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Elevate Your AIQ

Elevate Your AIQ

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 Bob Pulver is helping each of us navigate our respective journeys with artificial intelligence (AI) effectively and responsibly. Bob chats with AI and Future of Work experts, talent and transformation leaders, and practitioners who provide diverse perspectives on how AI is solving real-world challenges and driving responsible innovation.All rights reserved by WRKdefined Développement commercial et entrepreneuriat Entrepreneurship Gestion et leadership Économie
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  • Ep 108: Disrupting Insurance While Building Responsibly with Juan Garcia

    Ep 108: Disrupting Insurance While Building Responsibly with Juan Garcia
    Mar 6 2026
    Juan Garcia, co-founder of Tuio, a fully digital insurance company based in Spain, joins Bob to discuss how Tuio is reimagining personal lines insurance for digitally-native consumers long underserved by traditional carriers. Juan shares how Tuio evolved its AI strategy from chasing operational efficiency to making smarter decisions across marketing, underwriting, and claims. Tuio built a proprietary AI claims agent that surfaces next-best-action recommendations with confidence scores, always with a human in the loop. The conversation also explores Tuio's grassroots approach to AI literacy, responsible design, and the organizational courage required to fundamentally rethink how a company works. Keywords Juan Garcia, Tuio, insurtech, digital insurance, personal lines, Spain, AI strategy, claims automation, Watson, human in the loop, AI literacy, responsible AI, subscription insurance, underwriting, organizational transformation, vertical AI, bottom-up innovation Takeaways Tuio identified a digitally-native consumer segment structurally unprofitable for traditional insurers and built a model around serving them through simplicity and transparency Most AI pilots focus on the wrong 10%: cost-to-serve efficiencies. Real value lies in improving decisions across marketing and claims, which represent ~85% of an insurer's cost base Watson processes multimodal inputs and generates next-best-action suggestions with confidence scores — routing complex ones to human reviewers Tuio never automates negative customer decisions — not just due to EU regulation, but because human empathy is irreplaceable in those moments By subsidizing any AI tools employees want to explore, Tuio unlocked bottom-up innovation — including a veterinarian who independently proto-built Watson's logic for pet health claims The real barrier to enterprise AI transformation is organizational courage: reworking processes and structures around AI requires strong leadership Quotes "AI is something that makes you rethink the way you do your whatever you do — and that's going to be different industry per industry, even company per company." "We switched from chasing cost-to-serve efficiencies to using AI to make better decisions — growing efficiently, underwriting smarter, and managing claims more effectively." "We will never automate negative decisions. If you start from the standpoint that your customers are your most valuable resource, you want to give them the most humane treatment you can." "If you don't give people these tools, you'll miss all the bottom-up ideas from the people actually in the trenches every day." "Even if you can build it, it doesn't mean you should. Just because AI can do something doesn't mean you should deploy it there." Chapters 00:02 Welcome and introductions 00:44 Juan's background: from telecom engineer to insurtech co-founder 03:31 Horizontal vs. vertical AI value — where the real opportunity lies 06:41 Tuio's target market and the underserved digitally-native consumer 12:54 Rethinking insurance: digital simplicity as competitive advantage 16:03 Tuio's AI evolution: from chatbot to decision intelligence 20:54 Watson: Tuio's AI claims agent and the shift to next-best-action 23:24 Human in the loop: why some decisions will never be automated 28:53 Building AI literacy through empowerment, not training mandates 32:52 Bottom-up innovation and the veterinarian who built Watson's prototype 40:31 AI readiness, responsible design, and knowing what not to build 45:15 Organizational courage and why AI transformation is harder than those before it 53:30 Closing reflections and what's next for Tuio Juan Garcia: https://www.linkedin.com/in/juanga2/ Tuio: https://tuio.com/ For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    55 min
  • Ep 107: Measuring AI Maturity, ROI, and Organizational Impact with Russ Fradin

