A bridge-lending team puts intake and follow-up on autopilot
A private lending firm deployed an agent4.io agent as the first touchpoint on its website and WhatsApp line. The agent answers rate questions from the firm's own program sheets, pre-qualifies borrowers, and chases document checklists — officers now start from a complete file.
The starting point
The firm's loan officers were fielding every inquiry personally — including the midnight "what's your rate" messages and the applicants who were never going to qualify. Document collection ran over email, and each officer kept follow-up reminders in a personal calendar.
What was deployed
- A single lending agent on the website widget and the firm's WhatsApp number, sharing one conversation memory per borrower.
- The firm's rate sheets and program guidelines uploaded to the knowledge base — the agent answers eligibility and rate questions from those documents, with the firm's required disclaimers.
- A pre-qualification playbook: purpose, amount, timeline, collateral, income — collected conversationally and pushed to officers as a structured summary.
- Scheduled follow-ups for document checklists: the agent lists missing items and nudges until the file is complete.
What changed
First response went from "next business morning" to minutes. Officers stopped triaging and started underwriting: by the time a file reaches a human, it's qualified and the checklist is complete. Borrowers who stalled on documents get systematic nudges instead of depending on whoever remembered.
This deployment runs on the same tenant features every plan includes: knowledge base, web + WhatsApp channels, per-space isolation, and scheduled follow-ups.