Applied Intelligence

About Applied Intelligence

The go-to show for business leaders navigating AI adoption in the real world. Host Keith Richman talks with operators, founders, and business leaders who are actually deploying AI—exploring what works, what doesn't, and how to bridge the gap between AI's capability and practical implementation. Smart, grounded, actionable.

Publisher

Keith Richman

Category

business

Language

en

Explicit

No

First episode

26 Jan 2026

Latest episode

19 Oct 2026

Latest episodes

18 episodes in the feed.

1. 

   19 Oct 2026

   The Hardest AI Problem for Every Business | a16z's Josh Elman

   Keith Richman sits down with Josh Elman, partner on a16z's consumer team and a product veteran of LinkedIn, Twitter and Apple, to make sense of a world where agents search, shop and negotiate for us. Josh explains who wins when an AI concierge does the shopping, why more of every purchase could flow to makers instead of ad platforms and aggregators, and how buying a keychain through ChatGPT showed him the value chain breaking in real time. They dig into which moats survive (social proof, trust, networks of people), why today's AI is still "single player," and what "infinite engineering" means for product teams when taste, not the schedule, decides what ships. Josh also shares why ordinary creators beat category gurus for marketing, which marketplaces hold up against agents, and his core advice for businesses: go deep on AI, but don't install deep roots. Timestamps: Chapters 00:00:00 Introduction: The Hardest Problem Businesses Face with AI 00:00:30 The Confusion of the AI Future: Agents, Modes, and Uncertainty 00:01:09 The Promise of Natural Software: Tell It What You Need 00:02:52 The Sweater Search: Who Wins in the Agent Economy? 00:04:19 From Bits to Atoms: The Future of Custom Manufacturing 00:06:21 Building the Agent Marketplace: Investment and Product Strategy 00:08:54 The Town Experience: Context, Trust, and the Creepy Line 00:10:47 Control vs Autonomy: The Human Decision-Making Sweet Spot 00:14:15 Pricing and Value in an Agent-Mediated World 00:15:42 The Keychain Story: ChatGPT as Personal Shopping Assistant 00:17:00 Rethinking Moats: When More Humans Makes It Better 00:17:13 Network Effects in the Agent Era: Social Proof Still Matters 00:18:50 Agent-to-Agent Communication: The Social Network of AI 00:21:03 The Jelly Lesson: When Good Ideas Meet Their AI Moment 00:22:38 The Non-Engineer Revolution: Building Without Code 00:24:41 The Feature Creep Problem: Infinite Engineering Meets Product Taste 00:26:54 The Apple Approach: Packaging Features as Named Experiences 00:28:50 Creator-Led Marketing: The New Moat for Niche Products 00:30:43 Beyond the Guru: Finding the Right Creator Partners 00:33:01 Virality Reimagined: Memes, Word of Mouth, and Network Growth 00:33:51 Marketplace Dynamics: Trust, Value, and Disintermediation Risk 00:35:41 The Disaggregation Question: More Micro Marketplaces Ahead 00:39:00 Go Deep Without Deep Roots: The Business Adaptation Strategy 00:39:57 The Flexibility Imperative: Adapting Workers for Continuous Change 00:41:34 The Two-Year Warning: Why You Cannot Wait 00:41:59 The Value of Past Learning: From Master Prompting to Understanding 00:43:54 Personal Tech Stack: Town, Muse, Gemini, and the New Siri #AI #JoshElman #a16z #ConsumerAI #AIAgents #AgenticCommerce #Ecommerce #ProductManagement #CreatorEconomy #AppliedIntelligence

2. 

