Real AI Use Cases Business Owners Roundtable

Elizabeth Gearhart
  • 4.7 (3)
  • 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. 1d ago

    Can Rogue AI Agents Really Destroy Humanity? An AI Expert Explains

    Can rogue AI agents destroy humanity? Will artificial intelligence ever become conscious? And how can business owners use AI tools like ChatGPT, Claude, Gemini, and Perplexity to save time and improve productivity? On this episode of Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart speak with AI expert Arshavir Blackwell about the reality behind AI doomsday predictions, the science of machine consciousness, and practical ways to get more value from today's AI tools. Arshavir challenges sensational claims about rogue AI agents, explaining why human oversight, system safeguards, and the limitations of current technology matter when evaluating AI risks. The conversation explores whether AI can think independently without being conscious, why today's AI systems still depend on complex computing infrastructure, and whether combining biological neurons with computer chips could eventually change our understanding of intelligence. The discussion then turns to real-world AI applications for businesses and professionals. Arshavir explains how he uses Claude to analyze meeting transcripts across multiple conversations, connect information from different reports, and make complex information easier to understand. Elizabeth and Richard share how they use ChatGPT, Claude, Google Gemini, Microsoft Copilot, and Perplexity for different tasks, from content creation and research to video analysis and work involving confidential information. You'll also hear why AI-generated answers can sound authoritative even when they're wrong, why it's important to verify information, and how to guide AI tools to deliver shorter, clearer responses. Whether you're a business owner exploring AI for the first time or an experienced professional looking to improve your AI workflow, this episode separates AI hype from practical reality and offers ideas you can start applying today. About the Guest: Arshavir Blackwell has extensive experience in artificial intelligence and cognitive science. Learn more about his work through Inside the Black Box on Substack: subscribe.insidetheblackbox.ai. TL;DL — Too Long; Didn't Listen: Rogue AI and AI safety: Why Arshavir believes some warnings about AI taking over humanity are exaggerated, while acknowledging the need for safeguards. AI consciousness: Why independent thinking and behavior do not necessarily mean that an AI system is conscious. Practical AI for business: How to use AI to analyze meeting transcripts, synthesize information, and make complex reports easier to understand. ChatGPT vs. Claude vs. Gemini: How different AI tools can serve different business needs, including writing, research, video analysis, and information processing. AI accuracy and hallucinations: Why confident-sounding AI answers still require verification and human judgment. Getting better AI results: How to ask AI tools for concise answers, simpler explanations, and responses tailored to your needs. Confidentiality and AI: Why businesses and professionals should consider data confidentiality when choosing AI tools and workflows. Frequently Asked Questions: Can rogue AI agents destroy humanity? Arshavir Blackwell argues that many predictions about rogue AI destroying humanity are exaggerated. He emphasizes that current AI systems have technical limitations and depend on human-built infrastructure, while recognizing the importance of safeguards and controlled access to computer systems. Will artificial intelligence ever become conscious? Chapters (00:00:00) - Introduction and Guest Welcome(00:01:17) - Rogue AI Fears: Debunking the Hype(00:07:31) - Why AI Systems Are More Fragile Than They Seem(00:09:07) - Can AI Achieve Consciousness?(00:11:27) - Biological Neurons in Data Centers(00:13:46) - From Chips to Biology: Full Circle Thinking(00:14:10) - Practical AI Use Cases in Business(00:15:38) - Medical Records and Meeting Synthesis with Claude(00:17:51) - Choosing Between ChatGPT and Claude(00:19:56) - Comparing LLMs: Copilot, Perplexity, Gemini and More(00:22:17) - AI Hallucinations and Legal Practice Challenges(00:23:31) - Closing Remarks

