Programmable Payment State Machines for Dynamic Liquidity Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack efficient and dynamic methods for programmable payments that can automate banking operations and respond to real-time market changes, leading to inefficiencies and trapped liquidity during downtime.
Innovation Solution
Implementing state machine-driven programmable payments using base state machines, triggers, conditions, and actions defined by users, which are dynamically linked and instantiated to execute payment instructions, enabling intelligent automation and responsive banking processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional payment systems are used, then system simplicity is maintained, but automation capability and responsiveness to market changes are insufficient
Solution Approach 1:
The system segments payment operations into distinct state machines (deposit state machine, withdraw state machine, transfer state machine), each handling specific payment functions. This segmentation enables automated execution of specific payment tasks while maintaining overall system manageability through modular architecture.
Solution Approach 2:
The state machines are configured with predefined triggers, conditions, and actions that enable them to execute payment operations autonomously without continuous human intervention. The system self-manages payment workflows by automatically detecting triggers (such as account credits or debits) and executing corresponding actions based on configured conditions.
2Productivity
If manual payment processing is used, then system complexity is low, but transaction speed and settlement time are slow
Solution Approach 1:
The system performs preliminary configuration of payment rules, triggers, conditions, and actions before actual payment processing occurs. State machines are pre-programmed with business logic and payment parameters, enabling rapid automated execution when triggers occur, thus increasing transaction speed without requiring complex real-time decision-making.
Solution Approach 2:
The system replaces manual mechanical payment processing with automated electronic state machine execution. The automated state machines electronically detect triggers, evaluate conditions, and execute payment actions without human intervention, significantly increasing transaction processing speed while managing complexity through standardized automation protocols.
3Adaptability or versatility
If static payment rules are used, then system simplicity is maintained, but adaptability to market changes is poor
Solution Approach 1:
The system employs dynamic state machine configurations where triggers, conditions, and actions can be modified based on changing market conditions and business requirements. The state machines can detect various trigger types (event-based, time-based) and execute different actions based on current conditions, enabling the system to adapt to market changes while maintaining a structured framework.
Solution Approach 2:
The state machine architecture provides universal functionality for handling multiple payment types (deposits, withdrawals, transfers) through a single configurable framework. The same state machine structure can be applied across different payment scenarios by changing the configured triggers, conditions, and actions, thereby providing adaptability without requiring separate systems for each payment type.
4Productivity
If automated payment systems are implemented, then transaction efficiency is improved, but liquidity management complexity increases
Solution Approach 1:
The state machine system incorporates feedback mechanisms where payment actions are triggered by detected events (such as account credits or debits). The system continuously monitors account states, detects relevant events, and automatically executes payment actions based on configured conditions, creating a closed-loop feedback system that improves transaction efficiency while managing liquidity through automated responses to actual account conditions.
Data Source
AI summary
Systems and methods for state machine driven programmable payments are disclosed. A method may include: defining a plurality of base state machines; storing definitions for the plurality of base state machines; receiving, via a user interface, a programmable payment instruction (“PPI”) from a user comprising a PPI definition of a PPI trigger, a PPI condition, and a PPI action; dynamically linking a state in one of the plurality of base state machines to the PPI definition; storing the PPI definitions; receiving a payment instruction; identifying, from the payment instruction, a base state machine and the PPI instruction linked to the payment instruction; creating a PPI-specific state machine definition for the PPI instruction linked to the payment instruction; and instantiating a PPI-specific state machine for the PPI-specific state machine definitions. The PPI-specific state machine calls one of the plurality of base state machines to execute portions of the payment instruction.