AI is already in your business, whether you’ve formalized it or not. In this episode, Sevana Stone and Corby McGordon break down how small business owners can use AI strategically for efficiency without handing over judgment, accountability, or human nuance. The conversation focuses on practical use cases, especially in finance, exit planning, and operations, and why the human brain still has to stay in the room. Corby Megorden is a principal at ENNIS Legacy Partners. They work with small to mid-sized business owners to plan their exits and realize their exit goals. Corby has been a Financial Planning and Analysis professional since the late 80’s and his experience has been both in senior Operations and senior Finance Roles. Corby helps owners gain clarity on what drives the finances of the business and help them get the machine running smoothly. Key topics In this episode, Sevana Stone introduces AI as a strategic business tool, not just a faster way to write emails or search for information.Corby McGordon frames AI as a very capable intern or junior employee that needs clear direction, explicit boundaries, and human oversight.The discussion traces the spreadsheet revolution back to VisiCalc in 1979 and compares that inflection point to modern AI adoption.Corby explains where AI is strongest in his work - repetitive mechanics like reading PDFs, generating spreadsheets, and processing known variables.Both hosts stress that AI struggles with assumptions, interpretation, context, and emotionally informed judgment, which are central to financial analysis.Corby emphasizes human accountability in client work, including the rule that AI should never send anything directly to a client without review.The conversation highlights legal, compliance, and confidentiality risks, including concerns around AI and attorney-client privilege.They discuss how AI can bloat output, create more work, or encourage overreliance if users stop thinking critically.Corby shares how he uses Claude for calculations and model building, while ChatGPT is better for explanatory and verbal work.The episode closes with a practical reminder: AI is best used for low-hanging fruit, administrative drag, and routine tasks, not for replacing human judgment in hiring, leadership, or decision-making.Timestamps 00:00 - AI is already here and the real question is strategy 00:55 - Meet the hosts and Corby McGordon’s finance and exit planning background 02:01 - Why Corby’s AI workflow stood out 03:03 - AI as an eager intern that needs direction 04:03 - Why better tools may improve communication and articulation 04:31 - VisiCalc and the first big business software inflection point 05:58 - The professionals who adopted the tool became more powerful 07:10 - What AI actually does well in Corby’s business 08:29 - Where AI breaks down on interpretation and analysis 09:37 - Why the human factor still matters in assumptions 10:31 - Spreadsheets, AI, and the rise of extra work instead of less work 11:57 - Why small business owners need problem solving, not data overload 13:26 - Human accountability and the rule that AI never sends client work 14:44 - Legal and confidentiality concerns in an AI world 16:27 - Using AI for options and research without outsourcing judgment 17:45 - Keeping AI from over-suggesting and distracting from priorities 18:18 - How to prompt AI so it understands what you need 19:22 - Memory limits and output storage issues in AI workflows 20:33 - Claude for calculations and ChatGPT for narrative work 22:32 - Why tool preference is about output style and use case 23:29 - Why CRM and business software rarely solve the real problem 24:50 - Exit planning is about owner goals, not just maximizing value 26:42 - Where AI should not make the decision for you 27:56 - Why human chemistry matters in hiring and team building 29:07 - Why uncertainty breaks simple algorithms 30:20 - Critical thinking can degrade when AI becomes the main advisor 31:29 - Why more data is not always better 32:27 - Corby’s current AI stack and how he chooses tools 33:40 - Start with one tool, then expand by need 34:47 - Sevana’s own automation stack and how tools free up time 36:56 - Matching the tool to the sophistication of the need 37:43 - AI should save time, money, and manual effort 38:14 - How automation frees team members for higher-value work 40:14 - No business is completely outside the benefit of AI 41:18 - Roll out AI from the lowest level to build ownership 42:50 - Why Corby points clients to other experts when needed 44:08 - Recommended books and the Exit Readiness Podcast 47:37 - Sevana’s recommended books, research sources, and AI platforms 49:31 - Final wrap-up and show close Notable quotes “AI isn't coming for your business. It's already there.” “The people replaced by AI will not be replaced by AI. They will be replaced by the people who learn how to use the information.” “Everything that we do is a draft.” Action items Audit your current AI use and ask whether it is saving time or simply creating more output.Set a clear rule that AI-generated client work must be reviewed by a human before it goes out.Identify one repetitive, low-value process and test AI or automation there first.Use AI for drafting, summarizing, extracting data, and generating options, not final decisions.Train your team to own the tool rather than fear it.Choose one platform that fits your actual workflow, then learn it well before expanding.Recommended titles mentioned in the episode Prediction MachinesCo-IntelligenceFinish BigWalking to DestinyExit Readiness PodcastClaude ChatGPT Notion AI MIT Sloan AI Send us Fan Mail Support the show Subscribe on Apple Podcasts, Spotify, and YouTube. Mind the business behind your business. 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