Intelligent Operations deployed at scale inside a national commercial real estate brokerage. Six agents, 80+ markets, 500+ properties — running in production every day.
Windfield is a national commercial real estate brokerage operating across 80+ markets in the United States. The firm handles property sales, leasing, tenant representation, and investment advisory across office, industrial, retail, and multifamily asset classes.
Automated enrichment of commercial property profiles with market data, competitive positioning, tenant analysis, and investment metrics.
Inbound and outbound lead enrichment through Clay, LinkedIn, and custom APIs. Leads are scored, segmented, and routed into the CRM.
Voice-fingerprinted content generation, 12-layer article architecture, and an agentic LinkedIn publishing loop.
Audience building, sequence design, and targeting list generation based on property intelligence and lead enrichment data.
Competitive intelligence, market trend analysis, and submarket scoring across 80+ markets.
Automated daily digests, agent execution reports, workflow completion metrics, and data quality dashboards.
Markets covered
Properties profiled
Agents deployed
Operational leverage
The agents work. The workflows work. The data is where everything breaks. Schema drift, missing geocodes, conflicting market classifications — we spent more time on data quality than on agent development.
Notion rate limits, Clay credit caps, LinkedIn scraping restrictions — these are not bugs. They are constraints that shape the architecture.
At 3 properties, you can audit manually. At 500, you need row-level security, audit logs, and automated validation.
Agents fail. APIs timeout. Models hallucinate. Retry logic, fallback strategies, confidence thresholds, and human escalation paths are not optional.
Everything described on this page is in production. Not planned. Not in development. Running. Every day. Against real data. For a real company.