SaaSberry developed Kai, a specialized AI assistant that helps superintendents at industrial/construction/marine sites to create accurate, compliant, and thorough incident reports. Trained on company procedures, maritime regulations, and past case archives, Kai guides superintendents step-by-step, validates reports against provincial/state and federal safety requirements, and suggests best practices to improve documentation quality.
It uses advanced AI models, integrates voice and photo input, and ensures all data remains secure within Azure’s environment, with strict privacy and compliance measures.
Shipping superintendents face constant pressure to document incidents accurately, comply with complex regulatory frameworks, and coordinate with multiple stakeholders under tight timelines. SaaSberry addressed this by deploying a custom Azure-based agentic AI solution: Kai, a digital assistant trained specifically for industrial incident management specific to a company’s jurisdiction.
When a superintendent engages with Kai, they can upload photos, dictate voice descriptions, or type details of the incident. The system references a company’s internal documentation, jurisdiction requirements, work safety guidelines, and other relevant regulations to guide the superintendent through every required step.
Kai validates each report for completeness and compliance, flags missing or inconsistent details, and provides evidence-based recommendations from archived incident reports. It can export a polished, regulation-ready incident report and re-run validation checks based on a company’s Standard Operating Procedures to ensure nothing is overlooked.
All data—descriptions, images, voice notes—remains securely stored within Azure’s environment, never shared with public AI training data. As a result, a company can produce higher-quality reports faster, reduce administrative burden, and strengthen safety and compliance across operations.