Systematically evaluate complex decisions by structuring options, criteria, and outcomes. Supports frameworks like weighted criteria, decision trees, and scenario analysis to enhance rational decision-making.
Transform decision data into structured Architectural Decision Records (ADRs) using customizable templates, supporting clear documentation and references.
An LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.
Enables AI assistants to access and execute automated decision services from IBM Decision Intelligence or IBM Automation Decision Services. It exposes deployed decision operations as tools for platforms like Claude Desktop and IBM watsonx Orchestrate.