AI Witness Statement Collection
Adaptive interview questioning that guides witnesses based on context, ensuring no critical details are missed.
Haven analyzes initial inputs and dynamically generates follow-up questions based on industry best practices and incident-specific context.
Multi-Format Ingestion and Processing
Seamlessly capture audio recordings, photographs, documents, and structured data in one unified workflow.
AI-powered processing converts unstructured witness statements, audio, and images into structured, searchable evidence.
Standardized Timeline Reconstruction
Extracts events, facts, and conditions automatically, reducing investigator workload and ensuring consistency.
Built-in validation ensures completeness and flags any missing information and inconsistencies before the investigation proceeds.
HavenEDGE goes beyond surface-level RCA with AI-assisted reasoning, uncovering the true root causes and delivering corrective actions that actually prevent recurrence.
Five-Whys
Trace incidents back to their source. Customize or add your own 'whys' for unparalleled insight.
AI generates potential 'whys' with confidence levels and missing data, accelerating your investigation.
Fishbone / 6Ms
Visually map cause and effect with an interactive fishbone analysis. AI streamlines categorized root causes.
AI suggests potential causes, streamlining your analysis and revealing hidden relationships.
Multi-Threaded
Branching logic lets you explore multiple lines of inquiry simultaneously. Uncover complex relationships with ease.
For complex investigations, AI generates potential threads of logic, guiding the investigator through the process.
AI Recommended Corrective and Preventive Actions
Haven produces CAPA by synthesizing investigation findings into structured, decision-ready actions grounded in the Hierarchy of Controls, ensuring recommendations prioritize elimination, substitution, and engineering solutions.
Corrective actions are mapped to organization-specific CAPA categories, aligned to existing programs, ownership models, and governance structures
In addition to recommending Corrective Actions, Haven predicts expected risk reduction and implementation effort, enabling leaders to compare options, prioritize investment, and understand tradeoffs.
IN BETA
HavenIMPACT uses advanced pattern recognition and predictive analytics to identify emerging risks and systemic vulnerabilities across the organization, before they result in incidents.
SIF Precursor Detection
Trend Identification
Cross-site Pattern Clustering
System-Wide CAPA Recommendations
Early Warning Signals
Safety Strategy Optimization
Manufacturing
Utilities
Warehousing & Logistics
Construction
Transportation
Oil & Gas
Food Processing
Government
See Haven in Action
Schedule a personalized demonstration with our solution architects. See how Haven's AI-native platform transforms reactive reporting into proactive prevention.