07/21/2025 | Press release | Distributed by Public on 07/21/2025 16:40
Consumers expect more than convenience from their banking experience-they expect relevance. Whether it's Netflix recommending your next show or Amazon anticipating a reorder, people have grown accustomed to personalized digital journeys. In banking, it's no longer a luxury-it's a conversion strategy.
Srini Venkataramani, Blend's Head of Product, explains how AI is reshaping personalization from surface-level targeting to predictive engagement that drives real results.
"Every household has about $315K in home equity. With our rapid lending product, banks can help customers consolidate debt and save $1,000s in minutes."
- Srini Venkataramani, Blend
Traditional banks often send generic offers-open a new account, get a gift card. But customers who are already juggling multiple products need relevance, not repetition. Personalization at scale requires AI to pull insights from both structured and unstructured data, then serve up offers that actually fit.
Imagine this:
Many banks struggle not because they lack data-but because their systems don't talk to each other. Srini highlights that critical income and transaction info often live in separate silos, preventing a unified view of the customer. AI needs that full picture to personalize at scale.
Blend's unified platform connects deposit, lending, and credit products-so AI can act on real-time behaviors and document insights. Clients are already using generative AI to surface personalized offers at the moment of transaction-helping to cross-sell and deepen the customer relationship.