Real AI Use Cases Business Owners Roundtable

Elizabeth Gearhart
  • 4.5 (2)
  • Entrepreneurship
  • Updated Weekly

Real AI Use Cases Business Owners Roundtable is a practical podcast for business owners, executives, and professionals who want to understand how artificial intelligence is actually being used in businesses today. Each episode features real conversations with entrepreneurs, leaders, and subject-matter experts who share one concrete AI use case they are using right now in their work—no hype, no theory, no futuristic speculation. Just real examples, real tools, and real outcomes. Hosted by Elizabeth Gearhart, Ph.D. and Richard Gearhart, the show focuses on how AI is applied across industries including marketing, operations, professional services, finance, law, healthcare, and technology. Episodes explore how businesses are using AI to save time, improve decision-making, increase efficiency, enhance customer experience, and gain a competitive edge. This podcast is designed for listeners who want to: * Understand practical, real-world applications of AI * Learn how businesses are implementing AI today * Cut through the noise and focus on what actually works * Get ideas they can adapt for their own organizations Real AI Use Cases Business Owners Roundtable is not about trends or predictions—it’s about what’s working now.

  1. 3d ago

    Is AI Making Us Smarter—or Dumbing Us Down?

    Is AI Making Us Smarter—or Dumbing Us Down? AI can help us work faster, analyze information, generate ideas, create images, write code, and streamline business operations. But what happens when we start relying on it too much? In this episode of Real AI Use Cases: Business Owners Roundtable, Elizabeth and Richard Gearhart sit down with Ryan Stana, Joey Stiver, and Ron Platt for a candid conversation about how business owners are actually using AI—and where they’re drawing the line. Ryan explains why his creative business uses AI to enhance human creativity rather than replace it. Joey discusses why AI can be useful behind the scenes in technology and development but potentially damaging to trust in patient-facing healthcare. Ron raises an even bigger concern: if AI starts doing our thinking, writing, researching, and problem-solving for us, could those human skills begin to deteriorate? Elizabeth shares how she uses ChatGPT, Claude, and Gemini as research and feedback partners, combining their input with her own professional experience rather than simply accepting what the AI tells her. She even describes pushing back when all three AI systems wanted her to remove a slide from a presentation—and deciding her own judgment was better. Richard provides another real-world example of the dilemma. While evaluating candidates for a CFO position, he used an LLM to compare financial models—and then realized he hadn't actually reviewed the models himself. Was AI making the process more efficient, or was he outsourcing a skill he should still be exercising? The conversation also tackles AI-generated creative work, disclosure and transparency, legal risks, AI accuracy, ChatGPT vs. Claude vs. Gemini vs. Perplexity, and when businesses should—and shouldn't—use AI. Together, these examples raise the central question of the episode: How do we take advantage of AI without giving up the human expertise, creativity, critical thinking, and judgment that make the technology useful in the first place? TL;DL AI should enhance human abilities, not replace them. The panel explores how AI can improve productivity while keeping human creativity and judgment at the center. Don't outsource your thinking to AI. Using AI for research, analysis, writing, and decision-making can save enormous amounts of time—but humans still need to evaluate the results. Know when to disagree with AI. Elizabeth uses multiple LLMs for research and feedback but doesn't automatically follow their recommendations when her own experience tells her otherwise. Overreliance on AI could weaken skills. The group questions whether letting AI handle too much writing, research, creativity, and problem-solving could eventually make us less capable of doing those things ourselves. Transparency matters. Businesses need to consider when customers and clients should know that AI was involved in creating content or delivering work. Different AI tools have different strengths. ChatGPT, Claude, Gemini, and Perplexity each have use cases where they may perform better than the others. AI output still needs human oversight. Faster isn't necessarily better if nobody checks whether the answer is accurate, appropriate—or even legal. Frequently Asked Questions Is AI making us smarter or dumbing us down? AI can make people more productive by accelerating research, analysis, coding, brainstorming, and other tasks. But the panel raises an important concern: if we allow AI to do too much of our thinking for us, we may stop exercising the very skills that make us effect... Chapters (00:00:00) - Introduction to the Roundtable(00:01:24) - Ryan and Joey's AI Use Cases(00:03:07) - Ron's Marketing Uses and Skepticism(00:04:06) - Losing Skills to AI(00:04:27) - Richard's Hiring and Modeling Use Case(00:05:56) - Elizabeth's AI Research and Directory Experiment(00:07:51) - Which AI Tools Everyone Prefers(00:09:12) - Video Editing and Multi-Tool Workflows(00:10:14) - Creativity, Dependence, and Brain Atrophy(00:11:08) - Legal Transparency in AI-Generated Work(00:12:21) - Mailbox AI Design and Postal Regulations(00:13:30) - Healthcare Ad Restrictions and Closing Thoughts

