
Expanding offering
Bill.com, an integrated bill payment, invoicing, and cash management solutions provider, has added broad integration capabilities to its cash-flow centric banking platform for banks and SMBs (view press release). The firm enables banks to develop revenue streams and offer business customers an accounts payable and account receivable service.
Customers can integrate Bill.com’s solution with their own platforms and create a branded offering. The platform is based on six key components, and Bill.com has enabled API access to each of these components. The components include authentication, entitlements, business objects, business systems integration, payment processing and a payment network.
“Bill.com has already revolutionized how small and mid-sized businesses work and now we are transforming how they bank,” said Rene Lacert, founder and CEO of Bill.com. “We built the Bill.com Banking Platform based on direct feedback from banks, who told us that their current systems just couldn’t meet their business customers’ needs. We are glad to be helping banks turn the old banking paradigm on its ear, by making banking solutions cash flow centric. The result will be banking solutions that work the way businesses do.”
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more