Artificial Intelligence
Artificial intelligence
InRule uses AI to make rules and business processes transparent, auditable, and compliant with enterprise and regulatory standards.
Explain and audit with AI
Enterprises face compliance risk and audit delays when rules or business processes are difficult to explain or trace. InRule applies AI to illuminate decision and process paths, making automation transparent, auditable, and aligned with internal policies and external regulations.
Integrated decision workflows
Apply AI alongside rules and processes to keep outcomes transparent and under control.
Guardrails for compliance
Use deterministic rules to govern AI-supported explanations and ensure alignment with policy.
Continuous explainability
Provide feature-level insights and traces so both rules and processes are always explainable to people and systems.
With manual ways of working you’re bound to miss steps. InRule helps ensure full compliance.
– Regulatory Affairs & Compliance Manager, Toi Toys (manufacturing and international trade)
Making automation transparent with AI
Capture automation paths
InRule records rule and process execution flows to make them available for AI-driven analysis.
Apply AI explanations
AI highlights key factors and paths, showing how rules and processes produce outcomes.
Provide transparent outputs
Explanations are delivered visually for stakeholders and programmatically through APIs for systems and audits.
Support compliance reviews
Audit-ready traces and AI-supported insights help teams demonstrate compliance with internal policies and external regulations.
Understand rules
Make AI-driven outcomes explainable
Visual and programmatic traces reveal how predictions shape decisions.
Every prediction and its role in a decision path is captured and reviewable, supporting internal reviews and external audits.
Meet regulations
Improve results with continuous learning and regulatory oversight
Monitoring, testing, and documentation maintain performance under regulation.
Versioning, drift detection, and explainability guide safe iteration so models evolve without compromising control or compliance.
Rule consistency
Operationalize predictive intelligence
Models run inside governed decision flows.
Embedded within rules and processes, predictions are transparent, auditable, and aligned to objectives so they are ready for production use.
Rule efficacy
Combine rules with machine learning
Deterministic rules govern the models to comply with policy.
Hybrid decisioning lets predictions inform outcomes while preserving explainability and human oversight where needed.
Resources
Explore the platform in action
Explore real-world examples of how organizations use InRule to unify rules, processes, and data. Read articles, watch webinars, and access expert insights on building transparent, adaptable automation.