   31 Aug 2026

   Tinder's CEO Shares His AI Operating Tactics | Spencer Rascoff Full Interview

   Keith Richman talks with Match Group CEO Spencer Rascoff about real-world AI adoption 18 months into the role. They cover flooding teams with Claude, Cursor and other tools, an all-hands AI day that unlocked productivity, a Velocity pod for engineering speed, token limits and a Brand AI Council for costs. Spencer explains why AI ships new features like Tinder Events and Missed Connections in weeks but struggles with legacy code, plus AI-powered marketing, internal personas, improved matching algorithms, and careful product guardrails that respect Gen Z skepticism. He also shares marketplace risks, no-layoff philosophy, and practical advice for leaders: lead by example, run hack days, and share knowledge. Timestamps: Chapters 00:00:00 Introduction: Taking the CEO Job in the AI Era 00:01:50 The AI Adoption Journey: From Chaos to Control 00:02:33 The AI Day That Changed Everything 00:03:01 Building AI Tools for Personal Productivity 00:04:10 Organizational Structure: Who Owns AI? 00:06:04 The Tech Debt Dilemma: Wait or Act Now? 00:10:16 Shipping at Lightning Speed: The Missed Connections Story 00:11:29 The Tech Stack: Claude Wins, OpenAI Fades 00:14:37 Forward Deployed Engineers: Embedding AI Across Functions 00:15:51 AI-Powered Marketing: The $600M Transformation 00:17:00 Token Limits and Budget Controls: The Approval Workflow 00:20:07 Recursive Marketing: When AI Learns From Itself 00:21:08 No AI Layoffs: The Productivity Philosophy 00:21:29 AI Personas: Abby and Jasmine Come to Life 00:25:03 The Gen Z AI Paradox: Using It While Hating It 00:26:31 AI Ethics in Dating: Where to Draw the Line 00:29:07 Profile Reviews and Blind Spots: AI as Your Dating Coach 00:30:49 Q Unification: The Recommendation Algorithm Breakthrough 00:33:20 Real-Time Recommendations: Closing the Gap 00:34:20 Marketplace Disintermediation: Who Survives AI? 00:36:05 Go-to-Market Is Everything: The New Competitive Moat 00:37:36 The CEO Playbook: Humility Over Expertise #AI #MatchGroup #Tinder #DatingApps #TechLeadership #CEO #Innovation #Productivity #Business #ArtificialIntelligence

3. 

   21 Aug 2026

   Influencer expert explains how AI is changing the creator economy

   In this episode of Applied Intelligence, host Keith Richman sits down with Eric Dahan, founder of Mighty Joy and Superdeal, to explore the collision of AI and the creator economy. As influencer marketing shifts from broad reach to niche trust, micro-influencers are becoming highly valuable. Eric breaks down how he is using AI agents to eliminate the massive friction of sourcing, outreach, and contract negotiations that previously made scaling micro-influencers impossible. They also explore the wild frontier of AI-generated creators, and the legal complexities of content modification rights. Whether you're a brand or a creator, this episode offers actionable insights into leveraging AI to cut through the noise. Timestamps: #AI #ArtificialIntelligence #InfluencerMarketing #Creators #Marketing #Business #Tech #CreatorEconomy #SocialMedia #Agents

4. 

   31 Jul 2026

   Why "Mr. Paranoid" Is Right About AI Security

   In this episode of Applied Intelligence, Keith Richman sits down with Polygraf CEO Yagub Rahimov to uncover the hidden cybersecurity risks of everyday AI adoption. Dubbed "Mr. Paranoid," Rahimov explains how seemingly harmless tools—like AI meeting note-takers, QR codes, or even emojis—can be weaponized to expose contextual intelligence, hijack AI agents, and bypass traditional privacy regulations like HIPAA and GDPR. The conversation explores real-world cautionary tales, from $17,000 accidental Gemini API bills to job candidates using undetectable AI teleprompters to cheat in interviews. Rahimov outlines a practical framework for mitigating these risks, advocating for robust, edge-based access controls and in-line behavioral guardrails that secure data without disrupting workflow or AI performance. Timestamps: Chapters 00:00:00 Introduction: The AI Interview Cheating Epidemic 00:00:35 Mr. Paranoid: Why Optimism Requires Seeing the Negative 00:01:59 The Hidden Dangers of QR Codes and Emojis 00:02:55 Contextual Intelligence: The Mosaic That Exposes Everything 00:04:39 Paying AI Twice: Your Data and Your Money 00:05:37 Building Your AI Stack: The Six Critical Variables 00:08:05 The Claude Code Problem: Are You Exposing Yourself? 00:09:19 AI Behavioral Control: Allow, Deny, Fix, Proceed 00:13:23 The Google Gemini API Disaster: A $17,000 Lesson 00:14:57 Meeting Note Takers: Your Data Goes to 7 Different Providers 00:17:01 Deepfakes and Voice Cloning: The 3-5 Second Problem 00:18:21 Meeting Guard: Detecting AI Cheating in Real-Time 00:20:30 The Recruitment Horror Story: 1,200 Candidates, 3 AI Imposters 00:21:33 The CEO Mandate Paradox: Push AI While Managing Existential Risks 00:22:23 The Grammarly Approach: Contextual Privacy for Every User 00:23:44 If You Don't Own Your Data, Someone Else Owns You 00:25:03 The Future Is in Our Control #ArtificialIntelligence #Cybersecurity #MachineLearning #DataPrivacy #TechPodcast #DataSecurity #Deepfakes #AITrends #BusinessTech #tech

5. 

