AI infrastructure for real estate teams.
Qualification, showing coordination, and long-cycle nurture — automated end-to-end so your agents spend their day with clients instead of chasing Zillow leads at midnight.
What most teams accept as normal.
- Portal leads going cold in the 30 minutes before an agent responds
- ISAs burning out on repetitive qualification calls
- 12–18 month nurture that never actually runs
- Showing coordination eating half a listing agent's day
- CRM full of stale, unenriched contact records
A system for every seam.
- Slow portal-lead response
- ISA burnout on qualification
- Long-cycle nurture never runs
- Showing coordination drag
- Stale CRM
Speed-to-lead, solved.
Every portal lead — Zillow, Realtor.com, Homes.com, Facebook — is qualified, contacted, and either booked or nurtured within 60 seconds. Research shows leads contacted inside five minutes are 21× more likely to convert than those contacted within 30. Our systems own those minutes.
Every deployment is scoped to the operational realities of real estate. Review the underlying service architecture.
Long-cycle nurture that actually runs.
Twelve-to-eighteen-month nurture sequences with market-triggered check-ins ('a home just listed on your street'), price-drop alerts on saved searches, and personalized re-engagement — running quietly in the background of Follow Up Boss, kvCORE, Sierra, or Chime.
Every deployment is scoped to the operational realities of real estate. Review the underlying service architecture.
Showing coordination without a coordinator.
Buyers request showings by SMS or web. The AI proposes times, coordinates with the seller-side, books in the MLS-connected calendar, and sends confirmation with the address and lockbox instructions — with the agent looped in only when the deal is real.
Every deployment is scoped to the operational realities of real estate. Review the underlying service architecture.
3.2× more appointments booked per lead, ISA headcount unchanged.
We replaced the manual ISA response layer with an AI WhatsApp qualifier connected to Follow Up Boss and their Zillow feed. Within 60 days: 12-second average first response, 3.2× more booked appointments per portal lead, and their ISA team refocused on live-warm handoffs instead of chase calls.
Answers, on the record.
- Which real estate CRMs does Forge Labs integrate with?
- Forge Labs integrates natively with Follow Up Boss, kvCORE, Sierra Interactive, Chime, LionDesk, BoomTown, and HubSpot. Two-way sync of contacts, deals, activities, and tags works identically across all supported systems — plus custom CRMs via API.
- Can AI qualify Zillow, Realtor.com, and Homes.com leads?
- Yes. Forge Labs deploys unified qualification layers that ingest from every major portal, plus Facebook Lead Ads, Google Local Services, and web forms. Each lead is scored, enriched, and routed against the team's ideal-client criteria within 60 seconds.
- How does AI handle showing coordination?
- The AI proposes times from the listing agent's calendar, negotiates around the seller's blackout windows, books the appointment in the CRM, and sends confirmation with address, MLS access code or lockbox instructions, and directions — all over SMS or WhatsApp without an ISA in the loop.
- Will AI follow-up replace my ISAs?
- No — it upgrades their role. ISAs move from cold-call qualification to warm-handoff conversations with pre-qualified, pre-briefed prospects. Teams typically see ISAs handling 2–3× more meaningful conversations per day, with lower burnout.
- How does long-cycle nurture work for real estate?
- Forge Labs configures 12–18 month nurture sequences that combine time-based touches (quarterly market updates) with behavior triggers (a home listed on their street, a price drop on a saved search, a life event detected in their reply). Every touch is personalized by the LLM in the agent's voice.
- WhatsApp lead follow-up that never goes cold.
AI-powered WhatsApp follow-up engine that replies to every new lead in seconds, qualifies conversationally, and books meetings — 24/7, in your brand voice.
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