategyWhere the money is actually hiding in a dental practiceThe half a million pounds hidden across three sites, with no new hiresHow reducing variation unlocks up to 50% more chair capacityRunning the dental chair like a Formula One pit stop, using SMEDWhy you must map the process before you buy the AIStandardising the process without standardising clinical judgementWhy operational improvement raises your exit multiple, not just your marginWhat the UK dental market can learn from more mature operatorsA strategic tool for listeners:Ravinder has produced a free Hidden Cost Audit workbook for practice owners and group operators. Download it at https://sigma-smile.com/#workbookAbout the guest:Ravinder Nottra, founder of sigmasmile.Website: https://sigma-smile.comLinkedIn: https://www.linkedin.com/in/ravinder-nottra-52610185/sigmasmile on LinkedIn: https://www.linkedin.com/company/sigma-smile-consultancy/Connect with TechDental:Host Dr Randeep Singh Gill: https://www.linkedin.com/in/drrandeep/Web: https://www.techdental.comEmail: [email protected]🎧 Spotify: https://bit.ly/41UsqRO🎧 Apple Podcasts: https://bit.ly/41pKL9b▶️ YouTube: https://bit.ly/3JSfl5c📩 Subscribe to the TechDental newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7320560217455271939

Most dental groups approach AI as a procurement decision. Which tool, which vendor, which price. Dr Sonia Szamocki argues that is the wrong variable entirely.Sonia is founder and CEO of 01Health. Before building clinical AI infrastructure from scratch, she was an A&E doctor, trained in medicine at Oxford, and worked at BCG and BCG Digital Ventures. She has navigated this problem from inside elite strategy through to the messy reality of building a clinical AI platform, and she has a framework for AI adoption that almost nobody in dentistry is articulating.In this episode, Dr Randeep Singh Gill and Sonia get into why AI readiness is an organisational design question, not a technology one. The core argument: the decisive question is not which AI you buy, it is whether your organisation can absorb what AI delivers at all.They cover why you start with the problem and not the tool, the difference between deterministic and probabilistic systems and why it breaks the governance most groups rely on, why between 50 and 90% of real AI work is evaluation rather than building, and how to introduce AI without triggering the change fatigue that kills adoption. Sonia makes the case for building from within rather than doing AI to your organisation, explains how to evaluate vendor claims independently, and argues that the heaviest lifting in adoption belongs to the vendor, not the customer. She walks through the four questions every DSO should ask a vendor before signing, why you should build on imperfect data rather than wait for perfect foundations, and what the UK can learn from the point-solution sprawl that has already burned more mature US markets.Essential listening for DSO operators, dental practice owners, dental AI founders, and healthtech investors trying to separate durable advantage from expensive distraction.In this episode:Why most dental groups are asking the wrong question about AIWhy you start with the problem, not the toolThe difference between deterministic and probabilistic systems, and why it changes governanceWhy evaluation, not building, is now 50 to 90% of the real workHow to introduce AI without triggering the resistance that kills adoptionWhy building from within beats doing AI to your organisationHow to evaluate AI performance claims independentlyThe proprietary data layer, and who is positioned to extract value from itWhy you should build on imperfect data instead of waiting for perfect foundationsWhy the vendor should carry the heaviest load in adoption, not the customerThe four questions every DSO should ask a vendor before signingWhat the UK can learn from US point-solution sprawlChapters:00:00 The wrong variable: why most groups misframe AI 02:02 Start with the problem, not the tool 05:15 Deterministic vs probabilistic systems 06:13 Why evaluation is now 50 to 90% of the work 09:22 Change fatigue and the resistance that kills adoption 11:49 Who restructures care vs who just automates 14:29 Evaluating AI performance claims independently 16:13 The proprietary data layer, and who owns it 24:49 Building a data strategy on imperfect foundations 26:30 The vendor question: solution or problem transfer 29:03 The four questions