In an increasingly complex world, businesses and administrations face the challenge of implementing extensive rule sets efficiently. Traditional approaches often fall short: they are too slow, too rigid, and unable to process the multitude of rules and data in real-time. Rulemapping offers an innovative and proven solution to automate decision-making processes efficiently. The methodology visualizes even complex rule sets as decision trees that are both logically comprehensible and machine-readable. This establishes Rulemapping as a foundation for transparent and rule-compliant decision structures that can flexibly adapt to changing requirements.
White Paper: Efficient Decision-Making Processes with Rulemapping and Rule-Based AI
October 14, 2024
Ina Remmers

Rulemapping plays a pivotal role in digital legislation and the automation of decision-making processes. It enables the precise mapping and visual representation of deterministic rules, allowing complex rule structures to be designed in a comprehensible and consistent manner. This makes Rulemapping particularly suitable for managing legal norms, as it is grounded in legal logic and provides a clearer structure and better adaptability compared to traditional methods like BPMN and DMN.
Today, Rulemapping is already being used in digital legislation to make laws machine-readable and flexible. The Rulemapping Automation Platform takes the digitization of rule-based decision processes to the next level. As a no-code suite, the platform enables the complete automation of workflows powered by Rulemaps. These workflows can be seamlessly integrated into existing systems and flexibly adjusted to accommodate changing rule sets.
A standout feature of the platform is its use of Rule Based AI, which combines deterministic rules with probabilistic Large Language Models (LLMs) to process unstructured data at scale. Automated decisions are prepared in compliance with rules and validated through a "Human-in-the-Loop" process, ensuring the highest levels of transparency and traceability. The platform documents every decision with meta-information, resulting in logical and auditable outcomes.
By combining Rulemapping and Rule Based AI, the automation of decision-making processes becomes not only more efficient but also significantly more reliable. This makes Rulemapping a key technology for businesses and administrations seeking to meet the challenges of digital transformation while establishing transparent, rule-compliant, and future-ready processes.
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