AI InterConnect Podcast

Laurent Cochet
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Invite Leaders in Businesses from Proptech to B2B and Technology to AI AI Interconnect Podcast is where the next generation of business builders, Proptech pioneers, and AI-native entrepreneurs come to share raw insights, real struggles, and breakthrough ideas. Hosted by Laurent, a Proptech operator turned AI agency founder, this show isn’t another hype machine — it’s a deep-dive into what’s actually working in the trenches of real estate tech, logistics, automation, and AI adoption.

  1. 5d ago

    Will AI Replace SDRs? The Future of B2B Sales and AI Automation

    In this episode, Laurent Cochet interviews Mar Sneeg, founder of Ground Game Sales, about how AI is transforming sales organizations. They explore the evolution of AI in sales, building with AI tools, and strategies for integrating AI into sales teams to improve performance and reduce costs. key topics Evolution of AI in sales from cold calling to AI-powered prospecting Building with AI: tools, platforms, and strategies AI coaching and real-time feedback for sales reps Cost reduction and efficiency in global sales teams Using intent signals and data for better prospect targeting Rapid prototyping and implementation of AI solutions The importance of human judgment in AI-driven sales Future trends in AI and sales infrastructure sound bites "AI should improve human performance, not replace it" "You need to learn how to build with these tools" "AI coaching provides immediate, actionable feedback" Chapters 00:00 Introduction to AI Interconnect and guest Marc Sneeg 00:27 The evolution of Ground Game from cold calling to AI integration 01:02 Mark's background in real estate and sales 01:27 How Ground Game started and its focus on outbound sales 02:20 The shift towards AI and building with AI tools 04:02 Developing AI tools for prospect context and coaching 06:00 Putting humans at the center of AI in sales 07:26 Building roadmaps and prioritizing AI projects 08:04 Preparing salespeople with AI-driven prospect insights 09:37 The role of volume and quality in outbound sales 12:32 Using intent signals and signals for outreach timing 15:57 AI coaching and understanding why some convert 18:50 AI's impact on sales team economics and structure 22:08 The future of offshoring and global sales teams 23:49 Skills needed for sales roles in the AI era 24:10 Building AI roadmaps and identifying organizational pain points 26:48 Prioritizing AI projects with quick prototypes 28:17 The role of real-life interactions and AI infrastructure 30:24 Preparing for AI integration in future sales organizations 33:14 Closing remarks and where to find more about Ground Game Sales keywords AI in sales, sales automation, AI tools, sales team building, AI strategy, ground game sales, sales coaching, prospect intelligence, AI implementation, sales performance, AI for B2B sales, AI sales automation, B2B sales automation, B2B sales, outbound sales, outbound sales strategy, AI SDR, AI SDR tools, sales development representatives, future of SDRs, AI sales coaching, sales intelligence, intent signals, buyer intent data, B2B lead generation, enterprise lead generation, sales prospecting, cold calling, cold email, human AI collaboration, #AIInterConnect, #Podcast, #MarcSnegg, #GroundGameSales, #GroundGame, #GameTimeAI, #B2BSales, #Sales, #SalesLeadership, #SalesTechnology, #SalesTech, #SalesAutomation, #AISales, #AIForSales, #AISalesAutomation, #AIForB2BSales, #ArtificialIntelligence, #EnterpriseAI, #AIImplementation, #AIAdoption, #SalesIntelligence, #IntentSignals, #BuyerIntent, #LeadGeneration, #B2BLeadGeneration, #OutboundSales, Marc Snegg, Founder & CEO of Ground Game Sales, joins AI InterConnect to explore whether AI will replace SDRs—or make human sales teams dramatically more effective. Marc explains how Ground Game combines AI-powered prospect intelligence, intent signals, cold calling, global sales teams, and its GameTime AI coaching platform to improve B2B sales performance. He shares why better account intelligence can help salespeople reach the right buyer at the right moment, how AI can analyze calls and provide immediate coaching, and why human conversations remain critical as automated outreach creates more digital noise. The conversation also explores AI implementation, global talent, sales automation, and why real-world human relationships could become even more valuable as AI becomes standard business infrastructure. Subscribe to AI InterConnect for conversations with founders and AI leaders building the future of B2B growth.

