Enterprise Thought Leadership

Tim Bond returns to the conversation with Mark Edwards, author of the white paper The Human Engine: Navigating the Fifth Revolution, to explore a question that will define how organisations succeed in the coming years: can creativity be taught?The fifth revolution—driven by artificial intelligence—is upon us, but it brings with it more than just technological change. Mark explains why most people and organisations are caught in what he calls "zombie loops": patterns of activity that consume energy and time without driving meaningful progress. He discusses why fear of AI persists despite its benefits, how to escape repetitive cycles, and why human amplification—not automation for its own sake—is the real opportunity ahead.This conversation challenges conventional thinking about who is and isn't creative, exposes the dangers of cognitive overload and distracted attention, and reveals what genuinely high-performing organisations look like when they prioritise imagination and human connection alongside technology.Key topics covered:The fifth revolution and why it differs from previous technological shifts Fear of AI and how media narratives shape our perception of technology Zombie loops: getting trapped in activity that doesn't drive growth Competitive space and strategic positioning in a crowded market Creativity as a skill anyone can develop, not an innate talent Why automation has often failed and why amplification matters Human amplification: putting people in positions where they can do their best thinking Building cognitively ergonomic workspaces for real performance The role of ethics in technological change Why attention and focused thinking are more valuable than everTimestamps:00:00:00 Introduction and why we're revisiting this topic 00:01:00 Welcome and episode overview 00:02:00 Mark's background in technology and M&A 00:03:00 What is the fifth revolution? 00:05:00 Understanding fear of AI and the media narrative 00:06:00 The psychological roots of fear and tribalism 00:08:00 Cognitive overload and the zombie loop 00:09:00 What zombie loops are and why they matter 00:14:00 Competitive space and strategic positioning 00:17:00 How new sectors become saturated 00:19:00 Accelerated pace of change and adaptation 00:22:00 Automation versus human amplification 00:23:00 Why previous automation initiatives fell short 00:26:00 The importance of creativity in a changing world 00:28:00 Challenging the myth that creativity is only for creative people 00:30:00 Teaching people to think creatively 00:31:00 The responsibility of leaders in enabling creativity 00:33:00 Ethics and why technology purpose matters 00:37:00 Attention spans and focused thinking 00:39:00 Building cognitively ergonomic workspaces 00:41:00 Practical steps for leaders in the next years 00:44:00 It takes a town: Mark's community project 00:47:00 How to connect with MarkWant to learn more?Mark Edwards' whitepaper – The Human Engine: Navigating the Fifth Revolution Connect with Mark Edwards on LinkedIn: https://www.linkedin.com/in/markledwards/Connect with Tim Bond: https://www.linkedin.com/in/tngbond/If you like our podcast, please do follow us and rate each episode. Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.ioFind out more about TechPros.io: https://techpros.io/Upcoming Events and Roundtables: https://techpros.io/virtual-experiences/Join our budding podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/

Tim Bond explores Mark Edwards' white paper on the cognitive age and the shift from an industrial mindset to a new era of human-machine collaboration. This conversation uncovers what Edwards calls the liminal hour moment, a threshold point in human history where we face two fundamentally different futures. The episode traces the evolution of technological revolutions from mechanisation through to artificial intelligence, examining why our education system has left us unprepared for cognitive work, and why the answer to technological change is amplification rather than automation. Through frameworks like lighthouse versus radar, zombie loops, and the symbiosis between human judgment and machine calculation, this discussion addresses real anxiety about the future of work whilst arguing that the future is something we shape, not something that happens