  2. 4d ago

    How Businesses Use Multiple AI Agents to Build Software

    How are businesses actually using artificial intelligence to save time, automate tasks, and improve decision-making—and are the results worth the cost? On this episode of Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart bring together business owners and AI practitioners to discuss practical applications of AI, the growing role of AI agents, and the risks of relying too heavily on automated systems. Todd Drowlette explains how AI transformed commercial real estate site selection, completing research that once took three full-time employees three weeks in just three and a half hours. Brandon Bellamy shares how he uses AI to identify comparable commercial properties and uncover new business opportunities. Sam Desany explains how he uses Claude, Codex, and multiple AI agents to turn early-stage ideas into working software through a structured process of brainstorming, refining prompts, and reviewing outputs. Richard Gearhart discusses using Microsoft Copilot to estimate business value and identify potential ways to improve it, while Elizabeth Gearhart shares how she is using AI to optimize podcast content for search and answer engines and help develop a book based on real business AI use cases. But AI productivity comes with trade-offs. The panel examines the hidden costs of AI tools and usage credits, questions whether automation always delivers a return on investment, and discusses why businesses still need human judgment, reliable sources, and careful verification. They also explore AI hallucinations, leading questions that produce biased answers, financial data privacy, overreliance on AI, and the importance of keeping a human in control of consequential decisions. Whether you're a small business owner, executive, marketer, entrepreneur, or technology professional, this episode offers practical insights into where AI can deliver measurable value—and where caution is essential. TL;DL — Too Long; Didn't Listen Automate repetitive work: AI reduced a commercial real estate research process from three weeks of full-time work by three people to just three and a half hours. Discover new opportunities: Use AI to analyze property records, compare similar buildings, and identify potential buyers or business prospects. Build better AI workflows: Multiple AI agents can brainstorm ideas, refine prompts, and help generate code. Understand the true cost of AI: Usage credits, subscriptions, oversight, and human review can reduce expected savings. Verify AI-generated answers: AI can hallucinate, overlook important context, and reinforce the assumptions behind a question. Protect sensitive information: Be cautious about submitting confidential financial, customer, or business data to AI tools. Keep humans in control: AI should support human expertise and critical thinking, not replace independent judgment. Frequently Asked Questions: How are businesses using AI to save time? Businesses are using AI to automate research, analyze market data, identify commercial real estate opportunities, complete routine document tasks, generate code, and streamline content production. In one example discussed in this episode, AI reduced a research process from three weeks of work by three full-time employees to three and a half hours. What are AI agents, and how can businesses use them? AI agents are systems configured to perform tasks or sequences of tasks toward a goal. Businesses can use multiple agents to brainstorm ideas, refine instructions, review outputs, and assist with software development and workflow autom... Chapters (00:00:00) - Intro: AI's Potential Dangers Teaser(00:00:36) - Todd Drowlette: AI for Real Estate Site Selection(00:02:03) - Brandon Bellamy: Using AI as a Lens, Not a Crutch(00:03:16) - Sam Desany: Multi-Agent Coding Workflow(00:04:16) - Explaining the Multi-Agent System Simply(00:06:17) - Richard Gearhart: Business Valuation via AI(00:07:17) - Writing a Book from Podcast Content Using AI(00:08:28) - Naming the Book: Real AI Use Cases(00:09:02) - Could AI Kill Us All?(00:09:34) - AI Risks: Human Oversight and Job Costs(00:09:54) - ROI Concerns and Rehiring After AI Layoffs(00:10:54) - AI as a Tool, Not a Replacement for Thinking(00:11:43) - Bioweapons and Bad Actors vs AI Takeover(00:12:21) - AI Bias, People-Pleasing, and Verifying Answers(00:13:32) - Over-Reliance on AI and Losing Problem-Solving Skills(00:15:02) - Explaining AI Agents and Closing Remarks