every DSO should ask a vendor 32:46 Build versus buy, and the cold start problem 34:32 What the UK can learn from the US market 38:17 Lightning roundAbout the guest:Dr Sonia Szamocki, founder and CEO of 01Health.Website: https://01health.ai/ukLinkedIn: https://www.linkedin.com/in/dr-sonia-szamocki/01Health LinkedIn: https://www.linkedin.com/company/01health/ Instagram: @01.health / @aerox.healthRead the full written analysis: https://www.techdental.com/insightsConnect with TechDental: Host Dr Randeep Singh Gill: https://www.linkedin.com/in/drrandeep/ Web: https://www.techdental.com Email: [email protected]🎧 Spotify: https://bit.ly/41UsqRO 🎧 Apple Podcasts: https://bit.ly/41pKL9b📩 Subscribe to the TechDental newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7320560217455271939

There is a graveyard of brilliant health tech products. Clinically validated, technically sound, built by people who understood the problem. And completely unused.Ross Drynan and Josh Wren spent a combined 22 years inside Henry Schein ONE, the UK's largest dental software company. They watched product after product fail from the inside, not because the technology was wrong, but because nobody built the operating discipline to make it land. Then they left and founded We Don't Consult to fix it.This is the episode for anyone building, buying, or backing dental AI right now.We get into why the best product rarely wins, and what does. Ross breaks down the narrow set of go-to-market disciplines that actually decide adoption: the story, organisational alignment, making a busy clinician problem-aware, delivering outcomes they attribute to you, and the ability to tell that story afterwards.We cover why most implementations die at the first post-sale interaction, why the kickoff call is a second sale and not a training session, and why "my team doesn't like change" is usually a leadership and change-management failure, not a technology one.Ross explains why AI has not changed the adoption problem, it has magnified it. Weak leadership and culture plus AI equals an amplified mess. We talk about the Alignment Spine, the open-access lead generation model, and why you should market a diagnostic of the buyer's business, never the product itself.We also go somewhere unexpected: Ross's consumer AI venture OurStoryMagic.ai, and the single thread connecting bedtime stories to early disease detection. Technology should close gaps that used to be closed by privilege, but only if the people building it have the discipline to make it land.The episode closes on the ten-year split for UK dental AI. Get adoption right and early detection becomes the default, not a privilege. Get it wrong and the companies with the best models lose to the companies with the best brands, and the access gap widens.In this episode:What 22 years inside the UK's largest dental software company actually teaches youWhy the best product does not guarantee success, and the disciplines that doThe five go-to-market disciplines that decide whether dental tech wins or diesWhere implementation really dies inside a practice or DSOWhy the post-sale kickoff is a second sale, not a training callHow AI magnifies weak leadership and culture rather than fixing itThe open-access lead generation model and why you should never market the productWhy face-to-face and human skills get more valuable as AI scalesThe OurStoryMagic.ai thread: closing gaps once gated by privilegeThe ten-year outlook for UK dental AI, and the two futures aheadAbout the guests:Ross Drynan, co-founder of We Don't Consult. LinkedIn: https://www.linkedin.com/in/ross-drynan/Josh Wren, co-founder of We Don't Consult. LinkedIn: https://www.linkedin.com/in/josh-wren/We Don't Consult: https://www.linkedin.com/company/we-don-t-consultRead the full written analysis: https://www.techdental.com/insightsConnect with TechDental: Host Dr Randeep Singh Gill: https://www.linkedin.com/in/drrandeep/ Web: https://www.techdental.com Email: [email protected]🎧 Spotify: https://bit.ly/41UsqRO🎧 Apple Podcasts: https://bit.ly/41pKL9b▶️ YouTube: https://bit.ly/3JSfl5c

