Business Problem

Ensuring compliance with safety regulations and company policies in high-risk operations—such as manufacturing, healthcare, or energy—is critical but often complex. Frontline workers spend excessive time searching for safety guidelines or relevant compliance documentation, leading to delays, errors, and potential safety risks. Meanwhile, management struggles to integrate real-time operational data with regulatory requirements, hindering proactive decision-making and increasing the risk of non-compliance and operational disruptions. during high-stakes or large-scale emergencies.

Diwo Solution

Diwo Catalyst applies Decision Intelligence to optimize compliance management across safety regulations, health standards, and operational policies. By analyzing both structured and unstructured data from sources like safety guidelines, incident reports, equipment conditions, and environmental factors, Diwo:

• Delivers on-demand, context-specific compliance and safety information to workers and managers

• Integrates real-time factors with safety policies and guidelines to support informed decision-making

• Provides proactive recommendations, such as the right safety equipment and procedures based on job conditions

• Uses a Semantic Knowledge Graph to understand nuanced policy adherence and continuously learn from past incidents

• Enhances risk mitigation efforts through real-time, AI-driven insights tailored to specific roles and operational contexts

Business Impact

• Enhanced Safety Compliance: Ensures workers have the right safety guidelines and equipment at all times

• Reduced Compliance Risks: Proactive risk mitigation and adherence to industry regulations

• Improved Operational Efficiency: Eliminates the time spent searching for documentation and supports quick decision-making

• Informed, Real-Time Decisions: Facilitates both frontline workers and management in making data-driven, compliance-centric choices

• Continuous Learning & Improvement: Diwo continuously adapts to evolving safety regulations, industry best practices, and operational challenges