  3. Oct 15

    Why Businesses Can't Trust AI Without Human Oversight

    Why Businesses Can't Trust AI Without Human Oversight Real AI Use Cases Business Owners Roundtable explores how businesses are using artificial intelligence today—and what happens when AI gets things wrong. Hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart bring together Dr. Joseph A. Puma, Brian Fried, and John Schwind to discuss real-world AI applications, business automation, AI agents, healthcare, and the risks of trusting AI-generated answers. How can businesses use AI effectively without giving up human judgment? In this episode, business owners share practical examples of AI in action, from automating patient phone calls and researching new inventions to generating marketing images, identifying networking opportunities, and streamlining podcast production. Dr. Joseph A. Puma explains how his medical practice uses an AI phone agent to handle patient requests and appointment scheduling—but reports that approximately 70% of calls still require transfer to a live agent. The discussion raises important questions about AI automation, return on investment, and whether AI tools are delivering the benefits businesses expect. Inventor consultant Brian Fried explains how he uses AI to research competing products, evaluate market opportunities, investigate potential sales and licensing prospects, and assess inventions before investing further. He also discusses why inventors should avoid revealing confidential details of their ideas when using AI tools. John Schwind, founder and inventor of ReadiMask®, shares how his company uses AI-generated images and videos to depict real-world product applications while protecting patient privacy. He also explains how he uses Claude and ChatGPT together to identify weaknesses and check AI-generated work. Elizabeth Gearhart discusses using AI agents and Perplexity to automate podcast production and marketing workflows, while Richard Gearhart shares how AI can help identify valuable business networking connections and evaluate software investments. The roundtable also examines the limitations and risks of artificial intelligence, including AI hallucinations, inaccurate research, autonomous AI agents, cybersecurity, and the possibility of AI making mistakes in high-stakes settings. The conversation turns to AI doctors, patient safety, medical ethics, liability, and whether cost reduction is taking priority over better healthcare. The takeaway? AI can be a powerful tool for research, innovation, marketing, and automation—but confident-sounding answers are not necessarily correct. Human oversight, independent verification, privacy protection, and sound judgment remain essential. TL;DL: What You'll Learn AI in business: Practical examples of how companies are using AI for research, marketing, networking, and automation. AI customer service: Why one medical practice still transfers approximately 70% of AI-handled calls to live agents. AI for inventors: How to research competitors, evaluate market opportunities, and explore licensing strategies without disclosing an entire invention. AI marketing: How businesses can use AI-generated images and videos while protecting privacy. AI agents and automation: Opportunities and risks when AI systems carry out tasks with increasing independence. AI hallucinations: Why ChatGPT, Claude, Gemini, and other AI tools can produce incorrect information that sounds authoritative. AI in healthcare: Questions surrounding AI doctors, diagnosis, patient safety, medical ethics, and human care. Human oversight: Why checking AI outputs and comparing results across tools can help busin... Chapters (00:00:00) - Introduction and Episode Overview(00:00:39) - Dr. Joseph A. Puma: AI Phone Agents in Medical Practice(00:02:09) - Brian Fried: AI for Market and Patent Research(00:03:34) - John Schwind: AI-Generated Marketing Images(00:04:37) - Richard Gearhart: AI for Networking Research(00:05:34) - Elizabeth Gearhart: Automating Podcast Workflow with Perplexity(00:06:23) - AI Agents Going Rogue and Human Risk Comparisons(00:09:02) - Speed of AI Progress and Need for Safeguards(00:10:12) - AI Doctors and the Future of Medicine(00:11:34) - Trust, Ethics, and Cost in AI Healthcare Adoption(00:13:58) - Patients Self-Diagnosing with AI(00:16:02) - AI's Blind Spots in Business Analysis(00:16:57) - Cross-Checking AI Tools and Finding Errors(00:20:08) - AI Mistakes, Misinformation, and Real-World Dangers(00:22:27) - Closing Thoughts and Sign-Off

