Blog
Notes on AI voice agents.
Research notes on AI voice agents across legal, real estate, finance, healthcare, and support. Regulatory deep-dives, evaluation frameworks, deployment lessons.
MLS, CRM, and AI voice in the middle: where the data goes when a buyer calls about a listing
MLS is the source of truth for listings. The CRM is the source of truth for leads. AI voice in the middle has to read one and write to the other. Here is the data architecture.
By NeuraVoice
Listing-agent vs buyer-agent intake: same caller, different schemas, different conversion
Same broker, same number, completely different schema depending on whether the caller is buying or selling. The branching question, the field set, and the conversion math.
By NeuraVoice
After-hours leads in real estate brokerage: where the calls go after 6 p.m. and what it costs
38% of real-estate inbound lead calls hit after 9-to-5. The 5-minute rule's RE-specific math, what answering services actually do for brokers, and what AI voice agents change.
By NeuraVoice
Real estate lead handoff: who picks up, who follows up, who actually closes
When an AI voice agent qualifies a buyer call at 9 p.m., the handoff sequence decides whether the lead converts. The patterns that work, the ones that break, and where ISA roles fit.
By NeuraVoice