to us.Timestamps00:00:00 Introduction and the question that sparked this episode00:01:00 Five workshop participants express anxiety about the future00:02:00 The paradox: job data shows employment growing despite AI adoption00:03:00 Jobs are bundles of tasks, tasks become redundant, not jobs00:04:00 Introducing Mark Edwards' white paper, The Human Engine00:05:00 The liminal hour: waking at 4 AM and seeing two futures00:06:00 A threshold moment between two eras: industrial age to cognitive age00:07:00 Drift and zombie loops: the cost of cognitive overload00:08:00 Why we're trapped in cycles of activity without insight00:09:00 Education for an industrial era, applied to a cognitive age00:10:00 The biological reality of cognitive load and decision-making00:11:00 The five technological revolutions and the pattern00:12:00 The lighthouse versus radar analogy: shifting from focus to context00:13:00 Automation versus amplification: the critical reframe00:14:00 Convergence: the fusion of separate AI modalities00:15:00 Concrete examples: doctors, city planners, and the mesh in action00:16:00 Technology must adapt to humans, not vice versa00:17:00 The human engine framework: cleaning the cognitive lens00:18:00 Cognitive ergonomics and aircraft cockpit design principles00:19:00 Clarity by design and human-first structures00:20:00 Machines compute, humans imagine00:21:00 Capability versus authority: what machines can and cannot decide00:22:00 The Einstein rule: 55 minutes on the problem, five on the solution00:23:00 Moral revolution and the choice between drift and designGuest bioMark Edwards brings three decades of experience in software company mergers and acquisitions. As founder of Boss Equity (established 1999), he has worked with thousands of software companies across document management, workflow automation and enterprise solutions. His pattern-matching across hundreds of exits reveals why most software businesses fail to escape mediocrity. Mark combines his early creative background in photography with deep commercial expertise to help founders understand strategic positioning and market dynamics. Connect with Mark on LinkedIn.Resources and links mentionedTim Bond on LinkedInMark Edwards on LinkedInAccess Mark Edwards' whitepaper – The Human Engine: Navigating the Fifth Revolution Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality and job satisfaction? Get your FREE AI Opportunity Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.Follow and rate the podcast on Spotify or Apple Podcasts. Got a burning topic or question? Email podcasts@techpros.io Find out more about TechPros.io: https://techpros.io/ Upcoming events and roundtables: https://techpros.io/virtual-experiences/ Join the podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/

Marie Wilcox, VP of Marketing at Binalyze, has built a marketing engine powered by AI agents—what she calls Nova Bots—that has fundamentally changed her go-to-market motion. Moving from a traditional SDR model to agentic workflows trained on intent data and personalised content, she has achieved MQL-to-SQL conversion rates of 18–20%, improved lead quality significantly, and accelerated sales cycles. But here's the critical insight: the technology only works if the foundation is solid. "Without good training, without good product knowledge, you just end up with rubbish," Marie says.In this episode, she walks through the practical implementation, the role of tools like HubSpot, Clay, n8n, and custom GPTs, and why the future of marketing demands prompt engineering and GTM engineering skills. The conversation challenges the myth that AI replaces people—instead, it augments expertise when deployed thoughtfully.Timestamps00:00:00 - AI as enhancement, not replacement.00:03:00 - Finalize and the problem it solves.00:05:00 - How forensic data automation works.00:08:00 - Enterprise and MSP customer base.00:09:00 - Marketing mix: thought leadership, events, inbound, outbound.00:10:00 - Replacing SDRs with AI agents.00:11:00 - Nova Bots: personalisation at scale using Clay and N8N.00:13:00 - Building custom GPTs for consistent messaging.00:16:00 - How sophisticated workflows simplify outbound.00:18:00 - Intercom and website chat automation.00:20:00 - Results: conversion rates and ROI.00:21:00 - MQL to SQL conversion improvement