   21 Jul 2026

   AI Expert Warns of the AI Hacking Epidemic

   In this episode of Applied Intelligence, host Keith Richman sits down with cybersecurity expert David Campbell. They dive deep into the real-world dangers of artificial intelligence, exploring everything from prompt injections to malicious autonomous agents and the growing threat of "shadow AI" in corporate networks. David breaks down how businesses can safely deploy AI by maintaining visibility and implementing classic cybersecurity frameworks, explaining why rushing into AI adoption can lead to massive vulnerabilities. They also discuss AI red teaming, the changing landscape of digital threats, and practical tips for securing your personal and business data. Whether you're a Fortune 100 executive or a small business leader, this episode offers grounded, actionable advice to prevent a dark AI future while safely unlocking its potential. Timestamps: Chapters 00:00:00 Introduction: The AI Hacking Epidemic 00:00:29 The Robotics Capital Challenge and Real-World Model Training 00:01:45 How Screwed Are We? The Doomer Perspective on AI Security 00:03:20 AI Alignment: The Helpful vs Harmless Paradox 00:04:30 Cybersecurity Education: Why Offense Makes Better Defense 00:06:31 What Is AI Red Teaming and Why It Matters 00:09:14 The BIC Framework: Behavior, Identity, and Controls 00:10:18 Shadow AI: The Visibility Crisis in Enterprise 00:12:13 Securing Agentic Systems: The OpenClaw Example 00:14:12 The Speed vs Security Tradeoff 00:17:40 Model Selection and Universal Jailbreaks 00:20:21 Open Source Models and the Pickling Threat 00:21:36 Insider Threats: From Token Drain to Data Exfiltration 00:24:02 The Scale of Modern AI Attacks 00:26:23 Practical Security for Small to Medium Businesses 00:28:43 The Scale AI Experience: Building AI Security from Scratch 00:31:30 Government Preparedness and Policy Education 00:33:31 Choosing Vendors and Avoiding the All-in-One Trap 00:35:00 Personal Tech Stack: How an AI Security Expert Protects Himself #ArtificialIntelligence #CyberSecurity #MachineLearning #BusinessStrategy #Podcast #TechNews #RedTeaming #Technology #DataSecurity #TechTrends

6. 

   8 Jul 2026

   The Invisible AI Failures Costing Your Business

   In this episode of Applied Intelligence, host Keith Richman sits down with Moritz Sudhof, Co-founder and CEO of Bigspin AI, to uncover the hidden realities of enterprise AI adoption. Moritz introduces the concept of "invisible failures"—when AI errors go completely undetected by users and dashboards—and explains the rising phenomenon of "tokenflation," where AI tokens yield less raw work output over time. They explore why user behavior dictates AI success far more than raw model capability, how to measure true AI ROI beyond basic metrics, and the upcoming challenge of verifying output in a future dominated by AI agents talking to other AI agents. If you want to understand how to effectively manage, measure, and deploy AI in your business without flying blind, this conversation is a must-watch. Chapters 00:00:00 Introduction: The Research Experiment That Went Rogue 00:00:50 What Are Invisible Failures and Why 79% Go Undetected 00:02:04 The User Experience Paradox: Sometimes Brilliant, Sometimes Terrible 00:04:08 The 3% Power Users: Augmentation vs Delegation 00:07:00 The Impossible Question: Defining Good in AI Coaching 00:14:56 Tokenflation: When Your AI Budget Buys Less Over Time 00:19:49 Beyond Productivity: Measuring Compounding Value and New Capabilities 00:23:04 The Slot Machine Problem: Why Passive Users Fail 00:25:57 The Token Maxing Trap: Why Spending Millions Doesn't Guarantee Results 00:27:11 Who Should Lead AI Transformation: Not Your Tiger Team 00:30:21 The Observability Challenge: Mining Session Transcripts for Truth 00:33:33 Designing Interactions, Not Just Capabilities 00:35:02 The Hidden Data Asset: Learning from Every Session 00:36:48 The Agent-to-Agent Future: Who Watches the Watchers 00:37:38 The Verification Bottleneck: Why Creation Outpaces Review 00:42:59 The Scientific Integrity Incident: A Cautionary Tale 00:44:29 Flying Blind: The Cost of No Visibility 00:45:33 The Future Stack: LLMs Watching LLMs 00:47:18 The Attention Economy: Directing Human Judgment Where It Matters #AI #ArtificialIntelligence #EnterpriseAI #FutureOfWork #TechTrends #MachineLearning #BusinessTech #Innovation #TechLeadership #SoftwareEngineering