    Ep 107: Measuring AI Maturity, ROI, and Organizational Impact with Russ Fradin
    Feb 27 2026
    Bob Pulver sits down with Russ Fradin, Founder and CEO of Larridin, to explore what it really takes for organizations to move from AI experimentation to measurable impact. They unpack the tension between AI excitement and enterprise reality, focusing on ROI, workforce readiness, responsible adoption, and the cultural shifts required to unlock productivity gains. Russ outlines why measurement and visibility are the missing pieces in most AI strategies and makes the case that high-agency professionals who embrace AI will shape the future of work. The conversation reframes AI not as a job eliminator, but as a force multiplier—if leaders build the right scaffolding to support their people. Keywords Russ Fradin, Larridin, AI ROI, AI readiness, AI maturity, workforce transformation, CIO strategy, CHRO strategy, CFO decision-making, productivity measurement, high-agency professionals, AI adoption, responsible AI, enterprise AI, organizational change Takeaways AI adoption without measurement leads to experimentation without accountability. CIOs, CFOs, and CHROs need visibility into what tools are actually being used—and whether they drive real productivity. The future of knowledge work is humans working with AI tools alongside agents. High-agency professionals who embrace AI will dramatically amplify their output and career trajectory. Organizations must move beyond individual productivity metrics toward team and enterprise-level effectiveness. Responsible AI adoption requires training, policy scaffolding, and clarity around secure, enterprise-grade usage. Companies that reinvest AI-driven productivity into growth will outperform those focused solely on short-term margin gains. Quotes “You can’t possibly understand the ROI of these tools without understanding what’s being used in your organization.” “Having great technology is necessary, but not sufficient to drive change.” “The future of work is humans using AI tools, working alongside agents.” “There’s no such thing as a knowledge worker five years from today who isn’t using AI in some part of their job.” “We’re effectively redefining what it takes to succeed in a lot of these roles—in real time.” “The companies that don’t partner with their employees on this transformation will get left behind.” Chapters 00:02 Welcome and Introduction 00:31 Russ’s Background and the Vision Behind Larridin 01:32 Why AI Is a Generational Technology Shift 03:34 The Measurement Gap in Enterprise AI Adoption 06:17 Workforce Anxiety and AI Upskilling 10:33 The ROI Question and Productivity Metrics 15:10 Global Talent, Competition, and AI Parallels 20:17 Responsible AI and Security Considerations 26:20 Building the Scaffolding for Adoption 30:48 Understanding What “Great” Looks Like 34:55 Who Captures the Productivity Gains? 40:22 The High-Agency Advantage in the AI Era 46:09 Why Smart Companies Invest in Their People 52:04 What’s Next for Larridin 53:09 Closing Remarks Russ Fradin: https://www.linkedin.com/in/rfradin Larridin: https://larridin.com For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    55 min
  • Ep 106: Activating Network Intelligence to Unlock Strategic Opportunities with Stephen Messer

    Ep 106: Activating Network Intelligence to Unlock Strategic Opportunities with Stephen Messer
    Feb 20 2026
    Bob Pulver is joined by Stephen Messer, serial entrepreneur and co-founder of Collective[i] and Intelligence.com, to explore how collective intelligence, social analytics, and contextual AI are reshaping how business gets done. Stephen challenges the limitations of traditional SaaS and language models, arguing that true AI value comes from modeling real-world systems — especially how trust, relationships, and buying decisions actually unfold. The conversation dives into economic foundation models, the hidden power of relationship graphs, and why activating trusted networks may be the missing link in sales, hiring, and enterprise decision-making. Together, they unpack how removing friction and restoring context can unlock warp-speed productivity and more human-centered outcomes. Keywords Stephen Messer, Collective[i], Intelligence.com, collective intelligence, economic foundation model, relationship graphs, trust networks, contextual AI, sales productivity, forecasting, CRM transformation, go-to-market strategy, weak ties, network intelligence, AI agents, decision-making Takeaways Collective intelligence enables AI to model real-world business systems, not just generate language or automate workflows. Context — including relationships, timing, incentives, and market conditions — is the missing ingredient in most AI-driven decision-making. Traditional SaaS stacks create “silos of intelligence,” limiting visibility and reducing the effectiveness of AI tools layered on top. Relationship graphs built from verified interactions unlock faster, higher-trust introductions and better business outcomes. Trust acts as an accelerator in commerce, reducing friction and enabling decisions at “warp speed.” Economic foundation models can forecast deal outcomes and market shifts by observing patterns across organizations. AI should remove internal friction so humans can focus on value creation, not administrative workflows. The future of work depends on combining contextual intelligence with trusted human networks. Quotes “To the man with a hammer, the world looks like a nail.” “You’re not modeling words — you’re modeling a system.” “If I don’t understand the context, I can’t understand the outcome.” “Trust enables transactions at warp speed.” “Most AI today is predicting the next best word — not the next best decision.” “The friction to leverage your own network is far too high.” Chapters 00:01 Introduction and Stephen’s Entrepreneurial Journey 00:40 Founding Collective[i] and the Vision Behind It 02:22 Replacing the Traditional Sales Stack with Contextual AI 05:46 Why Context Matters More Than Prompt Engineering 09:18 Systems of Record vs. Systems of Understanding 16:01 The Limits of LinkedIn and Relationship Context 23:24 Introducing Intelligence.com and Verified Networks 36:39 The Origins of Collective Intelligence and Economic Modeling 48:20 Trust Networks, Hiring, and Weak Ties 55:52 Forecast Series and the Power of Long-Form Dialogue 1:00:58 Closing Thoughts and What’s Next Stephen Messer: https://www.linkedin.com/in/stephenmesser Collective[i]: https://collectivei.com/ Intelligence.com For advisory work and marketing inquiries: Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠ Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠ Substack: ⁠https://elevateyouraiq.substack.com⁠
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    1 h et 2 min
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