Coach Chris Barrow has been inside over a thousand dental practices since 1997. He has watched digital X-rays, intraoral cameras, cloud practice management systems, and every technology wave sweep through the industry. Most of them promised transformation. Most delivered considerably less.His position on AI is different in structure, not just in scale. In this episode he explains why, and what it means for every practice owner making decisions about their business right now.What you will learn in this episode:Why AI is not another piece of kit but a quantum change in how dental businesses operate, and what that distinction actually requires of practice owners.The Y junction every practice faces: use AI to reduce headcount or use it to give your people the time and space to deliver exceptional patient experiences. Why that decision determines the kind of business you are building.The Golden Goose Practice explained: what it looks like on a Tuesday morning when the owner is not there, how the managing director and clinical director model actually works, and why equity alignment is the piece most operators miss.Why the 30-year corporate acquisition cycle is ending, who is buying practices now, and what that means for anyone still building with a multimillion-pound exit as the primary objective.The stepping stone patient journey, from a Friday night pub conversation to a signed treatment plan, and where AI changes every conversion point along the way.Why the biggest mistake practice owners make with new technology is not whether they buy it.The one question to ask before adding any new system, platform, or tool to your business.About Chris Barrow:Chris Barrow is one of the most recognised names in UK dental business coaching. He has worked with over a thousand dental practices across the UK and internationally since 1997, co-authored the E-Myth Dentist with Michael Gerber, appeared on The Island with Bear Grylls, and recently sold his coaching business to The Campbell Academy, where he has signed an eight-year service contract. He writes a daily blog, a monthly newsletter, and a regular column for Private Dentistry magazine.Connect with Chris: Website: https://www.coachbarrow.com LinkedIn: https://www.linkedin.com/in/chrisbarrow/ The Campbell Academy: https://www.linkedin.com/company/the-campbell-academyConnect with TechDental: Website: https://www.techdental.com Email: [email protected] LinkedIn: https://www.linkedin.com/in/drrandeep/Subscribe to the TechDental newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7320560217455271939Full written analysis: techdental.com/insightsCopyright Dr Randeep Singh Gill and RIG Enterprises Limited (Company No. 11223423) 2026

Direct Answer: In this solo episode, Dr. Randeep Singh Gill examines why dentistry is almost entirely absent from the UK's AI health infrastructure conversation, despite NHS dentistry delivering 35 million courses of treatment in 2024/25. With UKRI committing £1.6 billion to AI between 2026 and 2030 and the NHS 10-Year Health Plan targeting world-leading AI capability, the decisions being made right now will shape what is commercially viable in dental AI for the next fifteen years.What is this episode about?The UK is designing its AI health infrastructure now. The data frameworks, clinical pathway co-pilots, and Single Patient Record architecture being built today will determine which verticals get embedded from the start and which ones get retrofitted later at significantly greater cost. Dentistry is not in that design process. This episode makes the case for why that absence matters, and what it would take to change it.In this solo episode of TechDental, Dr. Randeep Singh Gill draws on six months of involvement in the Rising Women Leaders in AI programme, a British Council International Science Partnerships Fund initiative connecting UK and Türkiye researchers, to examine what science diplomacy actually looks like in practice and why dental AI needs a credible voice in the rooms where UK health infrastructure is being designed.What you will learn:Why UKRI's £1.6 billion AI commitment and the NHS 10-Year Health Plan create a narrow window to influence UK health infrastructure design.Why dentistry, despite delivering 35 million courses of NHS treatment in 2024/25, is almost entirely absent from the UK AI policy conversation.What science diplomacy actually means in practice, beyond summits and declarations.Why the UK-Türkiye bilateral research corridor represents a live opportunity for dental AI that is currently untapped.What the cost of late inclusion in infrastructure design looks like for practices, founders, and investors.Why the people shaping dental AI's future are not sitting in dental schools.About the host:Dr. Randeep Singh Gill is a qualified dentist, founder of TechDental