  2. Sep 3

    AI in the Real World: Practical Business Strategies, Avoiding Slop, and Finding Brevity

    How are actual business owners leveraging artificial intelligence right now—and where is it still falling short? In this dynamic roundtable recorded at iHeart Studios in Manhattan, hosts Elizabeth and Richard Gearhart are joined by entrepreneurs Craig Smith, Chris Ryan, and Jeff Sibel to break down the real-world applications, surprising shortcuts, and frustrating pitfalls of integrating AI into day-to-day business operations. From creating high-converting presentation slides and cross-industry content to detecting candidate work product and managing internal knowledge bases, our panel shares practical, no-fluff ways AI acts as a force multiplier for modern businesses. TL;DL (Too Long; Didn't Listen) AI as an Editor & Research Assistant: Craig Smith highlights using AI to tighten prose, inject punchiness, and act as a real-time copy editor to save hours of drafting time. The "Expertise Octopus": Chris Ryan explains how AI extends your reach across content generation, idea outlines, and critical counter-questioning to stress-test your business strategy. Content Blending: Jeff Sibel shares how he uses Claude and ChatGPT to bridge distinct topics—like real estate and financial planning—into engaging, weekly educational presentations with custom illustrations. Catching AI with AI: Richard Gearhart uses AI tools to evaluate job applicants' work products, checking whether candidates genuinely understand the core material or merely copied AI output. Visual Slide Decks & In-Image Editing: Elizabeth Gearhart walks through designing eye-catching presentation slides and using ChatGPT's pinpoint in-image edit tool to tweak specific visual details. Combating "AI Slop": The panel critiques AI's tendency to over-explain, generate cluttered slides, and strip away authentic human voice, stressing the urgent need for brevity, prompt efficiency, and active voice preservation. Everyday Life & Workplace Advice: Panelists share off-the-cuff personal uses, from organizing kids' summer camp options and brainstorming gifts to gaining a neutral second opinion on delicate workplace dynamics. Episode Highlights & Timestamps 00:00 – Introductions: Shifting the conversation from "What are you watching?" to "What are you using AI for?" 01:45 – Craig Smith on Stephen King, daily writing, and using AI as a line editor 02:40 – Chris Ryan on the octopus model and using AI to challenge your own assumptions 03:10 – Jeff Sibel on bridging real estate and wealth management using ChatGPT and Claude 03:45 – Richard Gearhart on screening candidate job submissions for AI-generated work 05:00 – Elizabeth Gearhart on creating marketing slides and using ChatGPT’s canvas/in-image editor 06:30 – Tackling "AI Slop" and the lost art of concise communication 08:45 – Database hygiene, token consumption, and "training the puppy" 10:45 – Maintaining brand voice when publishing through AI agents like Manus 11:45 – Personal use cases: Camp research, gift ideas, and navigating coworker friction Frequently Asked Questions (FAQs) Q: How can AI be used to improve business writing without replacing the author? A: Rather than asking AI to write from scratch, panelists recommend drafting your ideas first and using the tool as a developmental editor to trim wordiness, punch up headlines, and provide counter-arguments to test your logic. Q: How do business owners detect if job applicants are using AI? A: Many employers run submitted work produ... Chapters (00:00:00) - – Introductions: Shifting the conversation from "What are you watching?" to "What are you using AI for?"(00:01:45) - – Craig Smith on Stephen King, daily writing, and using AI as a line editor(00:02:40) - – Chris Ryan on the octopus model and using AI to challenge your own assumptions(00:03:10) - – Jeff Sibel on bridging real estate and wealth management using ChatGPT and Claude(00:03:45) - – Richard Gearhart on screening candidate job submissions for AI-generated work(00:05:00) - – Elizabeth Gearhart on creating marketing slides and using ChatGPT’s canvas/in-image editor(00:06:30) - – Tackling "AI Slop" and the lost art of concise communication(00:08:45) - – Database hygiene, token consumption, and "training the puppy"(00:10:45) - – Maintaining brand voice when publishing through AI agents like Manus(00:11:45) - – Personal use cases: Camp research, gift ideas, and navigating coworker friction