7. 

   16 Jun 2026

   The Hidden Threat of Shipping AI Code Faster

   As AI tools like Claude and Codex democratize software development, writing code has never been easier—but deploying reliable code has never been harder. In this episode of Applied Intelligence, host Keith Richman sits down with Pramin Pradeep, founder of Botgage, to explore the hidden dangers of AI-generated "shadow code" and why traditional QA frameworks are breaking under the pressure of hourly release cycles. Pramin breaks down the shift from manual testing to agentic, end-to-end behavioral testing, sharing practical frameworks for budgeting and managing QA in a fast-paced environment. They also discuss his personal AI tech stack, the future of single-screen software interactions, and how businesses can maintain release confidence without breaking the bank. Smart, grounded, and actionable advice for any team building with AI. Chapters 00:00:00 Introduction: The Shadow Code Problem 00:00:50 The Problem-First Approach to Development 00:01:37 The New Era of Code Creation and Testing 00:03:46 From Unit Testing to End-to-End: The Testing Gap 00:05:42 The Speed Problem: Releasing Every Hour 00:09:07 Budget and Time: The QA Investment Question 00:10:12 Shadow Code: Not Bad Code, Dangerous Code 00:10:58 Why AI Can't Just Fix Everything 00:13:15 The 50K Rule: Budgeting for Robust QA 00:15:11 The Future: Single Screen and Agentic Testing 00:16:55 Multi-Model Strategy and Monitoring #AI #SoftwareDevelopment #Coding #QualityAssurance #TechPodcast #BusinessLeaders #ArtificialIntelligence #SoftwareEngineering #AITesting #SaaS

8. 

   28 May 2026

   The Truth About AI Employees & Agentic Workers

   In this episode of Applied Intelligence, host Keith Richman talks with Joe Mayberry, Head of AI at SailPoint, about navigating the shift from simple conversational models to the "agentic era." Joe explains why we haven't hit the true AI Industrial Revolution yet and how businesses can practically prepare for a future workforce of autonomous AI coworkers. They dive into the critical need for "agent identity," explaining why AI agents require corporate trust scores, strict governance, and limits just like human employees. Whether you're an enterprise leader managing board expectations or a founder trying to scale, Joe breaks down the actionable steps to build an AI-ready organization, unify siloed corporate data, and safely deploy multi-agent systems. Timestamps 0:00 Introduction: The Agentic Epoch and AI Bosses 0:54 The Agentic Era: Non-Corporeal and Physical Agents 2:28 The Industrial Revolution That Hasn't Happened Yet 5:09 The Three-Step Journey: Data, Enablement, and Governance 9:21 The Complexity Challenge: Big Companies vs. Small Companies 10:00 Agentic Identity: Treating AI Like Humans 11:56 The Dynamic Trust Model for Agents 18:27 Learning from Social Media's Mistakes 20:03 Board Expectations vs. Reality: The AI Strategy Gap 33:09 The Four Essential Board Reports for AI Governance 23:38 Trust as the Competitive Advantage 25:41 The Org Chart of the Future: Human-Directed, Agent-Executed 30:10 Moving Fast vs. Moving Slow: The Startup Advantage 35:43 Joe's Tech Stack: Building on Anthropic Claude 37:36 Scaling the Unscalable: The Future of Personal Expertise 40:30 The Next Generation: Experience vs. Agency in an AI World #ArtificialIntelligence #AI #Business #EnterpriseTech #AIAgents #CyberSecurity #Innovation #FutureOfWork #Technology #Leadership

9. 