    Will AI Replace SDRs? The Future of B2B Sales and AI Automation

  2. 5d ago

    AI Is Sucking the Wind Out of Everything: What Happens to Innovation?

    In this episode, Steve Carnevale from Blue Ash Ventures discusses the intersection of AI, brain health, and human performance. He explores the risks of AI-driven systems prioritizing financial returns over human needs, the importance of human-centered AI, and the future of venture capital in AI innovation. key topics AI's impact on healthcare and brain health The importance of human-centered AI Venture capital's role in AI development Neuroscience insights into dyslexia and brain performance The risks of AI prioritizing financial returns over human needs sound bites "We are born with different brains, but society isn't organized around that" "AI is sucking the wind out of healthcare investment" "Prioritize human return over financial gain" Chapters 00:00 Introduction to the episode and guest 02:25 Understanding dyslexia through neuroscience 03:21 The golden age of neuroscience and new discoveries 04:17 The importance of organizing society around brain health 05:30 Blue Ash Ventures' mission and focus on brain flourishing 07:29 Using AI to measure social emotional capabilities in children 09:42 The decline of social emotional skills and AI's role in addressing it 11:30 Concerns about AI funding and its influence on healthcare 13:19 AI's economic impact and the need for human-centered systems 16:45 What human-centered AI means and its importance 18:58 The urgency of creating AI layers that serve human needs 20:23 The risk of AI systems controlling society and the need for regulation 23:39 Distinguishing durable AI companies from fleeting apps 26:26 Privacy concerns and opportunities in AI development 28:42 The future of employment and AI's role in work organization 29:47 Reflections on the venture capital industry's understanding of AI 32:28 The impact of AI on employment and education 33:09 Optimism about AI and brain science advancements 33:55 Key message: Prioritizing human return over financial gain 36:30 Closing remarks and contact information keywords AI, brain health, human performance, venture capital, human-centered AI, neuroscience, healthcare, social emotional learning, AI regulation, impact investing, Steve Carnevale, Blue Ash Ventures, AI venture capital, artificial intelligence, venture capital, AI investment, human centered AI, human-centered AI, AI and healthcare, healthcare innovation, brain health, brain capital, neuroscience, AI and neuroscience, impact investing, future of venture capital, AI funding, AI investment bubble, AI and society, AI and jobs, future of work, #AIInterConnect, #SteveCarnevale, #BlueAshVentures, #Podcast, #AIPodcast, #ArtificialIntelligence, #AI, #VentureCapital, #VentureCapitalist, #AIInvestment, #AIFunding, #FutureOfAI, #HumanCenteredAI, #ResponsibleAI, #EthicalAI, #AIInnovation, #ImpactInvesting, #BrainHealth, #BrainCapital, #Neuroscience, #AIandHealthcare, #HealthcareInnovation, #MentalHealth, #MentalHealthTechnology, #HumanPotential, #FutureOfWork, #AIandJobs, #WorkforceTransformation, Steve Carnevale, Founding Partner at Blue Ash Ventures, joins AI InterConnect to challenge one of the biggest assumptions behind today's AI investment boom: what happens when AI starts "sucking the wind out of everything"? Steve explores how venture capital's pursuit of AI returns could divert funding from healthcare and other critical innovation, while explaining why the future needs human-centered AI designed around human outcomes. Drawing on his work across venture capital, neuroscience, brain health, education and workforce development, he discusses AI's impact on jobs, skills, privacy and human potential. We also explore why founders must remain "maniacally focused on the customer," why narrow AI point solutions may struggle, and why Steve believes human return on capital matters more than financial return alone. Subscribe to AI InterConnect for conversations with founders, investors and leaders building the future.

