RapidGen has many decades of experience providing decision automation software. It offers a suite of tools for intelligent decision automation, the Genius Suite, which has been used in a variety of business-critical applications in various business domains, including a Manufacturing Execution System (MES) for aircraft assembly, mobile phone billing, finance, healthcare and government.

RapidGen also offers software tools designed to work with DMN:

• A highly performant execution engine, able to compile and execute models from any vendor modeling tool compliant with the DMN standard
• A Test Data Generator (TDG) which automates the production of a wide variety of test data for any DMN model. It can read a DMN model and generate a relevant test set of a specified size and data distribution.

Ritchie McGladdery, Founder and CEO of London-based RapidGen, says that “RapidGen has chosen to align with the Decision Model and Notation (DMN) standard as it is a global open standard supported by a variety of vendors of different sizes and a growing number of practitioners. It offers a community of good practice and a powerful framework for the safe integration of AI. DMN’s interoperability allows users to explore intelligent decision automation without vendor lock-in.”

About the RapidGen Decision Execution Engine

RapidGen offers users of DMN modeling tools a powerful execution engine that can optimize the execution speed of complex logic at scale. The engine:

• Accepts XML output from any DMN Modeling Tool which is conformant with the DMN standard.
• Supports high-speed execution by compiling models into machine code (not bytecode).
• Checks the integrity of DMN models to ensure self-consistency and reliability.
• Scales powerfully.
• Handles complex logic and ensures outcomes are repeatable and accountable.
• Provides Decision Intelligence through Integration with AI and analytic components.
• Supports Decision Insight by recording the rationale for all decisions made.

About the RapidGen Test Data Generator (TDG)

The true value of automated decisions is that they yield measurable business value over all the cases to which they can be applied and that the business understands how they deliver that value. Consequently, creating test cases, automating their use and visualizing their behavior are crucial to measuring and achieving project success.

A robust set of test cases for a decision model:

• Demonstrates to what extent the model works as intended.
• Improves lay understanding of how the model works, either as a whole or in specific cases.
• Supports the identification of any flaws in the logic.
• Measures the robustness, performance and resource requirements of the model.
• Supports visualization.
• Random test data can be generated reproducibly using seeds.

Tests are most potent when applied early, regularly and automatically. Decision tests should be periodically applied, at least daily, not at the whim of human modelers or testers. This practice ensures that the model works and informs modelers immediately if it is accidentally broken by changes. Such rapid feedback allows the team to change the decision model without the risk of setbacks or delays.

Why DMN?

RapidGen products are designed to support decision modeling and execution using DMN. RapidGen chose to align with the DMN standard as:

• It is a widely supported standard with over 20 vendors and open-source communities offering tools.
• There is a growing community of practitioners and users with commensurate growth in available skills and experience, forming a deep pool of talent. As a result, user organizations are less subject to risks of employee turnover and the departure of irreplaceable specialist knowledge.
• Decision integrity and safety have long been a priority at RapidGen. DMN’s support for preserving the integrity of decisions is central to RapidGen’s product offering, ensuring data and decision consistency and testing decision robustness.
• The standard supports the interchange of models between tools to avoid vendor lock-in. Users can select a modeling tool from one vendor and an execution engine or test suite from another, depending on their specific requirements and preferences.
• The DMN standard has been officially adopted by prominent industry groups, notably the US mortgage industry organization Furthermore, its ability to associate executable decisions with external policy documentation makes it a natural choice for implementing regulatory compliance.
• DMN is an effective means of integrating machine learning and AI into automated decision-making. As yet, no other standard offers this integration.
• DMN’s focus on cooperative development of decision-making using highly legible, transparent and accountable logic based on concepts, such as decision tables, aligns very well with RapidGen’s experience in decision development.
• RapidGen believes that orienting repeatable operational business decisions to be of service to all stakeholders will increasingly be seen as a more practical approach to building business value and satisfaction than a primarily data-centric approach.