and DentaCFO, and a strategy adviser at the intersection of dental AI, capital, and policy. He is a UK Programme Mentor on the Rising Women Leaders in AI programme, a British Council ISPF initiative in partnership with the University of Reading, Thames Valley AI Hub, and Koç University, Türkiye. He flies to Istanbul on 2 June 2026 for the programme's closing ceremony at Is Kuleleri.Website: https://www.techdental.com Email: [email protected] LinkedIn: https://www.linkedin.com/in/drrandeep/Programme partners:Rising Women Leaders in AI (RWLAI): British Council International Science Partnerships Fund Principal Investigator and UK Programme Lead: Dr. Selin Kudret, https://www.linkedin.com/in/drselinkudret/ Türkiye Programme Lead: Professor Cigdem Gunduz Demir, https://www.linkedin.com/in/cigdem-gunduz-demir-0a4552/ University of Reading: https://www.linkedin.com/school/university-of-reading Thames Valley AI Hub: https://www.linkedin.com/company/thames-valley-ai-hub Koç University: https://www.linkedin.com/school/kocuniversity/ British Council: https://www.linkedin.com/company/british-councilListen on:Apple Podcasts: https://bit.ly/41pKL9bSpotify: https://bit.ly/41UsqRO YouTube: https://bit.ly/3JSfl5cSubscribe to the TechDental newsletter on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7320560217455271939YOUTUBE DESCRIPTIONNot in the Room: Dentistry, AI Policy, and the Cost of Absence | TechDental Solo EpisodeThe UK is committing £1.6 billion to AI between 2026 and 2030. The NHS 10-Year Health Plan has a single ambition: to become the world's most AI-enabled health system. NHS dentistry delivered 35 million courses of treatment in 2024/25. And yet dentistry is almost entirely absent from the conversation that will determine what is commercially viable in this sector for the next fifteen years.In this solo episode, Dr. Randeep Singh Gill draws on six months of involvement in the Rising Women Leaders in AI programme, a British Council ISPF initiative connecting UK and Türkiye researchers, to examine what science diplomacy actually looks like in practice and why dental AI needs a credible voice in the rooms where UK health infrastructure is being designed.Topics covered: Why the UK's AI infrastructure design window is open now and closing Why dentistry is not represented in the UKRI and NHS 10-Year Plan conversation What science diplomacy means beyond summits and declarations Why the UK-Türkiye bilateral research corridor matters for dental AI What late inclusion in infrastructure design costs practices, founders, and investorsDr. Randeep Singh Gill is a qualified dentist, founder of TechDental and DentaCFO, and a UK Programme Mentor on the Rising Women Leaders in AI programme. He flies to Istanbul on 2 June 2026 for the programme's closing ceremony.Subscribe to the TechDental newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7320560217455271939Website: https://www.techdental.com Email: [email protected] LinkedIn: https://www.linkedin.com/in/drrandeep/#techdental #dentalai #aiinhealthcare #nhs #ukri #healthtech #dentalbusiness #futureofdentistry #sciencediplomacy #artificialintelligence #dentalinnovation #dentalpodcast

Episode Title: "The Lights Are Off." A Cambridge AI Scientist on What We Are Actually Building.Direct Answer: Spencer Kelly, Cambridge computer scientist, BBC Click presenter for 20 years, and AI keynote speaker, argues that the most dangerous assumption in AI is that there is something behind the words it generates. In this episode of The TechDental Podcast, Spencer draws a precise and unsettling distinction between intelligence and consciousness, explains why AI should have been called Applied Statistics, reflects on the Spotify prediction he got spectacularly wrong, and asks whether this technology wave is genuinely different from every one that came before it. Essential listening for anyone building, deploying, or investing in AI in healthcare right now.What is this episode about?Spencer Kelly studied artificial intelligence at Cambridge University in the 1990s, before it entered mainstream academic or public discourse. For two decades he presented BBC Click, the corporation's flagship technology programme, reporting from NASA, the Large Hadron Collider, and communities across Kenya, Korea, and India. He left the BBC in March 2025 when Click ended and now delivers keynotes on AI, works as a media coach, and makes music using AI tools.His central argument is