    AI Is Sucking the Wind Out of Everything: What Happens to Innovation?

  3. 5d ago

    AI vs Automation: How to Choose the Right Technology for Your Business

    In this episode, Aanal Shah, founder and CEO of Zillion InfoTech, shares insights on building a tech company focused on business-first solutions, the role of AI in software development, and strategies for scaling and maintaining client relationships. key topics Business-first approach to software development The importance of understanding business problems before building solutions Integrating AI effectively without unnecessary costs Scaling challenges and architecture decisions in tech companies Building long-term client relationships and strategic growth takeaways Start with understanding the actual business problem before proposing a solution. Add AI only when it provides clear benefits in terms of cost, time, or effort. Focus on architecture from day one to enable scalable growth. Balance new feature development with solving existing issues. Build long-term relationships with clients as strategic partners. sound bites "Start with the actual business problem first" "Add automation, not necessarily AI" "Add AI only when beneficial for the business" Chapters 00:00 Introduction to AI Interconnect and guest introduction 00:27 Guest background and the origin story of Zillion InfoTech 01:45 Transition from technical expertise to business problem solving 04:22 The importance of understanding business before building software 05:11 Approach to AI integration based on actual business needs 07:00 Case study: Claim Cow SaaS application and AI use cases 09:22 Types of businesses that benefit most from Zillion's services 10:39 Challenges in scaling and architecture decisions 13:42 Balancing new features with solving existing issues 14:45 The realities of running a tech company and ongoing responsibilities 19:36 Future goals and strategic focus for Zillion 22:09 Prioritized markets and industry focus 23:15 What to do with unlimited resources 24:23 Advice for businesses starting with AI 26:29 Questions to ask a technology partner keywords AI, software development, business solutions, startup, scaling, client relationships, AI integration, tech strategy, AI adoption, AI implementation, AI vs automation, AI for business, business automation, artificial intelligence for business, custom software development, AI software development, software architecture, scalable software architecture, enterprise AI, AI strategy, digital transformation, business process automation, AI business value, AI ROI, technology partner, #AIInterConnect, #AIInterConnectPodcast, #AanalShah, #ZillionInfotech, #Podcast #ArtificialIntelligence, #AI, #AIAdoption, #AIImplementation, #AIvsAutomation, #Automation, #BusinessAutomation, #EnterpriseAI, #AIForBusiness, #AIStrategy, #AIBusinessValue, #AIROI, #CustomSoftware, #SoftwareDevelopment, #SoftwareArchitecture, #SaaS, #SaaSDevelopment, #DigitalTransformation, #BusinessTechnology, #ScalableSoftware, #StartupTechnology, #BusinessGrowth, #TechFounder, #FounderJourney, #Entrepreneurship, #FinTech, #AIinHealthcare, #HealthTech, #AIinEcommerce, #EcommerceTechnology, Aanal Shah, Founder & CEO of Zillion Infotech, joins AI InterConnect to explore a critical business question: when should companies use AI, and when is automation or traditional software actually the better solution? Aanal explains why businesses should understand the problem before choosing the technology, how to measure whether AI creates real value, and why scalable software architecture remains essential even as AI makes development faster. He also shares lessons from building Zillion Infotech and explains the difference between simply providing software and becoming a long-term technology partner. The conversation covers AI adoption, AI vs automation, custom software development, scalable architecture, AI ROI, Healthcare, FinTech, E-commerce, and practical technology strategy. Subscribe to AI InterConnect for conversations with founders and technology leaders building practical AI and business solutions.