   20 May 2026

   SEO is Dead: The Rise of Answer Engine Optimization

   In this episode of Applied Intelligence, Keith Richman sits down with Graphite founder Marcos Ciarrocchi to explore the massive shift from traditional SEO to AI-driven Answer Engine Optimization (AEO). Marcos explains how Large Language Models (LLMs) and AI agents are changing the way users search, and what this means for both publishers and brands. Learn actionable strategies to optimize your brand for AI consensus, leverage "information gain" to stand out, and structure your website data so AI models can easily cite your products. Whether you're trying to influence ChatGPT, Claude, or Google's Gemini, Marcos breaks down how to build topical authority, track AI citations, and capture high-converting referral traffic in the new agentic search era. TImestamps 0:00 Intro 0:52 How LLMs Changed the Search Journey 1:59 Retrieval, Grounding, and Fresh Data 3:15 What AI Search Means for Brands vs. Publishers 4:32 Authority, Trust, and Spam in AI Search 5:43 The New Search Engine Fragmentation 7:28 How ChatGPT Uses Search to Ground Answers 9:24 “Agent Optimization” and the Future of SEO 9:46 Where Brands Should Start Right Now 11:27 Is AI Search Replacing Google Search? 12:38 Why Off-Site Footprint Matters More Now 13:13 Reddit, YouTube, and Unexpected AI Citations 14:28 How to Build Pages AI Models Can Actually Use 15:08 What Happens When an AI Searches for You 17:03 Citation Rate as a New Marketing KPI 18:37 Consensus, Repetition, and Model Recommendations 19:19 The Modern SEO Content Playbook 20:16 Chunking, Context Windows, and AI-Friendly Content 21:35 Making Product Claims Easy for Models to Understand 22:50 Podcasts, Experts, and Information Gain 24:19 Why Unique Perspective Beats Generic Content 25:23 Interactive Content, Calculators, and Product POV 26:36 Why Brand Personality Matters More in AI Search 28:12 Can Smaller Brands Win in AI Search? 28:40 Topical Authority and Finding Your Wedge 31:12 The Long-Tail Opportunity in Personalized AI Search 33:09 Measuring the Business Impact of AI Search 34:01 AI Referral Traffic and Dark Attribution 36:26 Tools for Tracking AI Visibility 38:46 The Future SEO Job Title 40:12 Which Models Should Brands Optimize For? 42:30 Building a Google Flights MCP Travel Tool 44:33 What Agentic Search Means for Travel and Commerce #ArtificialIntelligence #SEO #AEO #DigitalMarketing #ChatGPT #LLM #BusinessStrategy #MarketingTips #SearchEngineOptimization #TechTrends

10. 

    12 May 2026

    Processing Trillions of Real-World Data Points with AI

    In this episode of Applied Intelligence, Keith Richman sits down with Praveen Murugesan, VP of Engineering at Samsara, to explore how AI is transforming physical world operations. Praveen reveals how Samsara leverages massive IoT sensor data to solve complex real-world problems—from catching fleet fuel theft to building smart commercial navigation that dynamically reroutes drivers based on dashcam insights. They discuss the game-changing potential of AI-driven "computer use," how to safely implement internal AI coding tools without breaking production, and why AI is finally democratizing data analysis for non-technical operators. If you want a grounded, actionable look at bridging the gap between AI hype and enterprise-scale deployment, this conversation delivers. Chapters 00:00:00 Introduction: AI at Scale with Samsara 00:00:45 Computer Use: The Most Contrarian AI Take 00:04:52 Empowering Engineers: AI Tools and Guardrails 00:07:49 The Wins: Speed, Prototyping, and Quality 00:10:05 Customer Co-Creation: Solving Fuel Theft with AI 00:15:10 From Sensors to Intelligence: The Fuel Theft Solution 00:16:59 LLMs as Judges: Accelerating Data Labeling 00:19:36 Commercial Navigation: Waze for Enterprise 00:23:24 Predictive Operations: The Future of Strategic Planning 00:26:51 Democratizing Expertise: From Specialists to Superhumans 00:29:36 The New Reality: PMs Shipping Code, Designers in Production 00:30:30 The AI Stack: Blessed Models and Cost Management 00:32:42 The Hidden Value: Physical World Data at Scale 00:35:38 What's Overhyped: Security Fears and the Positive Lens #ArtificialIntelligence #AI #MachineLearning #IoT #EnterpriseAI #DataScience #Engineering #TechPodcast #Innovation #SoftwareDevelopment

11. 