deceptively simple and commercially important. Intelligence and consciousness are not the same thing. AI has extraordinary intelligence by any useful definition of the term. It operates in novel situations, synthesises patterns across vast datasets, and produces outputs that outperform human experts across a growing range of tasks. But there is no awareness behind any of it. No judgement. No experience. Just extraordinarily sophisticated mathematics running in complete darkness.That distinction, between what AI can do and what it understands about what it is doing, is the most commercially important question anyone deploying AI in a healthcare environment can ask right now. And it is the question most AI conversations avoid entirely.What you will learn from this episode:Why AI should have been called Applied Statistics and what that framing changes about every decision you are about to hand to itThe distinction between intelligence and consciousness that most people building AI products have never properly examinedWhat Spencer got spectacularly wrong about Spotify and what the logic of VC-funded disruption actually teaches you about how technology transforms industriesWhether this wave of AI is genuinely different from every previous automation cycle and why Spencer holds that question with genuine uncertainty rather than confident predictionWhat 20 years of watching every technology cycle teaches you when the biggest one of all finally arrivesWhy the country with the healthiest relationship with AI right now is AustraliaWhat AI in general, not just generative AI, will do to healthcare, disease detection, and the patterns no human researcher could ever find aloneKey quotes from this episode:"There is nothing behind those words. The lights are off. There is no experience. There is no judgement. There is no critical thinking. There is just nothing." — Spencer Kelly"Half of me thinks surely this is going to be the same. But then the other half thinks, this time it does feel different. Because we have always said the machines can do the dangerous, physical, heavy lifting. But we will still be making the decisions. And AI is creeping into that now." — Spencer Kelly"He looked at me like I was an idiot. Which I clearly was. I hadn't understood the power of disruption. As long as you have enough money to disrupt and end the previous model, you can do what you want." — Spencer Kelly on Daniel Ek and Spotify"AI in general is going to improve our lives, but it needs to be used by the right people for the right reasons and not just for profit." — Spencer KellyAbout Spencer Kelly:Spencer Kelly is a Cambridge computer scientist, technology broadcaster, and AI keynote speaker. He presented BBC Click for 20 years, making him one of the most trusted technology communicators in the UK. He holds a degree in computer science from Cambridge University where his final year dissertation used AI genetic algorithms to optimise the London Underground route. He now delivers keynotes on AI for business audiences globally and works as a media and presentation coach.Website: https://www.spencerkelly.com LinkedIn: https://www.linkedin.com/in/spencer-kelly-400a512/ Instagram: @spenleykelly Twitter: @spenley YouTube: @spencer0kellyOutro music:The outro music for this episode is by CLAWS, a band featuring Spencer Kelly's daughter. Used with permission. This is a real-world example of human-AI co-creation: a father and daughter making music together, augmented by AI tools. Spencer discusses this in the episode.Listen to CLAWS on Spotify: https://open.spotify.com/track/1BoKFIPMePNHMtvY4CKihF Watch on YouTube: https://youtu.be/7iOo3bWWnQAAbout TechDental:TechDental is a strategic intelligence platform for founders, executives, operators and investors shaping the future of dentistry. Independent analysis on AI, operating models and capital strategy in UK dentistry.Website: www.techdental.com Email: [email protected] Host: Dr. Randeep Singh Gill LinkedIn: https://www.linkedin.com/in/drrandeep/ Newsletter: Subscribe on LinkedIn, TechDental AnalysisSubscribe and follow:Apple Podcasts: https://bit.ly/41pKL9b Spotify: https://bit.ly/41UsqRO YouTube: https://bit.ly/3JSfl5cTechDental publishes independent analysis on AI, operating models and capital strategy in dentistry. For leaders navigating scale or structural change: www.techdental.com. Copyright Dr. Randeep Singh Gill and RIG Enterprises Limited (Company No. 11223423) 2026.

