AI Rule Engine

The Rule Engine transforms complex business logic into structured, auditable workflows that external agents can securely trigger. Key capabilities include: • Governed access for diverse external agents • Precise permission control for each agent • Integration of multiple descriptive models within rules • Built-in human review and approval steps • Comprehensive logging and audit trails for every execution This platform enables organizations to expose their operational logic through the Model Context Protocol (MCP), ensuring that agents like Claude, Cursor, and ChatGPT operate within predefined boundaries. Each agent receives a unique token, limiting its access to only the specific rulesets, files, and logs permitted, thereby enhancing security and control. The system supports various descriptive models from providers such as Anthropic, OpenAI, Azure OpenAI, Gemini, and xAI, allowing users to select the optimal model for each step while maintaining deterministic and auditable rule execution. Designed for environments where predictability and oversight are paramount, the Rule Engine ensures that critical decisions can always involve human validation. Workflows can be paused for review, enabling teams to approve significant actions before they are executed. Deployment occurs within your own cloud tenant, guaranteeing that all prompts and data remain within your controlled environment. This approach is ideal for enterprises and teams requiring robust governance, security, and traceability over their operational processes.