What problem does it solve?
Generic AI produces generic, regulator-rejectable driver fatigue paperwork: vague controls, uncomputed hours-of-service (HOS) claims, no de-identification of sensitive driver medical data, and "stay alert" briefings treated as primary controls instead of schedule/roster redesign.
Core Features & Use Cases
- Deterministic HOS Compliance: Computes FMCSA 49 CFR 395 and EU 561/2006 compliance flags from real driver duty logs, never narrates pass/fail results, and keeps them strictly separate from the advisory fatigue index.
- Roster-First Control Ranking: Leads all assessments with schedule/roster redesign and Fatigue Risk Management System (FRMS) built-in rest, flags "stay alert" briefings or in-cab fatigue gadgets as lower-order administrative/engineering backstops, never the headline control.
- Highest-Tier Data Protection: Automatically pseudonymizes driver names, CDL/license numbers, DOT medical/OSA data, and suppresses small fatigue-event cells to protect sensitive occupational health information.
- Use Case: Use this for fleet-specific driver fatigue assessments, HOS compliance checks against real duty logs, FRMS design for long-haul, night-trunk, or passenger transport fleets, and transport roster reviews across US, EU, UK, and Indian jurisdictions.
Quick Start
Use the driver-fatigue-management skill to assess your named fleet's driver fatigue compliance by providing the operation details, jurisdiction, and real driver duty log when prompted.