  3. Aug 31

    AI at Work: From Resistance to Results with Dr. Gleb Tsipursky

    Episode Title: AI at Work: From Resistance to Results with Dr. Gleb Tsipursky TL;DR Future-of-work expert Dr. Gleb Tsipursky joins hosts Elizabeth Gearhart and Richard Gearhart to reveal how real companies use AI agents to automate high-value tasks—from lead generation in financial firms to legal workflow prep. Learn how to overcome workplace resistance to AI, prompt across LLMs without losing context, and train AI models directly on your business processes. Show Notes & Description: Why do most AI projects fail to scale, and how are successful companies using AI right now to drive real business results? In this episode of Real AI Use Cases: Business Owners Roundtable, hosts Elizabeth Gearhart and Richard Gearhart sit down with behavioral scientist and future-of-work expert Dr. Gleb Tsipursky, author of "The Psychology of AI Adoption at Work: From Resistance to Results." Dr. Tsipursky breaks down how modern businesses—from financial wealth management firms to general legal practice—are quietly automating outbound outreach, client intake, and complex workflow preparation using AI agents. Plus, the hosts dive into legal hallucinations, prompt engineering across LLMs, and why the biggest barrier to AI ROI isn't technology—it's human psychology. What You’ll Learn in This Episode: Real-World AI Agents in Action: How a financial services firm built an automated agent using Claude to source high-value leads and draft personalized outreach—saving thousands on manual research. Overcoming Employee & Industry Resistance: Why attorneys and corporate teams fear AI, how to handle hallucinated case law, and why human-in-the-loop review is mandatory. LLM Strategy & Migration: How to export your personalized context and memory from ChatGPT to Claude in seconds without losing years of project setup. Process Mapping & Workflow Automation: How to use tools like Claude Cowork to screen-record manual tasks and instantly convert them into repeatable AI agents. Model Breakdown: When to use standard models (Claude Sonnet / ChatGPT) versus high-level reasoning models for complex, high-stakes business proposals and legal filings. Featured Guests & Resources: Guest: Dr. Gleb Tsipursky (CEO of Disaster Avoidance Experts) Book: The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press) Get a Free Chapter & Introduction: Visit disasteravoidanceexperts.com/aibook Frequently Asked Questions (FAQs) Q: What is an AI agent, and how does it differ from standard ChatGPT prompts? An AI agent is a repeatable automated task configured to interact with the real world independently. Instead of answering a single prompt, an agent can run on a schedule to gather web data, draft customized emails, or prepare client portfolios automatically. Q: How can businesses use AI agents without replacing human employees? AI agents excel at repetitive research, drafting, and data intake, but humans remain essential for final quality control, tone judgment, and high-stakes client relationships. In the episode, Dr. Tsipursky emphasizes keeping a "human in the loop" to review and send outgoing communications. Q: How do legal professionals avoid AI hallucinated cases? General LLMs can invent legal citations if used improperly. To prevent hallucinations, law practices use specialized legal AI platforms (such as Westlaw or LexisNexis AI) grounded directly in verified case databases, backed by strict attor... Chapters (00:00:00) - Real AI Use Cases(00:01:15) - Real-world case study: Automated lead generation for financial advisors(00:04:15) - What is an AI agent, and how much does it actually cost?(00:06:30) - he human-in-the-loop rule for high-value clients(00:07:00) - Resistance in the legal industry: 700+ attorney sanctions and hallucinations(00:09:40) - Legal AI vs. LLMs: Avoiding hallucinated court cases(00:12:10) - Model rankings: Claude vs. ChatGPT vs. Copilot vs. Perplexity(00:13:30) - Master Prompt: Transferring your chat memory between LLMs(00:18:20) - Advanced Workflows: Screen recording and process mapping with Claude Cowork(00:19:40) - Where to connect with Dr. Gleb Tsipursky

