Been running AI on top of my real estate pipeline for a few months now. Pulling leads, qualifying them with automated followup sequences, generating property descriptions, drafting cold outreach. On paper it looks clean and efficient.
The part nobody in the AI hype cycle mentions is the compliance layer. Real estate has actual regulations around communication, fair housing, and how you prospect. When you bolt an AI that occasionally hallucinates onto that, you're not just risking a bad lead. You're risking your license.
The tools themselves are genuinely useful. An LLM that can turn raw MLS data into a compelling listing description in 30 seconds is real value. Lead scoring with some AI logic on top of a CRM cuts grunt work significantly. That part is not oversold.
What is oversold is the autonomy angle. Every vendor pitches set it and forget it. That's not how it works in a regulated industry where one wrong automated message can trigger a complaint. You still have to babysit the outputs more than the demos ever suggest.
Curious if anyone here is building in domains where AI errors have real legal or professional consequences, and how you're actually handling the gap between what the model produces and what you can safely send or act on.
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