    AI vs Automation: How to Choose the Right Technology for Your Business

  4. 5d ago

    Why Banks Are Using AI to Generate Revenue, Not Just Cut Costs

    In this episode, Dvir Ginzburg, CEO of Encore, shares insights on how AI is transforming customer interactions in financial services, emphasizing revenue generation over traditional metrics like deflection rates. Discover how generative AI can create personalized, revenue-driving customer journeys and the future of conversational banking. key topics AI's role in financial services Revenue generation vs. deflection rate Complex customer interactions in banking Regulatory impact on AI adoption Future of conversational banking takeaways Measuring AI success by revenue, not deflection rate Personalized AI agents can mimic personal bankers Regulations like EU AI Act help move the industry forward Customer trust in AI is increasing, especially among younger users Building the right team is crucial for AI startup success Titles Revolutionizing Banking with Revenue-Driven AI How Encore Uses AI to Transform Customer Journeys sound bites "Measuring AI by revenue, not deflection" "Good conversations are high revenue, not just deflection" "The shift to a fully conversational experience" Chapters 00:00 Introduction to Dvir Ginzburg and Encore 2166:36:21 Dvir's background in conversational AI at Microsoft and Facebook 5527:43:06 The importance of complex interactions in banking 7749:56:35 Why traditional customer interactions in banking are outdated 13194:23:29 Measuring AI success by revenue, not deflection rate 19333:17:07 The shift to a fully conversational banking experience 349444:24:43 Regulatory changes and their impact on AI in finance 365277:44:48 The future of holistic, conversational financial services 391388:51:38 Customer expectations as AI becomes more common 433333:18:37 Success metrics and scaling at Encore 496111:05:52 Resources needed to accelerate AI adoption 555277:46:35 Lessons learned from entrepreneurship and building teams 571111:06:40 Personal insights from Dvir about leadership and failure keywords AI, financial services, customer experience, revenue generation, conversational AI, fintech, generative AI, digital banking, AI regulation, Dvir Ginzburg, Encore AI, AI InterConnect, AI in banking, AI in fintech, AI for financial services, enterprise AI, conversational AI, AI agents, AI agents for banking, generative AI, revenue generating AI, revenue per interaction, conversational banking, digital banking, banking automation, financial services AI, customer experience AI, AI customer service, AI sales automation, banking innovation, fintech innovation, enterprise AI adoption, #AIInterConnect, #DvirGinzburg, #EncoreAI, #Podcast, #AIPodcast, #FinTech, #FinTechAI, #EnterpriseAI, #ConversationalAI, #GenerativeAI, #GenAI, #AIAgents, #AIAgentsForBusiness, #AIinBanking, #BankingAI, #AIinFinTech, #FinancialServicesAI, #AIforFinancialServices, #ConversationalBanking, #DigitalBanking, #FutureOfBanking, #BankingInnovation, #FinTechInnovation, Dvir Ginzburg, Founder and CEO of Encore AI, joins AI InterConnect to explain why financial institutions should stop thinking about AI only as a cost-reduction tool and start measuring how AI generates revenue. Dvir shares how conversational AI and digital agents can guide customers through complex financial journeys, improve conversion, and create experiences closer to working with a personal banker. He explains why traditional metrics such as call deflection can hide poor customer experiences and why revenue per interaction offers a very different way to measure AI performance. We also explore AI adoption inside regulated financial institutions, build versus buy decisions, conversational banking, changing customer expectations, and Dvir's vision for a future where one AI-powered conversation could become the primary interface between customers and their bank. Subscribe to AI InterConnect for conversations with founders and leaders building the future of AI and business.