  4. Aug 26

    AI Saves Time - Claude + Notion: How This CEO Cut 80 Hours to 8

    AI Saves Time - Claude + Notion: How This CEO Cut 80 Hours to 8 How much time can AI actually save a business—and where does it still need a human in the loop? In this episode of Real AI Use Cases: Business Owners Roundtable, Elizabeth Gearhart and Richard Gearhart talk with Ryan Charles of Omni Common about how his growth marketing agency is putting AI to work every day. Ryan explains how his team uses Notion as a central source of truth, connecting client data, project management, meeting notes, reporting and other information—and then works with Claude to analyze that information and turn it into actionable business insights. The results can be dramatic. Ryan describes one data-analysis and strategy workflow that once could have taken roughly 80 hours and now takes about eight. TL;DL — Too Long; Didn’t Listen AI can produce major time savings: Ryan describes cutting a data-analysis and growth-strategy workflow from about 80 hours to 8 hours using Claude. Give AI a reliable source of truth: Notion, spreadsheets and raw data files help keep business information organized and reduce dependence on an LLM's memory. Human oversight still matters: AI can analyze data, build presentations and help create content, but numbers need verification and AI-generated writing often needs substantial editing to preserve an authentic brand voice. In this episode: How Omni Common uses Notion + Claude as part of its AI workflow Connecting Claude to Notion using MCP Using AI to analyze Google Analytics, Shopify, Square and other business data Turning complex data analysis into client presentations How AI cut one workflow from roughly 80 hours to 8 hours Why AI-generated numbers still need to be verified Using spreadsheets as a reliable source of truth Creating presentations with Claude and applying brand guidelines Why AI still struggles to preserve a company's—or person's—authentic voice The problem of "AI slop" Why human writers remain important even when AI is part of the content workflow How Elizabeth uses AI to optimize her own writing for LLM and AI search without giving up her voice Why different LLMs may be better suited to different jobs Ryan also shares why his agency still relies heavily on humans for final content creation. AI can research, synthesize and organize information remarkably quickly, but getting the final product truly on brand and in the right voice can require substantial human intervention. The takeaway: AI can dramatically accelerate business intelligence, marketing and content workflows—but the best results come when businesses combine AI's speed with reliable data, verification and human judgment. Frequently Asked Questions How can businesses use Notion and Claude together? Notion can serve as a central repository for client information, project data, meeting notes, tasks and reporting. Ryan's team connects Notion with Claude so Claude can access that information and use it for analysis and other business tasks. Can Claude connect directly to Notion? Yes. Ryan describes connecting Claude and Notion using MCP (Model Context Protocol), allowing Claude to access information stored in Notion as part of the workflow. How much time can AI save on business data analysis? In Ryan's experience, the savings can be sub... Chapters (00:00:00) - Cold Open(00:01:55) - Elizabeth - Why choose Claude?(00:02:29) - Ryan Charles - why Omni Channel runs on Notion + Claude(00:03:17) - Richard Gearhart - Are able to quantify the impact?(00:04:07) - Ryan Charles - Claude and data analysis(00:07:01) - Richard Gearhart - LLMs and data analysis(00:08:39) - Ryan Charles - Claude and branding and powerpoint(00:10:31) - Elizabeth Gearhart - LLMs and presentations(00:12:13) - Ryan Charles - content creation and AI slop(00:15:00) - Elizabeth Gearhart - Manus website and blogs(00:17:29) - Group - AI for presentations, AI slop