  4. Oct 13

    How AI Agents Transform Sales, Training and Business Growth

    How are businesses using AI agents to improve sales, train employees, automate workflows, and drive business growth? On this episode of Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart and Richard Gearhart welcome Paul Burani, Co-Founder & CRO at Atlas Primer to explore how companies can use artificial intelligence strategically to improve productivity while strengthening the uniquely human skills that drive business success. Paul explains how AI agents can connect CRM systems, emails, and customer conversations to improve business development and personalized outreach. He also shares how AI-powered role-play and sales training help employees practice customer conversations, develop stronger communication skills, and receive personalized coaching without waiting for a human trainer. The discussion explores how business leaders can identify the right AI opportunities, measure return on investment (ROI), automate repetitive tasks, preserve institutional knowledge, and use AI to make better decisions. Rather than adopting every new AI tool, Paul recommends starting with clear business objectives, testing solutions, and measuring results. Discover why the future of AI at work isn't necessarily about replacing people—it's about automating routine tasks so employees can focus on judgment, relationship-building, problem-solving, and other uniquely human strengths. TL;DL — Too Long; Didn't Listen AI agents for business: Connect CRM systems, emails, and customer data to improve outreach and customer relationships. AI sales training: Use AI role-play to practice customer conversations, receive feedback, and improve sales performance. Strategic AI implementation: Start with business objectives, test solutions, and measure ROI instead of chasing the latest tools. AI automation and productivity: Automate repetitive work so employees can concentrate on higher-value activities. Human skills in the AI era: Strengthen communication, empathy, judgment, and trust while using AI to enhance productivity. AI for business growth: Use organizational data to identify problems, share knowledge, improve processes, and uncover new opportunities. FAQs: 1. How can businesses use AI agents to improve sales and marketing? AI agents can connect customer conversations, email, and CRM data to help businesses identify promising prospects, personalize outreach, determine effective messaging, and improve the timing of communications. 2. How can AI be used to train sales teams and customer service employees? AI-powered role-play allows employees to practice realistic customer interactions, handle difficult conversations, improve active listening, and receive feedback on their performance in a repeatable, low-pressure environment. 3. How should businesses decide which processes to automate with AI? Businesses should begin by identifying a specific problem and defining the desired outcome. They can then test AI solutions on a small scale, establish measurable performance indicators, and evaluate whether the results justify broader implementation. 4. How can businesses measure the ROI of AI implementation? Companies can track measurable outcomes such as employee onboarding time, sales cycle length, average deal size, operational costs, and productivity improvements. They should also account for implementation expenses and staff time. 5. Will AI replace employees and eliminate the need for human skills? AI can automate many repetitive tasks, but businesses still rely on people... Chapters (00:00:00) - Introduction and Welcome(00:00:58) - How Paul Uses AI: Connecting CRM and Communication(00:02:55) - Richard and Elizabeth's AI Use Cases in Outreach(00:04:48) - AI's Historical Evolution and Rise of ChatGPT(00:07:27) - Entrepreneurs as AI Frontier Pioneers(00:08:32) - Strategic vs Low-Hanging Fruit AI Adoption(00:11:11) - Visioning Business Transformation with AI(00:12:21) - Gearhart Law's Background and IP Expertise(00:13:49) - Incremental vs Transformational AI Gains(00:16:11) - Atlas Primer: Maximizing Human Potential with AI(00:18:34) - Role-Play Training and Practice Infrastructure(00:20:57) - Designing New Processes Around AI(00:22:08) - AI Limitations: The Big Picture Problem(00:22:40) - Personal AI Website Experience and Human Support(00:24:13) - Setting Up a Practice Program with Atlas Primer(00:26:35) - Capturing Sales Expertise and Institutional Knowledge(00:28:38) - Data Security and Knowledge Base in Atlas Primer(00:30:20) - Client Results and Case Study: Travel Company(00:34:01) - Closing Remarks and Sign-off

  5. Oct 8

    How Businesses Use ChatGPT, Claude and Gemini for Research, Design and Automation

