AI calling for real-estate lead follow-up
Call every portal lead within minutes, qualify budget and locality, and book a site visit — before the lead picks up a rival broker.
Learn moreAI calling for loan recovery
Automate EMI reminders and soft-collection calls that capture a promise-to-pay date on every connected call.
The problem
Collection teams burn hours on dials that never connect and agents who go off-script. Manual follow-up is inconsistent, compliance is hard to prove, and broken promises go untracked until the next cycle.
How Vaanicall runs it
Import borrowers
Upload your overdue-account list as a CSV — that is the production batch-import path today. Every number is automatically scrubbed against the DND registry before a single dial. A contact-ingest API endpoint is on the roadmap.
AI calls in the TRAI window
The scheduler dials only between 09:00–21:00 IST and honours the DND registry. The opening line is yours to script — and if your licence requires it, optional in-call AI-disclosure enforcement can be switched on per tenant.
Capture promise-to-pay date and reason
An extraction schema pulls the committed payment date and the stated reason (cash-flow, salary delay, dispute) from the conversation and writes them as structured fields to the contact record.
Retry and callback per disposition
No-answers re-enter the retry queue at your configured interval. A "promise given" disposition schedules a reminder call before the due date. A "broken promise" escalates to a human agent automatically.
Escalate broken promises
If a committed date passes without payment, the system raises a callback task for your collection supervisor — no manual queue monitoring required.
Hear it
Sample call — the agent opens with your brand and script
AI Agent: Namaste, main Karan bol raha hoon Arthveer Finance ki taraf se. Kya main Priya Sharma ji se baat kar sakta hoon?
Customer: Haan, main hi hoon. Kya hua?
AI Agent: Priya ji, aapki ₹8,400 ki EMI 12 June ko due thi aur abhi pending hai. Kya aap mujhe bata sakti hain kab payment ho sakti hai?
Customer: Salary thodi late aayi hai. Main 20 tarikh tak kar dungi.
AI Agent: Shukriya Priya ji. Maine 20 June ki promise-to-pay note kar li hai. Kya koi aur date discuss karni hai?
Customer: Nahi, 20 ko ho jaayega.
Sample transcript for illustration. Actual call content varies by contact data and agent configuration.
What you get
- Captures a promise-to-pay date and reason on every connected call as structured contact fields.
- Schedules automated follow-up before the committed date and escalates broken promises to human agents.
- Produces a disposition for every attempted number — connected, no-answer, DND-skipped — for campaign-level analytics.
- Writes an immutable audit-log entry per call, recording call time, extraction result, and retry action, ready for regulator or supervisor review.
Compliance
Compliance
- TRAI calling window: dials only 09:00–21:00 IST; no out-of-window leaks.
- DND scrub: numbers on the DND registry are skipped automatically at dial time.
- Consent record: consent action and timestamp are captured and stored in the audit log.
- Audit log: every call action is written to an immutable append-only log.
Questions, answered
The platform enforces TRAI calling windows (09:00–21:00 IST) and skips DND-registered numbers automatically. The immutable audit log captures call time, extraction outcome, and retry action for regulator review. In-call AI-disclosure enforcement is available as an optional per-tenant setting if your licence requires it. Your organisation remains responsible for aligning messaging to any RBI-specific guidance for your licence type.
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Make your first AI call today
Spin up an agent, import a list, and watch outcomes reconcile in real time. Free to start — pay only for talk-minutes.