    20 Apr 2026

    The AI Testing Framework Every Business Needs (But Few Use)

    Keith Richman sits down with Hamel Husain, machine learning engineer and founder of Parlance Labs, to demystify AI evaluations (evals). Hamel breaks down why generic AI testing metrics fall short and how businesses can actually measure, debug, and improve their AI applications in the real world. They explore the pitfalls of simply slapping a chatbot on an existing product, the importance of iterative error analysis, and why starting simple with the most powerful models beats reaching for immediate complexity. Whether you're an executive fielding AI mandates or a developer building the stack, Hamel shares actionable advice on how to stop building the wrong things faster and start deploying AI that truly moves the needle. Chapters 00:00:00 Introduction: Why AI Testing Matters More Than You Think 00:01:52 What Are AI Evals and Why Every Business Needs Them 00:04:03 The Generic Metrics Trap: Why Off-the-Shelf Testing Fails 00:11:57 The Two Biggest Failure Modes in AI Implementation 00:13:37 Moving Fast vs Being Deliberate 00:15:04 The Slop Problem 00:21:24 Guardrails Done Right 00:23:45 Model Selection Strategy 00:27:25 Build vs Buy: When to Use Consulting vs Internal Teams 00:29:40 The Bootcamp Approach 00:31:19 The Million Lines of Code Myth 00:32:46 Embracing Mistakes and the Experimental Mindset 00:34:33 Personal Tech Stack and the OpenClaw Reality Check #ArtificialIntelligence #MachineLearning #AITesting #TechLeadership #SoftwareEngineering #DataScience #OpenAI #ProductManagement #GenerativeAI #AIEvals

12. 

    7 Apr 2026

    Employees as Air Traffic Controllers: Rethinking Work in the AI Era

    Sergio Furio, CEO of Creditas, joins Keith Richman to discuss how AI is fundamentally transforming his Brazilian fintech company. In this episode of Applied Intelligence, Sergio reveals how transitioning from traditional apps to 24/7 AI conversational agents is revolutionizing the customer experience and loan underwriting. He details how Creditas automated 85 complex legal risk assessments for collateralized lending and drastically boosted employee productivity—allowing the company to grow 30% annually while halving its overall headcount. Sergio also shares how AI platforms like Claude, Perplexity, and Notion are shifting company culture, turning traditional managers into hands-on "builders" who can execute end-to-end. If you want to know what real-world AI deployment looks like at a massive scale, this is a must-listen. Chapters 00:00:00 Intro 00:08:51 The AI Factory: Cultural Transformation Over Technology 00:09:28 Personal AI Transformation: From Excel to AI-First Workflows 00:16:26 Employees as Air Traffic Controllers 00:23:07 Liquidity Risk and Intelligent Data Orchestration 00:28:04 Expanding Access: How AI Reduces Costs and Widens the Funnel 00:29:37 Perplexity for Proof of Concepts: Building Agents in Real-Time 00:32:29 Builders Over Managers #AI #ArtificialIntelligence #Fintech #Business #Leadership #MachineLearning #Productivity #Technology #Lending #Startups

13. 

