AI Orchestration Layer for Safety & Compliance Workflows
SafetyFlow sits above existing systems as an AI orchestration layer, using operational job data to automate SWMS, permits, safety checks and related compliance workflows across fragmented field operations.
Safety compliance in construction, facilities management and trade services is still highly manual. The same operational data is repeatedly entered across multiple documents and systems, creating duplication, delays and unnecessary administrative overhead.
Regulatory requirements demand site-specific, actionable and actively managed safety controls. Yet most businesses still rely on static documents and disconnected tools. SafetyFlow is designed to bridge that gap by turning operational job data into a live compliance workflow.
Rather than adding another standalone safety product, SafetyFlow acts as the intelligence and orchestration layer above the existing ecosystem.
SafetyFlow uses the job and site context as an Operational Data Spine. The agent interprets the work context, understands compliance requirements, reasons about risk, and then coordinates the required tasks across existing platforms.
Interpret job context, understand compliance requirements and reason about risk.
Generate SWMS, complete forms, submit permits, update systems, sequence tasks and trigger downstream workflows.
SafetyFlow is intended to work across the current ecosystem rather than replace it. That includes:
This means compliance can be embedded into operational execution, with outputs written back to the systems of record already used by the business.
Actively developing the MVP in collaboration with a real-world operator. Current work is focused on refining the architecture, validating end-to-end workflows, and progressing toward initial pilot deployment.
Scott Caulfield
neoVu
scott@neovu.com.au