    How are businesses actually using AI—and when does it create more problems than it solves? On Real AI Use Cases Business Owners Roundtable, hosts Elizabeth Gearhart, Ph.D., and Richard Gearhart join entrepreneurs and business experts for a candid discussion about practical AI applications, data confidentiality, intellectual property risks, productivity, and the real return on investment of AI tools. From using AI to research questions and verify sources to creating branded marketing materials, automating purchase-order processing, editing podcasts, and generating content, the panel shares real-world examples of how AI is changing everyday business operations. But the conversation also reveals why businesses need to think carefully before handing AI their confidential information, relying on its answers, or investing in expensive AI integrations. TL;DL: What you'll learn in this episode How businesses are using AI for research, design, administrative tasks, and content production. Why entering confidential business information, client communications, or unpublished inventions into public AI tools can create serious risks. How AI use could affect trade secrets, patent rights, and legal proceedings. Why traditional automation may be a better investment than AI for some business processes. How to evaluate AI tools based on actual time savings, productivity, and return on investment. Why human judgment, independent thinking, and fact-checking still matter. Whether AI tools are becoming more capable—or simply creating new frustrations and expectations. Real AI use cases from the roundtable Richard Curtis explains how he uses AI for research and follows its citations back to original sources. Rose Marie Iskowitz discusses using Claude's design capabilities to develop branded social media assets, presentations, and other creative materials. Yidian Liu shares how AI helps organize purchase orders from multiple vendors into a standardized spreadsheet. Elizabeth Gearhart explains how AI streamlines podcast production, including creating episode descriptions, keywords, transcripts, and images. Richard Gearhart shares a cautionary legal example involving an expert who used AI improperly in preparing a report for litigation. The risks businesses cannot afford to ignore The panel examines the potential consequences of submitting confidential company information, client emails, or unfiled invention details to public AI tools. They discuss how data-handling policies matter, why protecting intellectual property requires care, and how AI-generated work can create problems in legal proceedings. The conversation also explores a common business mistake: adopting AI simply because it is available. Existing automation tools may already solve a problem more efficiently, while poorly implemented AI integrations can consume more time than they save. Finally, the panel debates whether AI is improving, why its answers can still be unreliable, and how businesses can benefit from AI without surrendering human judgment, creativity, or control. Frequently asked questions about AI for business 1. Is it safe to enter confidential business information into ChatGPT or other AI tools? It depends on the specific tool, its settings, its data-handling policies, and your organization's agreements and obligations. Businesses should review how information is processed and retained before submitting trade secrets, client information, unpublished inventions, or other sensitive material. When in doubt, use an approved, appropriately protected workflow. 2. Can using AI affect patent rights or trade secrets? Potentially. Disclosing an inven... Chapters (00:00:00) - Intro and Quick AI Use Case Round(00:01:07) - Googling with Citations and Claude for Design(00:02:39) - Sorting POs with Automation Tools(00:03:08) - AI Misuse by Legal Experts in Court(00:04:46) - AI for Podcast Editing and Content Creation(00:07:01) - Authors Becoming Media Technicians(00:07:52) - Confidentiality Risks with AI Tools(00:08:20) - Hiring and Spotting AI-Generated Work(00:08:40) - AI Hijacking Thinking and Rabbit Holes(00:09:43) - Patent Disclosure Dangers with Public LLMs(00:11:40) - AI vs Existing Automation (Zoho CRM Example)(00:13:02) - Is AI Worth the Time Investment?(00:13:41) - Historical Parallel: E-books and Human Values(00:15:05) - Sci-Fi Reflections on Over-Automation(00:15:32) - Chair Shopping Fail and AI Accuracy Debate(00:16:25) - Is AI Getting Better or Worse Over Time?(00:18:39) - Closing Thoughts and Sign Off

  6. Oct 6

    When Should Businesses Trust AI to Work Without Humans?

    How are businesses actually using AI right now—and where do humans still need to stay involved? On this episode of Real AI Use Cases Business Owners Roundtable, Elizabeth Gearhart and Richard Gearhart talk with business leaders about practical, real-world ways they are using AI for work, productivity, research, content creation, learning, automation and decision-making. TL;DR: AI can save businesses significant time, help employees learn new skills, improve writing and readability, assist with research, plan travel and even help manage complex business processes. But the conversation also highlights an important limitation: AI should not be trusted blindly. Human oversight is still critical when errors could have serious consequences, when accuracy matters, and when AI-generated content needs judgment, context and a human voice. Dr. John La Puma explains how he uses AI to manage his farm, prepare for podcasts, organize research and stay on top of email. Michael Greenberg shares how AI helps him plan trips, train new employees and create skills maps for learning new disciplines. Bill Treloar discusses using AI for website and blog brainstorming, content structure and readability analysis—while warning against publishing low-quality “AI slop.” Richard Gearhart describes using AI as a sounding board for legal ideas and communications, while Elizabeth Gearhart explains how she used Claude and Perplexity to help plan a major software transition and prevent potential upgrade problems. The discussion also tackles a bigger business question: When can an AI agent handle an entire process, and when does a human need to check its work? The answer may depend on how costly a mistake would be. A process that can tolerate a 95% success rate may be suitable for greater automation, while mission-critical tasks may still require human review. The episode explores practical AI use cases including AI agents, AI automation, AI-assisted writing, research agents, NotebookLM, email management, employee training, skills mapping, business process improvement and human-in-the-loop AI. FAQs: How are businesses using AI right now? Businesses are using AI for content brainstorming, research, employee training, process improvement, email management, readability analysis, travel planning, business planning, knowledge management and automation. Should businesses let AI work without human oversight? It depends on the consequences of an error. AI can potentially handle processes where mistakes are relatively low-risk, but humans should remain involved when accuracy is mission-critical or an error could cause significant harm. What is human-in-the-loop AI? Human-in-the-loop AI means AI performs part or most of a process while a person reviews, verifies or approves important outputs before they are acted upon. How can businesses use AI without publishing low-quality content? AI can be useful for brainstorming, research, outlining and improving readability, but businesses should have humans review and edit content for accuracy, originality, context, tone and quality before publishing it. Can AI help employees learn new skills? Yes. AI can create customized learning plans, recommend books, videos and articles, break larger skills into smaller components and help employees develop new areas of expertise. How can AI help with business process improvement? AI can analyze existing processes, identify potential problems, suggest improvements and create plans for reducing bottlenecks or preventing mistakes. Human judgment is still needed to determine which recommendations make sense for the business. What are AI agents? AI agents are AI systems that... Chapters (00:00:00) - Introduction to the Roundtable(00:00:35) - Dr. John La Puma: AI for Farm Management(00:01:30) - Michael Greenberg: AI for Weekend Planning(00:02:06) - Bill Treloar: AI for Web and Blog Writing(00:02:39) - Richard Gearhart: AI as a Legal Sounding Board(00:03:28) - Elizabeth Gearhart: AI for Software Transition Planning(00:04:47) - Debate on Human Oversight vs AI Autonomy(00:05:43) - When to Trust AI vs Require Human Checks(00:07:23) - Dr. John La Puma: AI for Podcasts and Research(00:08:34) - More AI Uses: Readability and Emotional Emails(00:09:29) - Closing Thoughts and Sign-Off