  5. Jul 28

    Does AI Kill Creativity? Real Talk with Romaine Waite & Business Owners Using AI Today

    Can AI make you more creative—or does it slowly make everyone sound the same? That's the question this episode tackles as business owners from different industries share how they're actually using artificial intelligence in their daily work. From machine learning that predicts when fresh bagels should come out of the oven, to AI-powered market research, fact-checking, content creation, and business strategy, this roundtable explores practical AI applications without the hype. Elizabeth Gearhart, Richard Gearhart, Romaine Waite, Jeff Perera, and Deon Hargrove discuss where AI saves time, where human judgment is still essential, and why the best results come from treating AI as a tool—not a replacement for expertise. Whether you're a business owner, marketer, entrepreneur, or simply trying to use AI more effectively, this conversation offers practical insights you can apply today. TL;DL AI works best as a productivity tool, not a substitute for human expertise. Machine learning is helping businesses predict customer demand and improve operations. Always fact-check AI by requesting sources and verifying important information. AI can accelerate research and learning but shouldn't replace deep understanding. Human creativity is still critical for marketing, branding, and compelling content. Overusing AI leads to "AI slop"—generic, repetitive content that audiences recognize. Video content continues to rise as one of the most effective marketing formats for small businesses. FAQs Can AI improve creativity? The panel concludes that AI can enhance creativity by accelerating research and brainstorming, but relying on it too heavily can produce generic work and weaken original thinking. How are businesses using AI today? Examples include machine learning for inventory forecasting, marketing research, summarizing complex information, creating content, and supporting strategic decision-making. Should you trust AI-generated information? No. The guests recommend asking AI to provide sources and independently verifying important facts before using them. What is "AI slop"? AI slop refers to generic, repetitive content that lacks originality and often uses recognizable AI-generated language and patterns. The panel discusses why human editing remains essential. Why is video becoming more important than podcasts for some businesses? Elizabeth explains why she's shifting more of her business toward video content creation, citing AI research showing that short-form and long-form video have become increasingly important marketing channels. What is the best way to use AI in business? Use AI to research, brainstorm, automate repetitive tasks, and increase productivity—but rely on human expertise, creativity, and critical thinking for the final product. Chapters (00:00:00) - Intro(00:01:10) - Romaine Waite(00:02:00) - Jeff Perera(00:03:30) - Deon Hargrove(00:04:10) - Richard Gearhart(00:05:00) - Elizabeth Gearhart

