Episode Summary

Mo Choumil demystifies artificial intelligence for title professionals, explaining how ChatGPT, Claude, and Gemini compete to deliver faster, cheaper tools for agencies. This episode walks through building custom GPTs that answer questions from your policy manuals, the difference between GPTs and AI agents that perform multi-step tasks, and a four-part action plan for cautious adopters. Learn which workflows to automate now, what requires human judgment, and how to prepare for AI that watches and learns your processes within the next two to three years.

About Mo Choumil

Mo Choumil is CEO of Alltech National Title, a national title insurance underwriter, and host of the Title Agents Podcast. He focuses on helping title professionals adopt operational innovations and scale their agencies through technology, talent strategies, and modern business practices. Mo regularly explores emerging technologies including artificial intelligence, workflow automation, and software integrations that increase agency efficiency without requiring technical expertise from title professionals.

Key Takeaways

• The AI model competition between OpenAI, Anthropic, and Google directly benefits small title agencies through lower costs, faster processing speeds, and simpler interfaces that require no coding skills.
• Custom GPTs transform institutional knowledge locked in binders into instantly searchable AI experts that answer policy questions, train new hires, and reduce onboarding time without requiring technical expertise to build.
• Claude’s massive context window allows it to analyze 500-page policy manuals or complex closing document chains in a single pass, making it ideal for deep document review work.
• AI agents differ from custom GPTs by performing multi-step tasks autonomously—reading emails, updating settlement software fields, and sending confirmations without human intervention for each step.
• Within two to three years, AI agents will learn complex workflows by watching you perform them once or twice, then execute those tasks independently in your settlement software.
• Start automation with low-stakes, high-volume repetitive tasks like internal reports and basic data entry, but never automate high-stakes decisions requiring human judgment on title exceptions or legal interpretations.
• The four-part action plan includes building one custom GPT, uploading guides to Google’s free Notebook LM, auditing workflows for 10-plus minute repetitive tasks, and asking software vendors about their AI roadmaps.

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