    27 Mar 2026

    The 6-Layer Framework for Scaling AI That Actually Works

    Keith Richman sits down with Jeff McMillan, former Head of AI at Morgan Stanley, to unpack the realities of deploying enterprise AI. Jeff shares his journey of partnering with OpenAI in early 2022 and breaks down his six-layer framework for scaling AI effectively—emphasizing why models alone aren't enough. They explore the critical importance of data quality, governance, and the emerging "agentic orchestration" layer that will define the future of corporate AI. Jeff also explains why he believes the "Head of AI" title should be a temporary role and why giving every employee access to AI tools is the best way to drive adoption and reduce risk. If you're a business leader navigating AI integration, this episode delivers practical, battle-tested strategies. Chapters 00:00:00 Introduction: From Morgan Stanley to AI Transformation 00:00:41 The Unlikely Path: From Army Lieutenant to AI Leader 00:03:33 The OpenAI Partnership: First Enterprise Customer 00:06:47 The Six-Layer Enterprise AI Stack 00:08:45 Why Data Quality Still Matters More Than Models 00:09:58 The Agentic Orchestration Layer: The Future of Enterprise AI 00:14:56 MCP Protocol: The Railway Gauge for AI 00:17:22 Build vs Buy: Strategic Decisions for Different Company Sizes 00:23:44 The Ferrari in the Walmart Parking Lot Problem 00:28:13 Measuring AI Success: From Contact Velocity to Revenue 00:32:34 The Three-Year Timeline: Realistic Expectations for AI Transformation 00:36:32 Shadow AI and Enterprise Tool Strategy #ArtificialIntelligence #EnterpriseAI #BusinessLeadership #MachineLearning #TechInnovation #DataAnalytics #GenerativeAI #FutureOfWork #AIStrategy #AgenticAI

14. 

    18 Mar 2026

    The Argument for Why AI Can’t Replace Teachers

    Is AI actually helping students learn? In this episode of Applied Intelligence, host Keith Richman sits down with Jason Robinovitz, an education business leader and micro-school founder, to discuss the real-world impact of AI in education. Jason shares why his school prioritizes human connection over screens, how he practically integrates tools like ChatGPT and Claude to empower teachers, and why heavily marketed "two-hour AI schools" might leave kids unprepared for the real world. They also dive into the ethics of AI in college applications and why AI might actually widen the educational gap rather than close it. Whether you're an educator, business owner, or parent navigating technology in the classroom, this conversation offers grounded, actionable insights on deploying AI without losing the human element. Timestamp: Chapters 00:00:00 Intro 00:00:54 The Micro-School Model 00:01:40 The ChatGPT Moment 00:03:46 Detecting AI Usage 00:06:16 Maximizing Human Connection Time 00:07:16 The Alpha School Debate 00:11:24 Ethical AI Usage 00:12:42 The English Major's Revenge 00:15:30 The Future of Tutoring 00:17:53 Why AI May Increase Educational Inequality #AI #Education #EdTech #ArtificialIntelligence #Tutoring #Business #Technology #FutureOfEducation #AppliedIntelligence

15. 

    6 Mar 2026

    Enterprise AI Is a Mess. Here's the Fix.

    Brendan Falk joins Keith to dismantle the hype around enterprise AI. While AI can generate software instantly, Falk explains why legacy integrations and edge cases make real-world deployment a massive challenge. He shares his proven framework for prioritizing AI initiatives based on business value versus technical feasibility and offers actionable strategies for upskilling teams. Whether you are evaluating internal tools, looking to automate customer support, or trying to bridge the gap between AI capabilities and actual ROI, this episode provides a grounded roadmap for success. #artificialintelligence #businessstrategy #enterpriseai #nocode #startups #softwareengineering #aws #productivity #techtrends #management

16. 

    11 Feb 2026

    We Help 800k Patients with AI — Here's What Actually Works

    Numan CEO Sokratis Papafloratos joins Keith to discuss the delicate balance of deploying AI in a highly regulated healthcare environment. Sokratis shares his unique perspective, having studied neural networks 25 years ago before building a digital health platform that has served 800,000 patients. They dive into why Numan uses a hybrid AI-human model for behavioral coaching while strictly avoiding AI for clinical diagnostics due to safety concerns. Sokratis details their internal tech stack—including Cursor for coding and Intercom’s Fin for support—and explains the critical process of converting unstructured patient data into actionable insights. This is a pragmatic look at how to scale healthcare safely using artificial intelligence. Chapters 00:00:00 Introduction: AI's Promise for Healthcare Access 00:00:38 From Neural Networks to Numan: A 25-Year AI Journey 00:06:11 The ChatGPT Watershed Moment and Healthcare Caution 00:10:56 Hybrid AI-Human Coaching: The Current Model 00:17:32 Democratizing Healthcare Through AI Scale 00:22:52 AI Across the Organization: Coding, Customer Service, and Beyond 00:24:09 Developer Productivity 00:43:11 Security, Data Privacy, and the Healthcare AI Guardrails 00:46:44 Personalized Healthcare Journeys #AI #Healthcare #DigitalHealth #Business #Technology #Startups #MachineLearning #Leadership #Innovation #MedTech

17. 