  7. Oct 1

    How AI Gets Reliable Financial Data: Inside the AI Supply Chain

    How does AI get reliable information—and how can businesses use AI to automate work, build products faster, and even create new revenue from their data? On this episode of Real AI Use Cases Business Owners Roundtable hosted by Elizabeth and Richard Gearhart, Andrew Lebbos, SVP of Licensing at Benzinga explains how a financial data company is using AI throughout its business while also supplying trusted financial data to AI platforms. Benzinga provides data to platforms including Perplexity, helping AI systems answer financial questions with structured, verified information. Andrew explains why data accuracy and quality assurance are critical for AI, especially in financial services where incorrect information can have serious consequences. Benzinga combines automated quality checks with human review to identify errors, outliers and AI hallucinations before information is published or delivered to clients. The conversation also explores how businesses are building around AI instead of simply adding AI to legacy systems, how AI is helping engineers dramatically reduce time to MVP, how employees across different departments are using AI differently, and why businesses should use enterprise AI tools rather than uploading company information into consumer accounts. Andrew also shares his experience using Claude, Perplexity, Perplexity Computer and Genspark, including an impressive example of using AI to create a presentation that would have taken approximately 40 hours to produce manually. Perhaps most importantly, Andrew explains how businesses with valuable data can potentially license that data to AI companies and LLMs—and why consistency, structured delivery, accuracy and credibility are essential to becoming a valuable data provider. TL;DL — Too Long; Didn't Listen AI isn't just a tool businesses use—it is becoming an ecosystem businesses can power. Benzinga uses AI internally, helps clients build AI systems, and licenses financial data to AI platforms. This episode explores AI automation, reliable data for LLMs, AI hallucinations, enterprise AI, AI productivity, data licensing and how businesses can prepare their data for the AI economy. What You'll Learn: How Benzinga uses AI across its business and development processes How financial data can be used to power AI platforms and answer engines Why accurate, structured data is critical for LLMs How businesses can reduce AI hallucinations through data quality and human review How AI can automate tedious business processes Why some companies are building new systems around AI instead of adding AI to legacy technology How AI is helping engineering teams build products and reach MVP faster How employees in different departments can use AI in different ways Why businesses should use enterprise AI agreements for sensitive company information How businesses can potentially license valuable data to AI companies and LLMs What makes a data set valuable enough for an AI company to purchase How Claude, Perplexity and Genspark can be used for business productivity FAQs: How is AI being used in financial services? AI is being used to automate processes, accelerate product development, analyze information and help deliver financial data through AI-powered platforms. Benzinga also supplies financial data to AI platforms. Why is accurate data important for AI and LLMs? AI models can make mistakes or produce hallucinations. For financial information, where there is often a specific correct answer,... Chapters (00:00:00) - Introduction: Benzinga and AI Data Contribution(00:01:38) - Andrew's Role at Benzinga(00:02:28) - Building Systems Around AI(00:03:14) - Automating Podcast Workflow with AI Tools(00:03:57) - Ensuring Data Accuracy and QA Processes(00:05:10) - Government Trade Filings and OCR QA(00:06:30) - Favorite LLMs and Tools Used(00:07:42) - Company AI Usage Policies and Guardrails(00:09:02) - Team-Wide AI Usage Across Departments(00:10:07) - Perplexity Partnership and Data Licensing(00:12:06) - Business Model for Licensing Data to LLMs(00:13:58) - Reddit Data, Accuracy, and Financial Reliability(00:16:22) - Comparing Fable 5, Perplexity, and Other Tools(00:17:50) - Closing Thoughts and Benzinga's Mission