    Why Banks Are Using AI to Generate Revenue, Not Just Cut Costs

  5. 6d ago

    AI Agents for Business: Why Vertical AI Could Replace Traditional SaaS

    Tahir Rauf, co-founder of Keeyu, shares insights into building AI agents for e-commerce, focusing on proactive problem resolution, trust, and scaling internationally. key topics The personal journey of Tahir Rauf and how it influenced Keeyu´s mission The problem Keeyu solves in e-commerce: fragmented systems and customer dissatisfaction The concept of proactive customer care and its benefits The four principles for building reliable AI agents: context, boundaries, escalation, accountability Challenges and strategies for scaling AI solutions internationally The importance of data governance and sovereignty in enterprise AI The shift from traditional SaaS to AI-driven platforms The future of agentic AI in various industries and workflows Lessons learned from building and scaling Keeyu Chapters 00:00 Introduction to Tahir Rauf and Keeyu 03:23 Understanding Keeyu´s E-commerce Problem 04:07 How Keeyu's AI Agent Addresses Fragmented Systems 06:00 When Do Retailers Need Keeyu? 06:46 Proactive vs Reactive Customer Care 08:37 Building Trust in AI Agents 09:06 Four Principles of Reliable AI Systems 12:04 The Human Role in AI-Driven E-commerce 13:54 Scaling from Small Retailers to Enterprises 16:36 Challenges of International Expansion 18:07 The Most Underappreciated AI Use Cases 19:24 Governance and Data Sovereignty in AI 21:44 The Future of SaaS and AI Integration 22:22 Goals for Keeyu in the Next 12-18 Months 24:27 Expanding into Enterprise Markets 25:53 The Impact of AI on Tech Resources 26:27 Focusing on Impactful Features 27:59 Advice for Funders and Operators 29:24 Lessons Learned from Building Keeyu 31:19 Closing Remarks and Contact Info keywords AI agents, e-commerce, proactive customer care, data integrity, enterprise AI, scaling AI, AI governance, agentic systems, AI infrastructure, startup growth, AI agents for business, vertical AI agents, agentic AI, enterprise AI, AI automation, ecommerce AI, ecommerce automation, proactive ecommerce operations, future of SaaS, AI replacing SaaS, enterprise AI agents, AI agents ecommerce, human in the loop AI, autonomous AI agents, AI agent governance, enterprise AI governance, AI implementation, AI adoption, AI workflow automation, ecommerce operations, post purchase automation, customer experience automation, proactive customer care, AI agents vs SaaS, vertical AI, Tahir Rauf, Keeyu, ecommerce technology, AI InterConnect, future of enterprise software #AIInterConnect, #AIInterConnectPodcast, #Podcast, #TahirRauf, #Keeyu, #AgenticAI, #AIAgents, #AIAgentsForBusiness, #VerticalAI, #EnterpriseAI, #EcommerceAI, #AIinEcommerce, #EcommerceAutomation, #EcommerceTechnology, #EcommerceOperations, #ProactiveEcommerce, #ProactiveCustomerCare, #PostPurchase, #PostPurchaseExperience, #CustomerExperience, #CustomerExperienceAI, #AIAutomation, #WorkflowAutomation, #AutonomousAI, #HumanInTheLoop, #AIGovernance, #EnterpriseAIGovernance, #AIAdoption, #AIImplementation, #SaaS, #FutureOfSaaS, #EnterpriseSoftware, #FutureOfSoftware, #AIForBusiness, #BusinessAutomation, #RetailTechnology, #RetailAI, Tahir Rauf, Co-Founder and CTO of Keeyu, joins AI InterConnect to explore why vertical AI agents could reshape e-commerce operations and challenge traditional SaaS. Tahir explains how Keeyu uses agentic AI to detect and resolve post-purchase problems before customers complain, and why trustworthy enterprise AI requires four foundations: context, boundaries, human escalation, and accountability. He also shares how companies can progressively move from human-in-the-loop workflows toward greater AI autonomy while protecting sensitive customer data. The conversation explores enterprise AI governance, proactive e-commerce operations, the future of SaaS, AI-powered software development, and why founders should focus on real customer problems before building more features. Subscribe to AI InterConnect for conversations with founders and technology leaders building practical AI systems for real businesses.