to 18-20%.00:23:00 - AI training, hallucination risks, and human oversight.00:25:00 - Company-wide AI Day and N8N learning.00:28:00 - AI as a resource, not a replacement.00:30:00 - The future of marketing skills.00:33:00 - The evolving landscape of AI tools.00:34:00 - Final advice for marketers embracing AI. Guest bioMarie Wilcox is Vice President of Marketing at Binalyze, a next-generation automated investigation and response platform for cybersecurity teams. With 20 years of B2B marketing experience across cybersecurity, data analytics, and SaaS, she has worked with enterprises including BAE Systems, Siemens, and McLaren Applied, as well as high-growth scale-ups. Marie is a Fellow of the Chartered Institute of Marketing, chairs the CIM Southeast Region, and sits on the board of the Chartered Institute of Information Security. She pioneered two Gartner market categories: Continuous Controls Monitoring and Cloud Investigation Response Automation.Resources and links mentionedMarie Wilcox on LinkedIn Tim Bond on LinkedIn BinalyzeHubSpotClay n8nIntercomWant to teach your team to build their own AI agents that act like teammates, boosting productivity, quality and job satisfaction? Get your FREE AI Opportunity Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.Follow and rate the podcast on Spotify or Apple Podcasts. Got a burning topic or question? Email podcasts@techpros.io Find out more about TechPros.ioUpcoming events and roundtables: https://techpros.io/virtual-experiences/ Join the podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/ Follow the Enterprise Thought Leadership podcast on Spotify and Apple Podcasts to never miss an episode. Rate and review the show on your preferred platform. Join the growing podcast community on LinkedIn to connect with other business leaders exploring AI, automation, and the future of work.Want to teach your team to build their own AI agents?Get your free AI Acceleration Report at cogniscale.com/ai-acceleration-report. This quick survey and consultation maps priority workflows, time saved, and ROI from an AI upskilling programme. Available for organisations with teams of six or more. Use promo code PODCAST when you visit.

"Efficiency truly is a race to the bottom. If everybody has a hundred times the same capability, it no longer becomes a differentiator." Nikki Barua, CEO and co-founder of FlipWork.Tim Bond speaks with Nikki Barua, CEO and co-founder of FlipWork, about why companies are pouring money into AI technology but leaving their people behind. Nikki calls this the "exponential divide", the growing gap between the speed of AI and the speed at which people are adapting. With 25 years helping Fortune 500 companies navigate technology disruption, she argues that efficiency gains alone are a race to the bottom. The real opportunity lies in what organisations do with the capacity AI creates, and that starts with preparing people, not just installing tools.Guest bio Nikki Barua is CEO and co-founder of FlipWork. A serial entrepreneur and bestselling author, she has spent 25 years driving business change at Fortune 500 companies, with early career roles at EY, Compuware and Sapient. Her work has been featured in CNBC, Bloomberg, Fortune and Forbes.Timestamps 00:00:00 Introduction and Nikki's career background 00:03:00 What is FlipWork and its mission 00:04:00 The people squared concept and human-machine collaboration 00:06:00 Why efficiency is a race to the bottom 00:07:00 The future of AI in areas like leadership judgement and context 00:08:00 Why the quality of human input determines AI output quality 00:09:00 Same-day delivery analogy: when AI efficiency becomes table stakes 00:10:00 The real differentiator: imagination and creativity 00:11:00 How the best companies improve every step of their value chain 00:14:00 What to do with greater collective capacity 00:15:00 A word from our sponsor, CogniScale 00:16:00 FlipWork's grassroots approach using 90-day sprints 00:19:00 Why AI training alone does not change businesses 00:20:00 Who should lead AI adoption and the COO's role 00:22:00 FlipWork's proprietary diagnostic and agentic velocity assessment 00:24:00 Success breeds more success: building momentum across teams 00:25:00 The 36-point diagnostic survey 00:27:00 Phase one: human augmentation vs fully automated