Episode Summary

Justin Trumbull, founder of Antecen Advisors, delivers a no-nonsense roadmap for implementing generative AI in title agencies. He explains why small businesses fail at AI adoption, how to move from experimentation to value creation in 90 days, and which use cases deliver immediate ROI. Topics include prompting fundamentals, document review automation, workflow integration, and building a culture that balances tech innovation with compliance. Justin shares practical frameworks for training teams, tracking experiments, and deciding when to invest in custom solutions versus commercial tools.

About Justin Trumbull

Justin Trumbull is President and Founder of Antecen Advisors, a consulting firm that helps organizations move from AI pilots to measurable performance. He spent a decade at major consulting firms leading strategic and operating model work across industries, and 15 years as an academic teacher and researcher in biological sciences before pivoting to enterprise AI readiness. Justin specializes in helping both Fortune 500 companies and small businesses cut through AI hype and build practical implementation frameworks. He works extensively with real estate and title industry clients.

Key Takeaways

• The biggest barrier to AI adoption is not technology but the belief you need everything figured out before starting—begin with low-hanging fruit and structured experimentation instead.
• Generative AI works best when you provide two things: precise prompts and trusted reference documents that prevent the model from sourcing answers from unreliable places like Reddit.
• A realistic 90-day roadmap includes 30 days of team training on prompting and content direction, 30 days of structured experimentation tracking value, and 30 days evaluating investment in commercial or custom solutions.
• Document review, title search assistance, contract red flag analysis, and escrow workflows are high-value generative AI use cases for title agencies because they involve repetitive text-heavy tasks with predictable structures.
• Treat AI outputs like drafts from a junior assistant—always review for accuracy, especially in high-stakes title work where mistakes carry real legal and financial consequences.
• Customer-facing chatbots create more harm than good unless precisely tuned to your business, tested thoroughly, and proven to add value before becoming the default communication channel.
• Emerging opportunities include end-to-end intelligent file automation, instant title commitments for low-risk properties, AI-assisted digital closings, predictive pipeline forecasting, and tools that unify fragmented multi-modal data sources.

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