About this use case
Existing borrowers are the best prospects for the next product, but the moment to reach out is buried in the CRM: a car loan with six payments left, a mortgage that has built up equity, a business line that is nearly maxed out. Lenders rarely have time to go through their book account by account, so the moment passes and the customer goes elsewhere.
An AI assistant can review a spreadsheet of borrowers exported from the CRM, against the list of products the institution wants to promote, and return a prioritized list: the next product to offer, why now, the best touchpoint, and talking points for the conversation. Lenders call when a borrower is ready, and growth comes from customers the institution already has.
An auto borrower with six payments left is offered a high-yield savings account and a pre-approval for the next vehicle; a homeowner whose loan-to-value has fallen below 60% hears about the HELOC promotion at the annual escrow review; a business whose line utilization has climbed to 85% gets a line increase review ahead of renewal.
Documents to consider
- CRM exports (CSV or Excel)
- Products held and balances
- Rates and maturity dates
- Payment history
- Current offers and promotions
- Contact preferences and opt-outs
The prompt
Written to be pasted straight into your AI assistant, with the documents it asks for attached. Request access below and we’ll send it over.
Files
Nothing to download here. This prompt runs against your own institution’s material — the documents it lists above.
