Safety That Runs Itself – AI-Driven Risk Detection and Coaching

What it is:
An AI-driven, self-sustaining safety system that automatically detects risky driving behaviors, delivers coaching, and measures improvement to create safer fleets.

Why it matters:

• Reduces risky driving events while increasing driver engagement and improving behaviors through structured, actionable coaching.

• Saves manager time on safety administration and provides measurable ROI and progress tracking across the fleet.
  
  

Who it’s for:
Fleet managers and drivers looking for automated, data-driven safety improvement and consistent behavioral coaching.

The process follows a structured cycle built around five key stages:

• Detect: Establish intelligent, default safety rules within the system that can be automatically enabled and fine-tuned based on customer preferences.

• Diagnose: The Safety AI Engine analyzes driving data and outputs one specific, high-impact insight per driver per week, guiding precise next-best actions.

• Coach: Each driver receives one insight, one actionable ask, and one incentive through short, non-intrusive audio or in-app prompts designed to be clear, quick, and motivational.

• Prove: Fleet managers gain full visibility into who was coached, what improvements occurred, and what actions remain pending, ensuring accountability and measurable progress.

• Reward: Drivers are recognized through a points-based system for consistent engagement and behavioral improvement, while managers receive weekly recognition digests showcasing top performers and progress metrics.

The system operates on a structured cadence designed for ongoing engagement and accountability:

• Daily: Drivers receive a micro-feed with their top 1–2 behaviors and a short improvement tip, while managers view a critical event summary and a list of ignored coaching prompts.

• Weekly: Drivers get a 15-second performance recap including their streak progress and a single new goal (“ask”), while managers receive a digest summarizing coaching coverage, top improvers, risk hotspots, and three recommended actions.

• Monthly: Managers are provided with a trend report and ROI summary, along with a team recognition list highlighting high-performing and consistently improving drivers.

This roadmap represents a shift from reactive safety management to proactive, automated improvement, ensuring every mile driven is smarter, safer, and supported by actionable insights. Through automation, data intelligence, and behavior-based recognition, safety begins to run itself—empowering drivers, managers, and organizations alike.