    AI Agents for Business: Why Vertical AI Could Replace Traditional SaaS

  6. Oct 18

    AI Underwriting: Faster Lending Without Replacing Human Judgment

    In this episode, Laurent Cochet interviews Shivi Sharma, co-founder and president of Kaaj.ai an AI-powered underwriting platform, about how AI is transforming financial services, especially in credit risk analysis and underwriting. They explore the practical applications, challenges, and future potential of AI in high-stakes financial decision-making. key topics AI's role in credit underwriting How Kaaj simplifies loan processing Balancing AI automation with human judgment Building trust and transparency in AI models Scaling AI solutions in financial institutions Challenges in AI adoption for high-stakes decisions Market education and customer trust in AI products Future opportunities in small business lending sound bites "AI should help organize workflows, not replace judgment" "Garbage in, garbage out in AI models" "AI gives leverage, not job replacement" Chapters 00:00 Introduction to AI Interconnect and Guest 00:29 Guest background and journey into AI 01:29 Shivi's experience in credit and fraud risk 02:14 Understanding the problem Kaaj solves in lending 03:16 How Kaj simplifies the loan application process 04:40 The human role in underwriting with Kaaj 06:47 Where AI can automate and where human judgment is essential 08:14 Building trust and evidence-backed AI analysis 10:40 Scaling challenges and market education 12:09 The importance of trust and customer relationships 15:40 Market misconceptions about AI in finance 16:00 The importance of data quality and infrastructure 17:07 AI's role in improving economics of small loans 20:22 Next steps and deeper customer engagement 22:33 Expanding into other lending segments 23:45 Key constraints and hiring challenges 26:41 High-stakes AI and the need for caution 27:50 Lessons learned and underestimations 28:24 Advice to younger self and startup founders 29:45 Closing remarks and contact information keywords AI in finance, underwriting, credit risk, financial technology, AI adoption, risk analysis, fintech innovation, AI trust, small business loans, AI scaling, AI underwriting, underwriting automation, AI in financial services, AI in fintech, SMB lending, small business lending, equipment finance, credit risk, credit risk automation, automated underwriting, human judgment in AI, AI lending, commercial lending, lending operations, financial services AI, AI credit analysis, credit underwriting, underwriting technology, lending technology, AI adoption , Shivi Sharma, Kaaj.ai, #AIInterConnect, #AIInterConnectPodcast, #Podcast, #ShiviSharma, #Kaaj, #KaajAI, #FinTech, #FinTechPodcast, #AIUnderwriting, #Underwriting, #UnderwritingAutomation, #AutomatedUnderwriting, #AIinFinTech, #AIinFinancialServices, #FinancialServicesAI, #SMBLending, #SmallBusinessLending, #EquipmentFinance, #CommercialLending, #CreditRisk, #CreditRiskManagement, #CreditAnalysis, #CreditUnderwriting, #LendingAutomation, #LendingTechnology, #FinTechInnovation, #ArtificialIntelligence, #EnterpriseAI, #AIAdoption, #HumanCenteredAI, #ResponsibleAI, #ExplainableAI, #FutureOfLending, #FutureOfUnderwriting, #DigitalLending, #LoanAutomation, #LendingOperations, #SmallBusinessFinance, #AIForBusiness, #FinancialTechnology, Shivi Sharma, Co-Founder & President of Kaaj.ai, joins AI InterConnect to explore how AI underwriting can make SMB lending faster and more efficient without removing human judgment from credit decisions. Shivi explains how Kaaj uses AI to analyze borrower documents, identify inconsistencies, organize evidence and prepare information for underwriters. She discusses why trust and explainability matter in financial services AI, why buyers care about business outcomes rather than AI itself, and how automation can help lenders scale without proportional headcount growth. She also explores how better underwriting economics could make smaller commercial loans more attractive to lenders. Subscribe to AI InterConnect for conversations with founders and operators building practical AI businesses.

