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Loan and deposit pre-qualification outreach
The customer already qualifies for the loan they need — they just don't know it, and the offer is sitting in a report no one acts on.
What it does
Banks and lenders can already see which customers likely qualify for a loan or would be better off in a different deposit product — a steady income inflow, a savings balance earning nothing, an eligibility flag that just turned green. But that signal usually dies in a dashboard, and the customer goes to whoever reaches them first. The agent turns the eligibility signal into a proactive, well-timed outreach: it explains what the customer likely qualifies for, answers the first questions, and guides them into the application — outbound acquisition into lending and deposit products instead of a missed cross-sell.
How it works
- 1Trigger. an eligibility or account signal fires — a qualifying income inflow, a savings build-up, a pre-qualification flag from the credit or risk engine.
- 2Decision. the agent checks suitability and consent, reads memory for products already held and offers previously declined, and confirms the customer is reachable on a compliant channel before composing anything; a judge gates the message.
- 3Action. a clear outbound touch on the customer's channel — voice, SMS, or email — that states what they likely pre-qualify for, why it fits their situation, and the next step, then answers the obvious questions in-conversation.
- 4Follow-through. interested customers are handed into the lender's own application flow; non-response gets one scheduled follow-up, and if eligibility changes or the customer applies on their own first, the pending outreach is cancelled rather than sent stale.
Configuration
How the agent is wired for this use case.
prequalified flag from the credit/risk engine, a qualifying income inflow, or a savings-balance threshold crossed in the core banking system.- Core banking / account stream · read income inflows, balances, and product holdings that arm the signal
- Eligibility / pre-qualification engine · confirm the soft pre-qual result and the indicative limit and rate
- Outbound messaging · place a compliant voice, SMS, or email touch with the pre-qualification and next step
- Loan origination / deposit-opening system · hand the interested customer into the lender's own application flow
- CRM and customer memory · log the outcome, set a cool-down, and record products held and offers declined
What you need
The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.
Signals
eligibility and pre-qualification flags from the credit/risk engine; core-banking events (income inflows, balance thresholds, product usage).
Data
products held, indicative limits and rates, suitability and consent state, contact details and preferred channel, customer memory of prior offers and declines.
Guardrails
suitability and regulated-communications rules enforced before any offer is composed; pre-qualification framed as indicative and soft-check only, never a binding offer; the credit decision and account-opening stay in the lender's own system; consent, quiet hours, and frequency caps respected; judge review of every unprompted message; the lender keeps owning the send channels.
Metrics it moves
- conversion-rateup: qualifying customers act on an offer reaching them at the signal moment instead of one buried in a report.
- application-completionup: most details are pre-filled and the blocking questions are answered before the customer enters the application.
- revenue-per-conversationup: each outbound pre-qualification ties to an attributable, funded product rather than an unmeasured campaign send.
Related use cases
Abandoned-application completion outreach
recovers an application the customer already started, rather than originating one
Banking product cross-sell from account signals
the in-session counterpart that surfaces products inside the app
Lending application completion outreach
what catches the borrower if they stall inside the application
See it on your own customer journey
Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.
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