Abstract: A blackboard data store contains records representing a plurality of AI agent operation results associated with the system (including an operation identifier). A decision support platform, coupled to the blackboard data store and being associated with at least one LLM, may receive a decision support request from a user associated with the system and determine a series of operations associated with the decision support request. A coordination agent may arrange for the series of operations to be performed by a plurality of AI agents, with operation results being recorded in the blackboard data store. Decision support information can then be presented to the user in response to the decision support request. According to some embodiments, the plurality of AI agents include a question planning and analysis agent, a research agent a decision option suggestion agent, a decision option evaluation agent, a critique agent, and/or a decision presentation agent.

Abstract: Methods and systems are disclosed for database management with controlling documents. Tasks addressed include: identification of requirements in the documents, tracking changes as documents evolve, mapping documents or requirements to database entries, identifying gaps between documents and the database, and proposing database updates. Disclosed embodiments address these tasks using a combination of sequential program logic, machine-learning tools, and client interaction. Workflows address one or more tasks. Examples pertaining to regulatory documents are presented. Variations are disclosed.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for calculating an available balance amount for allocation to a user. A request from a user for an advance payment associated with a requested period of time is received by a platform service. The platform service is integrated with a plurality of systems storing data for employees of an enterprise. The requested period of time includes working days of the user. The user is identified as an employee of the enterprise in at least one of the plurality of systems. In response to the received request, an available balance amount that can be allocated to the user for the requested period of time is calculated. Calculating the available balance amount comprises determining data associated with the requested period of time to provide a base for calculating the available balance amount.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for calculating an available balance amount for allocation to a user. A request from a user for an advance payment associated with a requested period of time is received by a platform service. The platform service is integrated with a plurality of systems storing data for employees of an enterprise. The requested period of time includes working days of the user. The user is identified as an employee of the enterprise in at least one of the plurality of systems. In response to the received request, an available balance amount that can be allocated to the user for the requested period of time is calculated. Calculating the available balance amount comprises determining data associated with the requested period of time to provide a base for calculating the available balance amount.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for determining an acceptable amount for allocation to a requestor. A request from a requestor is received at a cloud platform service. The cloud platform service is integrated with a plurality of systems storing data for employees of an enterprise. A real time estimation of an acceptable amount to be allocated to the requestor is provided by the cloud platform service. Providing the real time estimate comprises identifying the requestor at an employee record stored at the plurality of systems. Data from at least one of the plurality of systems is acquired in relation to the requestor. The data defines performed work tasks, compensation and eligible benefits that are to be monetized. An acceptable amount is determined by evaluating the acquired data according to a predictive model at the cloud platform service and according to processing rules.