workflows 00:28:00 Priming: preparing individuals and teams for the agentic future 00:29:00 Blank slate thinking: designing from the future state back 00:31:00 Why this is good for careers, not just companies 00:32:00 FlipWork's go-to-market: Fortune 500 clients and big four partnerships 00:34:00 Proprietary methodology and partner licensingResources and links Nikki Barua on LinkedIn: https://www.linkedin.com/in/nikkibarua/ Tim Bond on LinkedIn: https://www.linkedin.com/in/tngbond/ FlipWork: https://www.flipwork.aiWant to teach your team to build their own AI agents that act like teammates, boosting productivity, quality and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.Follow and rate the podcast on Spotify or Apple Podcasts. Got a burning topic or question? Email podcasts@techpros.io Find out more about TechPros.io: https://techpros.io/ Upcoming events and roundtables: https://techpros.io/virtual-experiences/ Join the podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/

Why do successful marketing teams suddenly lose their pipeline? Philippe Ruttens, fractional CMO with 30 years of experience, reveals it's not about tools or tactics. It's about failing to align with commercial reality. Philippe challenges the "AI first" narrative, arguing that revenue marketing must come before AI implementation. He shares his three-phase methodology: foundation, execution and scaling. The conversation explores managing multi-generational dynamics, why marketing's safety net now lies in unique value rather than job titles, and why the CMO of the future must speak the language of the CFO."The true safety net now is your unique value rather than your employer. Your network, your mindset, being able to say no also is important."Guest bioPhilippe Ruttens is a fractional CMO and marketing transformation coach with 30 years of experience across major organisations including Accenture and Arthur Andersen. He specialises in helping B2B marketing teams transition from traditional brand-focused approaches to revenue-centric models, with particular focus on organisational change management across multi-generational teams.Timestamps00:01:00 – Philippe's 30-year career journey and recent return from Japan00:02:00 – The speed of change: how every skill and role must adapt00:04:00 – Mindset versus aptitude: why attitudes are harder to change than skills00:06:00 – AI's impact on bottom line versus top line: productivity and efficiency00:07:00 – Organisational alignment as the biggest gap in AI transformation00:08:00 – Moving a marketing team from AI-agnostic to AI-forward00:09:00 – Why "AI first" really means human and strategic first00:11:00 – The three phases: foundation, execution and scaling00:13:00 – Change management through workshops, reporting and governance00:15:00 – What transformational leadership looks like during change00:17:00 – Leading multi-generational teams: Gen X, millennials and Gen Z00:20:00 – Staying relevant through curiosity, openness and routine learning00:22:00 – Why your unique value matters more than your employer00:25:00 – The safety net: being a connector and facilitator00:26:00 – The CMO's evolving role: from brand focus to revenue marketing00:29:00 – Agentic AI opportunities and the dangers of shiny objects00:32:00 – Why human augmentation should come before complex workflows00:34:00 – Key advice: align your KPIs with board language and prioritiesResources and linksPhilippe Ruttens on LinkedIn – https://www.linkedin.com/in/ruttensTim Bond on LinkedIn – https://www.linkedin.com/in/tngbond/Want to teach your team to build their own AI agents?Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.FREE AI Acceleration Report – https://cogniscale.com/ai-acceleration-reportFollow the podcastIf you enjoyed this episode, please follow us and rate each episode:Apple Podcasts – https://podcasts.apple.com/za/podcast/enterprise-thought-leadership/id1727689721 Spotify – https://open.spotify.com/show/2NVPXPA0aaDcvHW2EtQcnbHave burning topics or questions for the podcast? Email podcasts@techpros.ioFind out more at techpros.ioUpcoming events and roundtables – https://techpros.io/virtual-experiences/Join our podcast community – https://www.linkedin.com/company/enterprise-thought-leadership/TranscriptA full transcript of this episode is available on request.