    AI Underwriting: Faster Lending Without Replacing Human Judgment

  7. Oct 15

    Why AI Transformation Fails When Companies Put Technology First

    Omar Palaming shares his journey through technology, emphasizing the importance of understanding people and purpose behind digital transformation. The discussion covers how organizations can leverage technology to improve identity, governance, and inclusion, especially in the context of AI and digital transformation in the Philippines. key topics The importance of understanding the purpose behind technology How digital space is another world for organizations The role of AI in future business solutions Challenges of scaling digital transformation in the Philippines The significance of governance and affordability in technology takeaways Technology is deeply connected to human purpose and identity. Digital space is an extension of the real world, not just technology. Custom applications will be central to future business solutions. Governance in digital transformation should focus on affordability and accessibility. Building digital skills and understanding is crucial for national development. sound bites "Custom applications will be the future." "Technology should be taught, not overly regulated." "Solve problems with simple questions and actions." Chapters 00:00 Introduction to Omar Palaming and Phil IT 01:32 Omar's journey from electronics to digital transformation 03:07 Teaching technology to the masses with analogies 04:22 The breadth of problems Phil IT addresses 05:03 Organizational identity in the digital age 06:38 Digital space as another world for organizations 08:20 The importance of customization and AI in future solutions 10:00 Challenges of scaling digital transformation in the Philippines 14:41 AI adoption and security concerns 17:31 Future goals for Phil IT and digital inclusion 21:20 What makes building Phil IT worthwhile 22:34 Advice for leaders on leveraging technology effectively keywords Digital Transformation, AI, Cybersecurity, Custom Software, Business Automation, Philippines, Technology Leadership, Digital Inclusion, AI transformation, digital transformation, AI adoption, enterprise AI, AI implementation, business automation, custom software, digital transformation strategy, technology governance, AI governance, human centered AI, AI and human identity, future of AI, business technology, technology leadership, digital transformation Philippines, artificial intelligence Philippines, financial inclusion technology, digital financial inclusion, open source technology, custom application development, PhilIT, PhilIT System Design Solutions, Omar Palaming, AI InterConnect, #AIInterConnect, #OmarPalaming, #PhilIT, #PhilITSystemDesignSolutions, #Podcast, #AIPodcast, #TechnologyPodcast, #ArtificialIntelligence, #AI, #EnterpriseAI, #AIAdoption, #AIImplementation, #DigitalTransformation, #DigitalTransformationStrategy, #BusinessAutomation, #CustomSoftware, #SoftwareDevelopment, #AIGovernance, #TechnologyGovernance, #HumanCenteredAI, #ResponsibleAI, #AIandHumanity, #FutureOfAI, #FutureOfTechnology, #BusinessTechnology, #TechnologyLeadership, #DigitalLeadership, #OpenSource, #OpenSourceTechnology, #FinancialInclusion, #DigitalFinancialInclusion, #FinTech, #TechnologyForGood, #AIForBusiness, #EnterpriseTechnology, #BusinessInnovation, #DigitalInnovation, Omar explains why organizations need to understand their identity, people, processes, and real business problems before investing in AI, automation, or custom software. Drawing on his background as a teacher, technologist, and CEO, he discusses AI adoption, technology governance, open-source technology, cybersecurity, digital financial inclusion, and why custom applications could play a larger role in the future. The conversation also explores a deeper question: as AI becomes capable of making more decisions, which decisions should humans never delegate? For Omar, technology should ultimately help people become more human. Subscribe to AI InterConnect for conversations with founders, CEOs, and technology leaders building the future.

