Podcast and Takeaways: The Right Way to Get Your Team Using AI
May 12, 2026
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By Sean Bailey, Horsesmouth Editor in Chief
AI for Advisors Podcast: Most advisors trying to introduce artificial intelligence to their teams are making the same mistake: They’re focusing on tools instead of workflows. If you want your firm to become more productive without creating resistance or overwhelm, these takeaways are worth your time.
Editor’s note: Subscribe and listen to the podcast on Spotify, Apple, or your favorite podcast platform.
Key takeaways
- AI adoption fails when advisors show “cool demos” instead of solving a real workflow problem.
- The biggest barrier to team adoption is unclear use cases—staff members don’t see how AI connects to their day-to-day work.
- AI often feels slower at first because it disrupts existing workflows and requires new habits.
- Many employees quietly fear AI could reduce their value or replace parts of their role.
- A firm’s productivity is limited by its slowest workflow, not its most AI-savvy advisor.
- Don’t overwhelm teams with 15 AI demos—start with one repeatable workflow that saves real time.
- Client meeting prep is one of the highest-value AI workflows for advisory firms.
- Advisors should “show, not tell” by demonstrating how they personally use AI during team meetings.
- Five-minute mini demos during regular meetings work better than occasional large AI training sessions.
- The most effective starter prompt framework: Role → Task → Format.
- More advanced prompts improve dramatically when you add Context, Questions, and Examples.
- One of the most powerful prompting tactics: Tell the AI to “ask me questions one at a time.”
- AI adoption compounds once team members personally experience meaningful time savings.
- AI-generated work should be treated as a draft with humans in the loop—not a final product.
- Advisors should demonstrate AI using real firm tasks, not generic Internet examples.
- Firms that succeed with AI treat it as part of everyday operations, not an occasional experiment.
- The goal is not to become “AI-first” at the expense of people, but “AI-forward” to better serve clients and stay competitive.