  8. Sep 29

    The AI Coworker Is Here: Here’s What It Can Do

    Stop Just Chatting With AI—Put It to Work TL;DL AI can do much more than answer questions. In this episode of Real AI Use Cases: Business Owners’ Roundtable, business owners share how they are putting AI to work to make phone calls, research software, personalize customer experiences, check the work of other AI models, draft emails, analyze business decisions, and even act like a specialized member of the team. Dima Negodiuk shares one of the most striking examples: instead of personally calling dentists to find one that accepted his insurance and had an available appointment, he sent an AI calling system to contact roughly 150 offices. The result? He woke up with three options that fit his requirements and spent only minutes making the final choice. Delphine Le Grand explains how AI has helped a very small team operate with capabilities that once would have required specialists in areas like marketing, finance, legal, engineering, and operations. She also discusses how she changes the way ChatGPT interacts with her depending on the task—from straightforward business analysis to deeper brainstorming and different perspectives. Drea Lynn uses multiple AI models to check one another's work. She may take an answer from Claude, give it to ChatGPT for critique, and then continue refining the result. She also explains how she has trained Claude to be direct with her instead of automatically agreeing or sugarcoating its feedback. Richard Gearhart shares how he uses ChatGPT to compare complicated business software systems. Instead of spending hours reviewing manuals, videos, features, and documentation, he uses AI to quickly identify the pros and cons of competing platforms and help frame the decision. Elizabeth Gearhart discusses another challenge: Can you trust what AI tells you about your own business? When testing AI visibility for Gearhart Law, she found that ChatGPT repeatedly recommended the firm—raising an important question about personalization, flattery, bias, and whether companies should use independent or neutral searches when evaluating how they appear in AI-generated recommendations. The group also gets into a bigger issue: your AI may start to reflect the way you interact with it. Some users want a friendly brainstorming partner. Others want a blunt critic. And with the right instructions, the same AI can behave like a business strategist, marketing director, researcher, coach, or specialist. In This Episode You’ll hear real-world examples of: Using AI agents to make large numbers of phone calls Automating appointment and service-provider research Using AI to compare complex business software Having Claude and ChatGPT critique each other’s work Training AI to give more direct, less flattering feedback Using AI as a virtual business specialist or advisor Personalizing ChatGPT for different tasks and situations Using AI with small teams to increase operational capacity Evaluating your company's visibility in ChatGPT and other AI engines Recognizing personalization and bias in AI-generated recommendations Using AI for email drafting and workflow automation Getting more useful results by telling AI what role you want it to play The takeaway is simple: stop thinking of AI only as something you chat with. Start thinking about what work you can actually give it. FAQs How are businesses using AI beyond ChatGPT conversations? Businesses are increasingly using AI to carry out tasks such as making phone calls, researching vendors, comparing software, drafting emails, analyzing information, building internal tools, personalizing services, and revie... Chapters (00:00:00) - Introduction to the Roundtable(00:01:14) - AI Call Center for Appointments(00:02:17) - AI as a Business Superpower for Lean Teams(00:03:29) - 10xing Business with Multiple AI Checks(00:04:20) - Choosing CRM/ERP Software with ChatGPT(00:05:31) - AI Visibility and Querying LLMs About Yourself(00:06:47) - Flattery vs Honesty in AI Responses(00:07:39) - Training AI to Be Blunt and Truthful(00:09:04) - Cautionary Tale: AI Deleting Data(00:09:53) - Personalizing AI Interaction Styles(00:12:13) - Role-Playing Prompts for Expert Advice(00:12:49) - AI Training on Reddit and Declining Quality(00:14:44) - Closing Remarks and Sign-off

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Ratings & Reviews

4.7
out of 5
3 Ratings

About

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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