    Why AI Transformation Fails When Companies Put Technology First

  8. Oct 13

    AI Employees for Small Business: Cut Costs, Automate Work & Scale

    In this episode, Brandon Blackman, CEO of BeBuilt.ai, shares insights on how small businesses can leverage AI as a workforce, the importance of owner control over AI infrastructure, and the future of AI-driven operational efficiency. key topics AI as a workforce for small businesses Owner control of AI infrastructure Building scalable AI systems The role of AI agents in operations The factory process for AI deployment Challenges in scaling AI solutions Business impact of AI automation Partnerships and go-to-market strategies for AI services takeaways AI can be deployed as a low-cost, high-impact employee for small businesses. Owner control of AI infrastructure ensures security and customization. The factory process enables rapid deployment and scaling of AI agents. Focusing on outcomes like increased revenue and reduced costs drives AI adoption. Partnerships with service agencies can accelerate AI deployment in various industries. Chapters 00:00 Introduction to Brandon Blackman and the AI Interconnect podcast 01:07 Brandon's background in product management and tech 02:11 How Brandon transitioned into AI and built BeBuilt 04:24 Using AI to empower Main Street USA businesses 05:52 Defining AI employees and their value for small businesses 07:17 Target customers for AI employees and ROI focus 09:06 Low-cost AI agents and ownership model 10:30 Common areas where owners waste time and money 13:17 Importance of owner control over AI infrastructure 16:39 Scaling challenges and the platform approach 21:19 Building the factory process for AI deployment 27:59 Future plans and success metrics for BeBuilt 33:17 Resources, contact info, and closing remarks keywords AI, small business, automation, AI employees, generative AI, business automation, AI infrastructure, AI scaling, AI in operations, AI employees, AI employees for small business, AI agents, AI agents for business, small business AI, AI automation, business automation, AI implementation, AI for small business, AI workforce, AI employee automation, AI business automation, automate repetitive tasks, AI accounts payable, AI finance automation, AI agent ownership, #AIInterConnect, #BrandonBlackman, #BeBuiltAI, #Podcast, #AIPodcast, #AIEmployees, #AIAgents, #AIAgentsForBusiness, #AIAutomation, #BusinessAutomation, #AIImplementation, #SmallBusinessAI, #AIForBusiness, #AIForSmallBusiness, #AIWorkforce, #FutureOfWork, #ArtificialIntelligence, #GenerativeAI, #AgenticAI, #AIAgentAutomation, #WorkflowAutomation, #BusinessProcessAutomation, #FinanceAutomation, #AccountsPayable, #AIFinance, #ServiceBusiness, #SmallBusiness, #BusinessGrowth, #BusinessEfficiency, #CostReduction, #Productivity, #DigitalTransformation, #AIAdoption, #AutomationStrategy, #CustomAIAgents, #HumanAI, #Entrepreneurship, #Founder, #BusinessTechnology, #FutureOfBusiness, Brandon Blackman, Founder & CEO of BeBuilt.ai, joins AI InterConnect to explain how AI employees can help small and mid-sized service businesses automate repetitive work, reduce costs, improve customer experience, and scale operations. Brandon breaks down what an AI employee actually is, why businesses should focus on measurable outcomes rather than simply "doing AI," and where AI agents are already producing practical value. He shares examples from accounts payable, finance, insurance, construction, HVAC, and other service businesses, including how AI employees can work around the clock at a fraction of traditional labor costs. We also explore AI agent ownership, human oversight, the future of work, and BeBuilt's vision for managing hundreds or thousands of specialized AI employees. Subscribe to AI InterConnect for conversations with founders and CEOs building the future with AI.

    AI Employees for Small Business: Cut Costs, Automate Work & Scale
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About

Invite Leaders in Businesses from Proptech to B2B and Technology to AI AI Interconnect Podcast is where the next generation of business builders, Proptech pioneers, and AI-native entrepreneurs come to share raw insights, real struggles, and breakthrough ideas. Hosted by Laurent, a Proptech operator turned AI agency founder, this show isn’t another hype machine — it’s a deep-dive into what’s actually working in the trenches of real estate tech, logistics, automation, and AI adoption.

Information

  • Creator
    Laurent Cochet
  • Years Active
    2025 - 2026
  • Episodes
    279
  • Rating
    Explicit
  • Copyright
    © Laurent Cochet
  • Show Website
    AI InterConnect Podcast