
SF Agent Builders
SF Agent Builders provides an AI-agent pipeline that automates property tax appeal lead generation by reading county assessor records, scoring parcels against client-specific criteria, and delivering ranked, call-ready leads to a firm's CRM each morning. The service charges a build fee plus a flat monthly rate rather than taking a cut of contingency fees, and its first LA County deployment produced 1,200 scored leads in the initial run.
- AI Agents
- Sales Technology
- Artificial Intelligence
- Enterprise Software
- Software Only
- Financial Technology
- Property Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Property tax appeal firms lose cases not at the hearing but upstream: finding over-assessed parcels before competitors do and reaching owners before another firm signs them. Manual research across fragmented county records is slow and expensive, and most owners never appeal even though a majority of those who do win at least a partial reduction.
Solution
SF Agent Builders provides an AI-agent pipeline that reads public county assessor records, values each parcel against comparable sales, scores it against the firm's specific case criteria, enriches it with owner contact data, and delivers a ranked, call-ready lead file to the client's CRM every morning. The pipeline runs nightly across the client's chosen counties, dropping any record that fails the fee threshold or filing-window test. The company charges a build fee plus a flat monthly rate rather than taking a cut of contingency fees. The first deployment in Los Angeles County produced 1,200 scored leads in the initial run, with roughly 350 new leads per month afterward.
Target Audience
Property tax appeal practices and contingency-based firms that need a scalable, automated way to find over-assessed properties and reach owners before competitors. The service is currently deployed with an LA County appeal practice and onboarding firms in TX, CA, NY, IL, and FL.
Features
- Scored on client-specific criteria encoded during onboarding, including minimum savings threshold, property classes, counties, and comparable spread acceptable at hearing
- Owner name and direct phone line appended to every record through cross-referencing and verification, not just a mailing address
- Ranked by estimated fee value so the most valuable cases appear at the top of each batch
- Deadline-aware: the agent tracks each county's filing window and flags records with short remaining deadlines
- Five-stage pipeline (Read, Value, Score, Enrich, Deliver) runs unattended on a nightly schedule
- Output delivered directly into the client's GoHighLevel CRM sub-account, with the outbound owner email sequence running from the same system