Autonomous shuttles, delivery robots, connected fleets. Each vehicle is a remote asset requiring real-time monitoring, anomaly detection, and fail-safe orchestration. This is satellite operations on wheels.
You've built the autonomy stack. Now you need the operational engineering to run it safely at scale. The gap between demo and deployment is an operations problem, not a technology problem.
The safety case covers the vehicle software. Nobody has modelled how the operations centre handles a fleet-wide anomaly at 3am. The human factors are the weakest link in the safety chain.
Remote operators managing 2-3 vehicles each. Your business model requires 1:50 ratios. The path from here to there isn't more screens — it's operational architecture that changes the paradigm.
A vehicle stops in traffic. Who gets notified? In what order? What's the decision tree? How long until intervention? Most AV companies improvise this. In aerospace, it's engineered.
You know if a vehicle is driving. You don't know if its LiDAR calibration is drifting, its compute temperatures are trending up, or its localisation confidence is degrading. Reactive maintenance in a safety-critical system.
Operational Design Domain boundaries are defined per vehicle. Nobody has the operational tooling to manage ODD compliance across 500 vehicles in 12 cities with different weather, regulations, and road conditions simultaneously.
EU and national regulations require demonstration of operational safety management. Your engineering team built the tech. Who designs the operational safety management system the regulator wants to see?
"Every vehicle is a node in a distributed system. Real-time telemetry, autonomous decision-making, human escalation paths, fleet-wide anomaly correlation. That's exactly how we operate satellite constellations."
Concrete operational engineering engagements adapted from aerospace mission operations to autonomous vehicle fleet operations.
Design the operational architecture for a scalable fleet operations centre. Display topology, alert hierarchy, operator workflows, shift handover procedures, and the information architecture that lets one operator safely oversee 50+ vehicles. Based on satellite ground station design patterns.
Operator-to-vehicle ratio improved from 1:3 to 1:20 with maintained safety levels
Build the operational safety management system that complements your vehicle safety case. Map operational failure modes, define safety-critical procedures, design human factors mitigations, and create the documentation framework regulators require for deployment approval.
Operational safety case accepted by national transport authority
Design the end-to-end anomaly detection, classification, and response system for fleet operations. From vehicle-level sensor anomalies to fleet-wide correlated events. Define automatic interventions, human escalation triggers, and graceful degradation modes.
Mean time to safe state reduced from 45s to 8s for critical anomalies
Design the transition from direct teleoperation to supervisory control. Define autonomy levels per operational scenario, intervention triggers, authority transfer protocols, and the monitoring architecture that enables safe human-on-the-loop oversight at fleet scale.
Teleops cost per vehicle-hour reduced 70% while maintaining safety KPIs
Design the fleet health monitoring system: vehicle subsystem telemetry aggregation, health scoring algorithms, degradation trend detection, and predictive maintenance triggers. The same approach used for satellite subsystem monitoring, applied to vehicle fleets.
Preventive interventions increased 300%, roadside failures reduced 55%
Every engagement follows the same structured methodology, adapted from aerospace mission assurance processes.
Structured assessment using the MCRF framework across all six reliability pillars. Map your current operational maturity, identify critical gaps, and score against industry benchmarks. 2-3 weeks.
Design the target operational architecture: monitoring topology, incident response flows, automation boundaries, team structure, and tool requirements. Prioritised implementation roadmap. 2-4 weeks.
Hands-on implementation of operational processes, runbooks, dashboards, and team workflows. Training, game days, and operational reviews until the team runs independently. 1-3 months.
We work with companies deploying autonomous or connected vehicles where operational safety and fleet scaling are the critical path to commercial viability.
A structured conversation about where your operational maturity stands — and what it would take to reach mission-critical reliability.
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