"What financial institutions have is a tremendous amount of data, far richer than any social media company out there. But it is not being harnessed effectively to predict financial needs and serve consumers," said Uday Akkaraju, founder and CEO of BOND.AI. "The challenge for financial institutions is dealing with legacy systems and finding ways to leverage their valuable data together with modern technology."
BOND.AI's platform directly integrates with banks' core software platforms and analyzes banking data to address various consumer and banking needs.
It takes into consideration an array of parameters such as a user's credit and debit card transactions, loyalty, assets and more. External data such as capital markets performance, inflation and social media data are also considered, as well as the bank's internal processes and requirements. These inputs are synthesized into various artificial intelligence modules like recommendations, automated goal management, loyalty, asset management, prospecting etc.
One of the platform's most unique modules, the omni-channel conversational intelligence, allows BOND.AI to understand the needs of an individual consumer. This interaction occurs between the bank and consumer through any existing voice or text channels, such as Amazon Alexa, Google Home, Apple Siri or SMS.
BOND.AI's proprietary algorithms holistically analyze the data in context to the conversational intelligence data to calibrate intangible perceptions, behaviors, interests, limitations, potential and aspirations to empathize with consumers, which we refer to as the 'empathy engine', explains Akkaraju. Understanding the user is everything and the empathy engine becomes integral to BOND.AI's singular intelligence.
Any bank can easily plug-in and take advantage of the power of BOND.AI's intelligence and its modules. Banks and financial institutions can also build additional modules on top of its platform, making it an infinitely scalable, end-to-end financial intelligence solution.
