How Clay Residential qualified 725 investor leads without adding IR headcount

Clay Residential builds and sells single-family rental homes to investor buyers, and its broker channels were doing their job: leads arrived. The bottleneck was everything between a lead arriving and a conversation happening.

Qualifying each one, updating the CRM, and running follow-up is real work, and it came out of the same investor-relations capacity that closes deals. The team was spending its most valuable hours on the least valuable part of the funnel.

There was also a data problem. The firm was light on first-party data: a small set of closed buyers and a clear sense of who they were, but a thin base to source from. Anything built on it had to turn a small, well-understood set into a much larger qualified one.

PSV built an AI employee that works the front of the funnel. It sources lookalike investor buyers from the profile of Clay's own closed buyers, scores them against the criteria the firm actually uses, and writes the result into the CRM the team already runs on.

The thin first-party data was handled by going deep on the profile rather than wide on the list. A structured intake captured the buyer definition in enough detail that the employee sources against the firm's real criteria instead of a generic investor persona, which is what makes lookalikes off a small seed set worth anything.

Outreach was staged deliberately, at the client's request. The first stage was sourcing, qualification, and CRM orchestration only, so the team could read the lead data and sharpen its pitch before anything went out. Approved outreach was layered on after, drafted in Clay's voice and queued for review. Nothing sends without the team's approval, and the relationship never leaves them.

Clay asked to start broad and narrow the criteria once patterns showed up in the lead data. The build was set up to work that way, so tightening the profile is a change to the criteria rather than a rebuild.

725 investor leads were sourced and qualified in the first weeks of the employee running, off nothing more than the firm's own closed-buyer profile.

Qualification and CRM upkeep came off the investor-relations team's plate, so the hours that were going to admin go to the conversations that close instead. No IR hires were added to make that happen.

Every outbound message is drafted in Clay's voice and held for the team's approval before it sends. The firm kept ownership of the pitch and the relationship, which was a condition of the engagement rather than a concession to it.

An AI employee sources lookalike investor buyers from the profile of the firm's own closed buyers, qualifies and scores them, and keeps the CRM current. Every conversation still belongs to Clay.

725 investor leads were sourced and qualified in the first weeks of the employee running, off nothing more than the firm's own closed-buyer profile.

Every outbound message is drafted in Clay's voice and held for the team's approval before it sends.

First weeks of running, July 2026. 725 is the count of investor leads the employee sourced and qualified. It is not a count of sales.