Abstract: A management platform may provide client templates for clients to perform financial transactions using data populated in the client templates. First data in a first client template for a first client may change. The template automation artificial intelligence (AI) engine may update the first data to second data where the first data is from a third party and the AI engine detects a change in the third-party data. The AI engine may automatically update the first data to the second data in other client templates for other clients, where the first data is included in the one or more of the other client templates. The management platform may provide multiple payee templates used by a payee to track payments from payors. The AI engine may merge the payee templates into a combined payee template, which may optimize client interaction or efficiency.

Abstract: Systems and methods for automatically directing actions of an entity for transactions. The method may include receiving, at a GPU, a request to complete a transaction. The GPU may run an AI model to automatically direct actions of the entity by gathering entity-focused factors and regional factors for use in determining which accounts to use to complete the transaction that minimize resource consumption and maximize fluidity of the accounts. Entity-focused factors may include accounts available, account balances, timing of the transaction, currency of each account, currency requirements for the transaction, predetermined fluidity thresholds, and/or resource consumption of the transaction. Regional factors may relate to purchasing power parity between currency choices, relative economic strength of the regions issuing the currency choices, and/or economic modeling of the regions.

Abstract: Methods for adaptively autogenerating a set of requests and pushing an output to a user portal is provided. Methods may include obtaining requests executed on a digital platform from a plurality of user portals and tagging each request with a user access level. Methods may include in response to the determining of a change from a first access level of a user to a second access level, generating a set of requests associated with the second user access level. Methods may include generating a subset of requests that include a request frequency that exceeds a predetermined request frequency and a timestamp being within a predetermined time range. Methods may include re-executing the requests at predetermined intervals and storing an output in a temporary cache. In response to a login at the user portal, automatically pushing, via an API, the output in the temporary cache to the user portal.