BIAN APIs

Banking Industry Architecture Network (BIAN) is an organization set up to establish and promote a common architectural framework for enabling banking interoperability.

This service domain handles the bank-side processing of funds transfers, making the necessary bank and regulatory checks on the involved parties and applying their payment preferences where appropriate

This service domains processes the movement of funds between accounts within the bank or to/from an account held with another bank, selecting the appropriate payment mechanism

This service domain orchestrates the activities related to Merchant fulfillment, Merchant Account maintenance, Merchant transactional activities and settlement, including the billing of merchant fees and charges

This service domain maintains details of the legal entity structure of the party including dependents and associations for individuals and ownership/subsidiary structures for corporations.

This service domain maintains and administers the bank's credit assessment for customers based on consolidated internal data and optionally by referencing external credit agency reports

This service domain captures, classifies and stores relationship, servicing and product fulfillment related customer events. In addition to servicing and product transaction details, the log can capture life/relationship events that are revealed during customer exchanges.

This service domain maintains a range customer relationship reference information covering aspects including general reference details, contacts and associations and demographic information.

This service domain develops and executes a customer plan to maintain and build a customer relationship. Activities include ongoing customer contact, tracking internal and external events and activity of interest and relevance, product and service matching and sales, processing ad-hoc queries.

This service domain develops and maintains a portfolio of fraud detection models. It support the use of these models in different production contexts and refines the models in response to new and changing exposures