  6. Jul 23

    AI Content Creation: YouTube, LinkedIn & What's Next

    AI Content Creation: YouTube, LinkedIn & What's Next TL;DL AI is making content creation faster. Business owners are using AI to generate ideas, write LinkedIn posts, edit videos, and streamline their marketing workflows. YouTube success is driven by engagement. The panel discusses optimizing YouTube Shorts with stronger hooks, better titles, and improved audience retention. Human expertise still wins. While AI automates repetitive tasks, communication, creativity, and relationship-building remain the skills that set businesses apart. AI is transforming more than marketing. Entrepreneurs are using AI for client research, intellectual property analysis, and identifying new business opportunities. The future belongs to AI-powered professionals. The panel believes AI will change jobs—not eliminate the need for people who learn to work alongside it. Episode Summary How are successful business owners actually using AI? Is artificial intelligence replacing jobs, or creating entirely new opportunities? Hosts Elizabeth Gearhart, Ph.D. and Richard Gearhart welcome Robert Tuchman, founder of Amaze Media Labs, and Giuseppe Grammatico, franchise consultant and business coach, for a practical discussion about how entrepreneurs are integrating AI into their daily work. The panel shares real-world examples of using AI to generate LinkedIn content, optimize YouTube Shorts, identify trending topics, analyze potential clients, and speed up content creation while keeping humans in control of quality and strategy. The conversation also tackles one of today's biggest business questions: Will AI replace jobs? While automation will change many roles, the guests agree that professionals who develop communication, creativity, and strategic thinking skills will become even more valuable in an AI-powered economy. Frequently Asked Questions How are business owners using AI for content creation? The panel discusses using AI to generate content ideas, write LinkedIn posts, optimize marketing copy, edit videos, and create YouTube Shorts while keeping a human editor involved to ensure quality and authenticity. How can AI improve YouTube Shorts? AI can analyze viewer retention, identify weak openings, recommend stronger hooks, suggest better titles, and help creators produce videos that keep viewers watching longer. Is AI replacing content creators? No. The discussion emphasizes that AI is helping creators produce more content more efficiently, while human creativity, storytelling, editing, and business judgment remain essential. Can AI help improve LinkedIn marketing? Yes. AI can generate post ideas, draft LinkedIn content, improve headlines, and help business owners publish consistently while maintaining their own voice and expertise. How are companies using AI outside of marketing? The episode explores using AI to research potential clients, analyze intellectual property portfolios, identify business opportunities, and improve decision-making through faster research. Will AI replace jobs? The panel believes AI will automate many routine tasks and change the nature of work, but it will also create new opportunities for people who learn to use AI effectively. Why are soft skills becoming more important? As AI handles more technical work, communication, leadership, relationship-building, negotiation, and creativity become greater competitive advantages because they are difficult to automate. Who should listen to this episode? Business owners, entrepreneurs, marketers, consultants, content creators, and p... Chapters (00:00:00) - Real AI Use Cases(00:01:05) - Giuseppe Grammatico: AI for Content Creation & Hooks(00:01:52) - AI for LinkedIn Content(00:02:23) - AI for Patent Portfolio Analysis(00:04:13) - Optimizing YouTube Shorts with AI(00:07:14) - AI Agents for Franchise Marketing(00:08:19) - Takeaways from NVIDIA's GTC Conference(00:08:56) - AI, IP & Biotech at the NJ Bio Conference(00:11:54) - Will AI Take Your Job? The Soft Skills Debate(00:14:36) - Closing Thoughts & Where to Listen

  7. Jul 9

    Will AI Kill Jobs or Create Better Ones? Business Owners Debate.

    AI is transforming real businesses far beyond hype—and this roundtable gets brutally honest about what’s actually happening on the ground. Hosted by Elizabeth and Richard Gearhart, this episode of Real AI Use Cases: Business Owners Roundtable brings together entrepreneurs using AI every day in customer service, analytics, content, and strategy. You’ll hear James Thornton on fully AI‑powered customer service and quality assurance, Cliff Nonnenmacher on AI as decision support and operational leverage, Eric Kanagy on turning hidden infrastructure data into dashboards in seconds, and Richard Gearhart on the legal risks when AI prompts become discoverable evidence. Elizabeth shares how AI image generation went from “terrible thumbnails” to studio‑quality YouTube covers—and why human prompts and creativity still matter. Key takeaways: How AI is reshaping jobs, human capital, and the debate over universal basic income. Practical AI use cases in customer service, CRM workflows, data visualization, and vendor search. Why AI prompts, strategies, and outputs can be legally discoverable—and what that means for leaders. The difference between “AI slop” and thoughtful, human‑guided content and prompts. Where current language models fall short on emotion—and what might come next. Who this is for: Entrepreneurs, small business owners, and professionals who want real‑world AI use cases, not theory—and who care about both opportunity and risk as AI accelerates. Chapters (00:00:00) - Cold Open(00:02:22) - How AI Disrupted a $5,000/Month Content Creation Budget(00:04:44) - Unlocking Legacy Data: Automated Dashboards via Custom Prompts(00:06:17) - Utilizing Advanced AI Engines as Strategic Vendor Search Engines(00:07:23) - The Evolution of AI Image Generation and Thumbnail Iteration(00:09:05) - Intellectual Property Risks and Public LLM Data Discoverability(00:11:47) - The Future of Work: Job Creation vs. Human Capital Displacement(00:14:26) - Economic Deflation, Humanoid Robotics, and Universal Basic Income