Episode Title: The Man Who Built the Playbook PE Uses to Buy Dental Groups. Now He's on Your Side.Direct Answer: James DeLuca, Founder of Precision Dental Analytics and author of Phantom EBITDA, explains why the EBITDA on a dental practice P&L almost never survives private equity scrutiny, what PE buyers are actually doing with clinical data that most founders have never seen, and why the only window to protect a dental group valuation is the pre-LOI forensic audit window. This episode of The TechDental Podcast with Dr. Randeep Singh Gill is essential listening for any UK dental founder, DSO operator, or investor navigating a dental acquisition or preparing for one.What is this episode about?Private equity is not smarter than the dental founder. They just know how to read a P&L in a way the founder has never been taught. James DeLuca spent years inside the biggest DSOs in America, building the exact playbook PE-backed buyers use to acquire, price, and extract value from dental groups. He scaled NADG from 80 to 200 locations, ran a region to 31% EBITDA, and sat in the war rooms where acquisition decisions were made. Then he switched sides.In this episode of TechDental, Dr. Randeep Singh Gill sits down with James DeLuca, Founder of Precision Dental Analytics, to explore the data asymmetry gap that costs dental founders millions at the transaction table, why the EBITDA on a clean P&L disappears under institutional scrutiny, and what the pre-LOI window actually looks like for a founder who wants to defend their valuation.This is not a surface-level conversation. It is a conversation about the structural argument underneath, what the data says, and what every dental founder building a group asset needs to understand before the moment of transaction arrives.What you will learn from this episode:Why PE buyers look at five years of your clinical data while most founders prepare three, and what the two-year gap reveals about how your practice really operatesWhat a Quality of Earnings audit actually does to your EBITDA and which findings most founders never see comingHow the 2024 Cotiviti study on D2950 billing compliance exposes core buildup patterns that look clinically reasonable but fail institutional scrutiny, with direct consequences for deal valueWhy your practice management system is an evidence locker that your buyer can read far more accurately than you can, and what defensible EBITDA looks like versus hollow growthWhat Phantom EBITDA is, where it appears on a clean P&L, and how it becomes the mechanism through which escrow holdbacks and retrades are executedWhy pre-LOI forensic defence is not only for practices with problems, and how the lens of growth differs fundamentally from the lens of risk that a buyer applies to the same dataKey quotes from this episode:"Phantom EBITDA is the money that is yours that you are going to give away at the transaction table." — James DeLuca"They're measuring the exhaust. The buyer is looking at the engine. They're pulling your whole database and looking at what each provider does, what the practice looked like before you started preparing for the sale, and whether this is sustainable income once the practice changes hands." — James DeLuca"That was $800,000 of bottom line revenue. You take that to market and multiply it by ten because you're in the institutional market. You're talking about an $8 million error that was happening in your practice. And it was just a misunderstanding." — James DeLucaFree resource for TechDental listeners:James DeLuca has made his full book, Phantom EBITDA, available free to TechDental listeners.Download here: precisiondentalanalytics.com/books/phantom-ebitda Use code TECHDENTAL at checkout for your free copy.About James DeLuca:James DeLuca is the Founder of Precision Dental Analytics and author of Phantom EBITDA. He scaled NADG from 80 to 200 locations as Regional Director, achieving 31% EBITDA. He built the operational and financial analysis playbook that PE-backed acquirers use to evaluate dental groups, then transitioned to advising sellers, helping dental founders identify and remediate the data asymmetry gaps that determine whether a valuation survives institutional due diligence.LinkedIn: https://www.linkedin.com/in/james-deluca1/ Precision Dental Analytics on LinkedIn: https://www.linkedin.com/company/precisiondentalanalytics Website: precisiondentalanalytics.comAbout TechDental:TechDental is a strategic intelligence platform for founders, executives, operators and investors shaping the future of dentistry. Independent analysis on AI, operating models and capital strategy in UK dentistry.Website: www.techdental.com Email: [email protected] Host: Dr. Randeep Singh Gill LinkedIn: https://www.linkedin.com/in/drrandeep/ Newsletter: Subscribe on LinkedIn — TechDental AnalysisSubscribe and follow:Apple Podcasts: https://bit.ly/41pKL9b Spotify: https://bit.ly/41UsqRO YouTube: https://bit.ly/3JSfl5cTechDental publishes independent analysis on AI, operating models and capital strategy in dentistry. For leaders navigating scale or structural change: www.techdental.com. Copyright Dr. Randeep Singh Gill and RIG Enterprises Limited (Company No. 11223423) 2026.