End users now expect access to all data, all systems, all the time. That simple demand is forcing automation vendors to rethink everything about how they build software. For an industry built on hardware, the shift is fundamental: software has become the key differentiator, the interface customers touch and see.Martin Jette, Vice President of Partner Sales Solution Providers at AVEVA, has spent 30 years navigating this transformation. In this episode, he and host Taryn Breetzke explore the build versus partner dilemma facing automation vendors, the importance of interoperability, and why collaboration across customers, suppliers and even competitors has become essential.The conversation examines the three-layer automation stack creating new competitive pressures, shifting hiring patterns, the Accenture-Siemens partnership and practical frameworks for partnership decisions, highlighting how companies like Rockwell Automation now generate 35% of their revenue from software.Martin explains why the looming 2038 bug means vendors must make architecture decisions now rather than later, and how companies like Eaton and Axens are partnering with AVEVA to create entirely new service-based business models in manufacturing.Guest bioMartin Jette is Vice President of Partner Sales Solution Providers at AVEVA, where he leads embedded and managed solutions programmes. A chemical engineer by training, Martin has spent 30 years at AVEVA building partnerships with automation vendors including Rockwell, Honeywell, Eaton and Yokogawa. He is based in Montreal, Canada.Timestamps00:01:55 – Martin's background and 30 year journey at AVEVA 00:05:33 – How software has become the differentiator in automation 00:07:41 – The Accenture-Siemens partnership and what it signals 00:09:34 – Customer expectations: all data, all systems, all the time 00:11:40 – Openness and interoperability as table stakes 00:15:02 – The build vs. partner framework 00:19:11 – Radical collaboration and the Axens connected catalyst example 00:21:43 – Competitive pressures and disruption from multiple directions 00:27:31 – Why the partnership approach is here to stay 00:28:15 – Real barriers from automation vendors 00:33:05 – The Y2038 bug and why decisions must be made now 00:33:41 – Measuring success: Rockwell's 35% software revenue 00:38:40 – Three practical recommendations for automation leadersResources and linksMartin Jette on LinkedIn – VP Partner Sales, Embedded and Managed Solutions programs at AVEVATaryn Breetzke on LinkedIn – Podcast hostAVEVA – AVEVA is a global leader in industrial software, helping businesses modernise operations and improve sustainability.Rockwell Automation – Partnership example discussedEaton Corporation – AVEVA Edge integration exampleAxens – Connected catalyst case studyThought Leadership research - The software dilemma in industrial automationSubscribe and connectIf you enjoyed this episode, please follow and rate the show.Listen on SpotifyListen on Apple PodcastsJoin the LinkedIn communityHave a topic or question for the podcast? Email podcasts@techpros.ioFind out more about TechPros.io: https://techpros.io/

Tim Bond speaks with leadership coach and author Payal Nanjiani, whose work spans Fortune 500 organisations, mid-sized firms and fast-growth teams across the world. Payal explains why many leaders feel unsettled about AI despite their excitement, and how this shift reveals something deeper about how people learn, grow and relate to one another.Payal draws on her experience working across industries from entertainment to manufacturing, sharing why human qualities such as presence, emotional balance and reflective thinking now matter more than ever. She explains how leaders can move from being sources of information to becoming sources of inspiration and transformation for their teams.This episode is brought to you by Cogniscale. Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST details in the show notes.Timestamps:00:01:00 Payal's journey from corporate HR to executive coaching00:04:00 Blending Eastern philosophy with Western leadership00:06:00 Working across industries on people transformation00:09:00 AI as a tool for augmentation rather than replacement00:12:00 Mixed reactions from leaders: excitement and fear00:16:00 How leaders can help people find themselves00:19:00 Cultivating qualities that machines cannot replicate00:21:00 CEO resistance to AI transformation00:25:00 Moving from top-down announcements to collaborative communication00:29:00 Partnering with AI without losing individuality00:33:00 Self-mastery as the key leadership skill00:34:00 The importance of morning routines and reflection00:36:00 Remembering what makes humans irreplaceableWant to learn more? Connect with Payal Nanjiani on LinkedIn: https://www.linkedin.com/in/payalnanjiani/ Visit Payal's website: https://nanjiani.com Connect with Tim Bond: https://www.linkedin.com/in/tngbond/If you like our podcast, please do follow us and rate each episode. Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.ioFind out more about TechPros.io: https://techpros.io/ Upcoming Events and Roundtables: https://techpros.io/virtual-experiences/ Join our budding podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/