    4 Feb 2026

    How AI Helped Double Our Revenue with Half the Staff

    Voi CEO Fredrik Hjelm joins Keith Richman to reveal how the European micro-mobility giant is transitioning into an AI-native organization. Fredrik breaks down his aggressive "build vs. buy" strategy, explaining how Voi reduced legacy SaaS spend by nearly 40% by replacing software with custom LLM tools. The conversation covers the evolution from basic chatbots to autonomous agents, the reality of "Shadow AI," and why AI curiosity is now a hiring requirement. From automating tender bids to replacing junior engineering tasks, this is a masterclass in practical, high-impact AI deployment for operators. #AI #ArtificialIntelligence #BusinessStrategy #CEO #TechTrends #SaaS #Voi #Automation #Leadership #MachineLearning Chapters 00:00:00 Introduction: Hiring for AI Readiness 00:00:30 Voice's Journey: From Hypergrowth to AI-First 00:01:14 The Klarna Moment: Early AI Inspiration 00:05:10 Phase One: The Year of the Chatbot (2023) 00:05:43 Organizational Change Management for AI 00:09:04 Shadow AI and the White-Listing Process 00:11:12 Phase Two: Coding Assistants and Vertical AI Tools 00:13:36 Buy vs Build: Rethinking the SaaS Stack 00:16:47 Mapping Software Products for AI Replacement 00:18:02 Removing Human from the Loop 00:19:01 Top-Down Cross-Functional AI Implementation 00:21:24 The New Software Sales Reality 00:23:50 Cost Savings vs Revenue Growth with AI 00:27:38 The Rise of 100x Engineers 00:30:01 Hiring for AI Aptitude Across All Roles 00:31:13 Domain-Specific AI Tool Stacks 00:32:28 Structured vs Unstructured Data: The AI Challenge 00:35:22 Understanding LLMs in Enterprise Settings 00:37:07 Case Study: Liquidize Marketing Automation 00:38:50 LLM Orchestration and Model Selection 00:40:34 Becoming the World's First AI-Native Micromobility Platform 00:42:13 Constraints: The Key to Safe AI Automation 00:44:05 Organizational Response: From Resistance to Enthusiasm 00:46:54 Creating the Head of AI Role 00:50:42 The Results: Double Revenue, Half the Staff 00:51:41 Frederik's Personal AI Tech Stack 00:56:22 The Biggest Win: Company-Wide AI Adoption

18. 

    26 Jan 2026

    How We Are Deploying AI: 10x Functionality at 20% the Cost

    Anthony Soohoo, CEO of MoneyGram, joins host Keith Richman to discuss how he is transforming an 80-year-old legacy payments company into an AI-first organization. Anthony shares his practical philosophy on AI adoption: start with a clear problem statement rather than the technology itself, and manually validate workflows before automating them. He explains why enterprise-wide goals must supersede departmental silos and predicts a massive disruption in the enterprise software market where costs drop by 80% while functionality increases tenfold. This episode is a masterclass for leaders looking to navigate the gap between AI hype and real-world operational implementation #AI #BusinessStrategy #DigitalTransformation #FinTech #Leadership #ArtificialIntelligence #TechTrends #CEO #MoneyGram #AppliedIntelligence Chapters 00:00:00 Introduction: AI Transformation at MoneyGram 00:00:40 MoneyGram's Legacy Business and Digital Transformation 00:03:58 Building an AI-First Culture 00:05:56 Starting with Problem Statements, Not Functions 00:09:48 Communicating AI to Employees 00:11:30 Outcome-Based AI Strategy vs Functional Automation 00:14:27 The Future of Enterprise Software 00:15:44 Vetting AI Vendors and Partners 00:21:06 Enterprise Goals vs Departmental Goals 00:25:10 Data Strategy and Infrastructure 00:32:35 Early Wins and Productivity Gains 00:34:25 Hiring for AI Success: Enterprise Mindset 00:36:00 Data Labeling and Training Approaches 00:39:54 Personal AI Tech Stack 00:41:29 Advice for 100M Revenue Companies 00:42:24 The Transformation Opportunity

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