  8. Jul 6

    AI: 6 Real Use Cases for Business

    Can you create an AI clone of yourself for your business? Which AI avatar platform is best? How do you train an AI assistant on your own knowledge? Those are the questions answered in this episode of Real AI Use Cases: Business Owners Roundtable. Hosts Elizabeth Gearhart and Richard Gearhart are joined by Dr. Patrick Porter, Lynn Rogoff, and Sherrill Mosee to discuss how businesses are using artificial intelligence today to create AI avatars, digital clones, custom knowledge bases, AI-generated video, and expert assistants trained on their own content. They also explore why AI patent filings are exploding across nearly every industry. If you're wondering whether AI can represent your expertise, answer customer questions, or create marketing videos without you appearing on camera every time, this episode provides real-world examples from business owners already doing it. In this episode you'll learn: How Dr. Patrick Porter created an AI assistant trained on his books, lectures, and educational content to answer customer questions. How businesses are building AI knowledge bases that stay within approved information instead of pulling answers from the open internet. The advantages and limitations of AI avatars and digital clones. Why HeyGen, D-ID, Runway, Kling, Sora, ChatGPT, Claude, and Google Gemini all play different roles in an AI content workflow. Best practices for creating a realistic AI clone using professional lighting, cameras, and microphones. How prompt engineering improves AI-generated video and images. Why enterprise AI solutions offer stronger privacy and control than consumer AI tools. How to reduce AI hallucinations by controlling the knowledge source. Why intellectual property attorneys are seeing a surge in AI-related patent applications across industries. Practical ways entrepreneurs, marketers, educators, and business owners are using AI today. AI tools discussed ChatGPT, Google Gemini, Claude, HeyGen, D-ID, Runway, Kling, Sora, Creatify, Harvey AI, AI avatars, AI clones, prompt engineering, AI video generation, enterprise AI, retrieval-based AI, custom AI assistants, knowledge bases, intellectual property, AI patents. Who should listen? This episode is valuable for: Business owners exploring AI automation Marketing professionals using AI for content creation Entrepreneurs building thought leadership Educators creating AI learning assistants Attorneys and innovators interested in AI patents Anyone considering an AI avatar or digital clone for customer engagement About Real AI Use Cases Real AI Use Cases: Business Owners Roundtable features real entrepreneurs sharing practical, proven applications of artificial intelligence. Instead of AI hype, you'll hear how companies are actually using AI to improve marketing, customer service, operations, education, and innovation. Chapters (00:00:00) - Cold Open(00:01:15) - Dr. Patrick Porter(00:02:00) - Sherrill Mosee(00:02:15) - Lynn Rogoff(00:03:00) - Richard Gearhart(00:04:03) - Elizabeth Gearhart

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Real AI Use Cases Business Owners Roundtable is a practical podcast for business owners, executives, and professionals who want to understand how artificial intelligence is actually being used in businesses today. Each episode features real conversations with entrepreneurs, leaders, and subject-matter experts who share one concrete AI use case they are using right now in their work—no hype, no theory, no futuristic speculation. Just real examples, real tools, and real outcomes. Hosted by Elizabeth Gearhart, Ph.D. and Richard Gearhart, the show focuses on how AI is applied across industries including marketing, operations, professional services, finance, law, healthcare, and technology. Episodes explore how businesses are using AI to save time, improve decision-making, increase efficiency, enhance customer experience, and gain a competitive edge. This podcast is designed for listeners who want to: * Understand practical, real-world applications of AI * Learn how businesses are implementing AI today * Cut through the noise and focus on what actually works * Get ideas they can adapt for their own organizations Real AI Use Cases Business Owners Roundtable is not about trends or predictions—it’s about what’s working now.

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