One month after ChatGPT launched, IE University's CEO issued an institutional statement: AI is "here for the rest of our lives". Since then, Chief Data Analytics Officer Francisco Aragonés has led their systematic approach to embedding AI across education. The results? Higher student engagement, improved grades, and a blueprint for how educational institutions can adopt AI whilst keeping humans at the centre. Tim Bond explores how IE University built what Francisco calls a "Swiss Army knife" of AI tools, from Socratic dialogue chatbots that develop critical thinking to AI tutors extending professors' reach beyond the classroom.Guest bioFrancisco Aragonés is Chief Data Analytics Officer at IE University in Spain, where he leads AI implementation across all educational programmes. With a background spanning data analytics and educational technology, Francisco oversees the development of multiple AI artifacts designed for different pedagogical needs. Under his leadership, IE University has become a model for AI adoption in higher education, achieving measurable improvements in student outcomes whilst maintaining the human connection essential to learning.Timestamps00:00:00 Introduction to AI in education at IE University00:02:30 CEO's decisive AI statement one month after ChatGPT00:05:15 The Swiss Army knife approach to educational AI tools00:08:45 Building Socratic dialogue chatbots for critical thinking00:12:20 AI tutors extending professor availability00:16:00 Measuring impact: engagement rates and grade improvements00:19:30 Change management: bringing faculty on the journey00:23:15 Addressing academic integrity and AI detection00:27:00 Student feedback systems using rubrics00:31:30 Agent hierarchies adapting to student queries00:35:45 Making quality education globally accessible00:39:20 Preparing students for AI-enhanced workplaces00:43:00 Future vision for AI in education00:46:30 Practical implementation advice for institutions00:49:00 Closing thoughts on human-centred AI educationResources and links• Francisco Aragonés on LinkedIn – Chief Data Analytics Officer at IE University• Tim Bond on LinkedIn – Podcast host and enterprise technology expert• IE University – Leading institution for AI in education• The Swiss Army Knife of Educational AI: Empowering Faculty with Modular Tools for Pedagogical Augmentation• ChatGPT in Education Resources – OpenAI educational guidelines• EU AI Act – Regulatory framework mentioned in discussion• Socratic Method in Digital Learning – Educational methodology researchWant to teach your team to build their own AI agents that act like teammates, boosting productivity, quality, and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.Follow the podcast• Apple Podcasts• Spotify• LinkedIn: Enterprise Thought LeadershipContact: tim@cogniscale.com

Sumeet Arora, Chief Product Officer at Teradata, joins Tim Bond to discuss why the shift to autonomous enterprises demands far more than simply deploying AI agents. With Teradata serving major banks, retailers, and global organisations for over four decades, Sumeet explains how the traditional enterprise stack of hundreds of workflow-centric applications is evolving into knowledge fabrics that power agent layers with outcome-oriented interfaces.The conversation explores Teradata's three competitive differentiators: efficient processing engines built for always-on agent workloads, true on-premises and multi-cloud capability that brings AI to where data lives, and industry knowledge models developed across 10 sectors that make agents enterprise-grade rather than experimental. Sumeet shares real examples, including SECI Brazil's 200% increase in credit offers without changing delinquency rates, and explains why 80% of AI projects are not moving from demos to deployment.Timestamps00:01:05 - Announcing Agent Builder: Teradata's platform for autonomous AI agents.00:03:13 - The evolution to autonomous enterprise: from connected to digital to autonomous.00:04:19 - How the enterprise tech stack is changing from applications to knowledge fabrics.00:08:02 - Why starting with clear, measurable outcomes is essential for AI ROI.00:11:04 - Foundation models: bring your own LLM or use Teradata's small, medium, large options.00:12:02 - Agent builder layer: open-source integration with MCP server.00:13:24 - User experience evolution: from workflow-oriented to outcome-oriented.00:16:25 - Teradata's three competitive differentiators explained.00:17:08 - Why agents never sleep: the efficiency advantage of always-on workloads.00:18:00 - On-premises and multi-cloud: bringing AI to where your data actually lives.00:20:17 - Industry knowledge models: data models across 10 industries developed over decades.00:24:48 - Real