Fleet Maintenance Orchestrator Digital Worker

Core Logic

Manages the execution pipeline across all agents, distributes tasks based on the orchestration pattern (sequential, parallel, hierarchical, or swarm), aggregates results, resolves conflicts, and ensures consensus thresholds are met before finalizing recommendations. Tracks agent performance metrics and adjusts resource allocation.

Core Logic

Connects to telemetry sources including CAN Bus, GPS trackers, OBD-II ports, TPMS sensors, fuel systems, and brake sensors. Normalizes data formats, validates readings against expected ranges, identifies missing data patterns, and maintains the streaming data pipeline for downstream agents.

Core Logic

Applies ensemble ML models—Isolation Forest for outlier detection, LSTM Autoencoder for temporal anomalies, and One-Class SVM for deviation scoring. Correlates anomalies across sensors to identify potential failure modes. Generates confidence-scored alerts with supporting evidence from multiple model perspectives.

Core Logic

Integrates weather forecast APIs to correlate environmental conditions with vehicle stress factors. Identifies weather-driven maintenance acceleration (salt exposure, extreme temperatures, humidity). Adjusts maintenance urgency based on upcoming weather conditions affecting fleet operations.

Core Logic

Evaluates all identified issues against safety criticality criteria including brake performance, tire condition, steering components, and lighting systems. Generates safety scores, flags critical items requiring immediate attention, and ensures compliance with DOT and regulatory safety standards.

Core Logic

Performs Monte Carlo simulations to quantify failure probability distributions. Calculates expected cost impacts under different maintenance timing scenarios. Generates risk-adjusted recommendations with confidence intervals and identifies optimal intervention points.

Core Logic

Tracks carbon footprint metrics, identifies opportunities for emission reduction through maintenance optimization. Evaluates EV fleet integration opportunities, optimizes green routing, and generates ESG compliance reports. Monitors progress toward sustainability targets.

Core Logic

Generates optimized maintenance schedules considering workshop capacity, parts availability, vehicle utilization patterns, and delivery commitments. Implements priority queuing, suggests maintenance bundling opportunities, and minimizes fleet downtime through intelligent scheduling.

Core Logic

Maintains cost models for all maintenance activities including parts, labor, and opportunity costs. Calculates ROI for preventive vs. reactive maintenance strategies. Generates budget forecasts and identifies cost optimization opportunities without compromising reliability.

Core Logic

Aggregates findings from all specialist agents, resolves conflicting recommendations through weighted consensus, and generates final maintenance plans with chain-of-thought reasoning transparency. Produces executive summaries with confidence scores and alternative options.

Core Logic

Generates role-appropriate reports—technical details for mechanics, summary dashboards for fleet managers, financial impacts for executives. Manages notification workflows for urgent issues and produces compliance documentation for regulatory requirements.

Core Logic

Tracks prediction accuracy against actual maintenance outcomes. Identifies model drift and triggers retraining when performance degrades. Incorporates feedback from technicians and adjusts risk models based on real-world repair data. Maintains agent memory for improved future predictions.