customer examples: from credit risk to fraud reduction to compliance.00:28:55 - Organisation readiness: training every employee to build and use agents.00:31:13 - The people side: augmentation versus replacement in the AI era.00:34:15 - Going back to basics: AI requires clean code, knowledge and data.00:36:00 - The architecture conversation enterprises are not having yet.Guest bioSumeet Arora is Chief Product Officer at Teradata, where he leads product strategy for one of the world's leading enterprise data and analytics platforms. With extensive experience at Cisco, building secure, affordable internet infrastructure and at ThoughtSpot, democratising data analytics for business users, Sumeet focuses on changing industries for the better. At Teradata, he is driving the evolution from data platforms to knowledge platforms that enable the autonomous enterprise.Resources and linksSumeet Arora on LinkedInTim Bond on LinkedInTeradata Agent Builder informationThis episode is brought to you by Cogniscale, which helps teams build and scale their AI workforce.Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality, and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.If you enjoyed this episode, please follow Enterprise Thought Leadership on your preferred platform and rate the show. Have burning topics or questions you would like explored? Email the team at podcasts@techpros.ioFind out more about TechPros.ioUpcoming events and roundtablesJoin the podcast community on LinkedInListen on Apple PodcastsListen on Spotify

Tim Bond speaks with Carson Hostetter , who leads RingCentral's AI and customer experience strategy, about how voice technology is reshaping business operations from call centres to reception desks. RingCentral handles billions of minutes of voice annually across 500,000 customers globally. Their AI receptionist product launched in June 2024 and already serves over 3,000 customers, demonstrating strong market appetite for automated voice solutions.The conversation explores two critical benefits. First, voice agents handle customer interactions naturally, without forcing callers through menu trees. Second, every interaction generates transcripts that reveal customer sentiment, sales opportunities, service gaps and product development insights. Carson explains why RingCentral partners with multiple AI providers including OpenAI, Google and AWS, maintaining an open platform rather than building proprietary models. The discussion covers implementation, from five-minute setup for small businesses to complex enterprise integration, and examines how AI enables market expansion rather than just cost reduction.Topics covered• Traditional IVR limitations versus natural language voice agents.• Setting up AI receptionists in under five minutes with minimal configuration.• Transcript analysis for sentiment tracking, opportunity identification and business intelligence.• Open platform strategy with multiple AI providers versus proprietary models.• Performance benchmarks and customer adoption rates since June 2024 launch.• Use cases spanning reception, technical support and complex customer service.• Future work patterns and the optimistic case for AI augmentation.• Moving from defensive cost-cutting to offensive market expansion strategies.• How small businesses and enterprises apply the technology differently.Timestamps00:00:00 Introduction and AI's competitive impact00:05:23 RingCentral overview and market position00:09:00 Evolution from ChatGPT moment to voice agents00:15:17 Market readiness for AI solutions00:17:50 Why voice AI is easier than traditional IVR systems00:20:00 The data opportunity from call transcripts00:25:27 Performance benchmarks and customer growth metrics00:27:31 Use cases from reception to complex support scenarios00:30:21 Why "AI receptionist" undersells the platform capability00:32:31 Future patterns of work and employment outlook00:36:22 Why choose RingCentral and how to get startedGuest bioCarson Hostetter leads RingCentral's AI and customer experience strategy, bringing 26 years of communications industry experience. Starting with Nortel Networks in 1999, he joined RingCentral in 2016 to build and scale the company's enterprise business. After serving as Chief Revenue Officer for three and a half years, Carson now focuses on developing RingCentral's next generation of AI-infused communication solutions, ensuring practical customer outcomes whilst maintaining the company's open platform philosophy across partnerships with major AI providers.Related episodesBrowse previous episodes exploring AI implementation and business transformation at TechPros.io.Follow the Enterprise Thought Leadership Podcast on Apple and Spotify to never miss an episode. Leave a rating to help others discover these conversations. Share your burning questions or topic suggestions by emailing podcasts@techpros.io.Join the growing podcast community on LinkedIn.Explore upcoming TechPros.io roundtables and virtual experiences.