GearBot Agents

Every machine gets a brain.
Every person gets an assistant.

GearBot Agents are autonomous AI that live with your equipment and your people. Each agent has its own memory, monitors its machine 24/7, learns patterns over time, and escalates when something needs attention.

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Fleet Agent Status · Live
408 Active 19 Idle 7 Alert
86Haul Trucks
72Excavators
58Dozers
45Loaders
38Articulated
135Other
Two Types of Agents

Equipment agents and people agents

Every machine in your fleet gets its own Equipment Agent. Every person on your team gets a User Agent. Both are always on, always learning.

⚙️

Equipment Agent

One per machine · Always watching

Each piece of equipment gets its own agent that knows its history, monitors its health, and flags issues before they become failures.

What it does
  • ✓Monitors service schedules, engine hours, telematics
  • ✓Remembers complete maintenance history
  • ✓Detects patterns (recurring faults, degrading trends)
  • ✓Flags overdue inspections and open tasks
  • ✓Alerts the right person when something needs attention
  • ✓Learns what's normal vs. abnormal for this specific machine
👤

User Agent

One per team member · Personal assistant

Every person on your team gets a personal AI assistant that knows their role, their equipment, and their priorities.

What it does
  • ✓Morning briefing: what needs attention today
  • ✓Knows your assigned equipment and open tasks
  • ✓Surfaces relevant alerts based on your role
  • ✓Answers questions about any machine in your scope
  • ✓Learns your preferences and communication style
  • ✓Proactive: reaches out when things change
Under the Hood

90% rules engine. 10% AI.
100% always watching.

Most equipment monitoring doesn't need AI — it's SQL queries, date math, and event triggers. The smart part is knowing when to escalate to AI for pattern recognition and natural language.

AI Layer
Pattern Detection Trend Analysis Natural Language Anomaly Flagging
↑ Only called when rules detect something unusual ↑
Rules Engine
Service Overdue? Task Open > 7 days? Hours Threshold? Fault Code? Inspection Due?
Data Sources
Telematics Service History Inspections Tasks Oil Samples Fault Codes
Agent Scheduled Jobs
Every 1 hourCheck engine hours against service thresholds
Every 4 hoursScan telematics for new fault codes
Daily 6:00 AMGenerate morning briefing for assigned users
Daily 9:00 PMReview open tasks and flag stale items
Weekly MonTrend analysis on oil samples and inspections → AI
On eventFault code received → evaluate severity → alert if critical
Persistent Memory

Every agent remembers everything

Unlike a chat session that forgets, GearBot Agents have persistent memory. They remember every service, every inspection, every fault — and build a complete picture of each machine's life over time.

  • Complete maintenance and service history
  • Inspection results and trends
  • Recurring fault codes and resolutions
  • Oil sample trends and degradation patterns
  • Operator notes and observations
  • Cost history and part replacements
⚙️
HD465-7 #2 Agent
Memory · Last updated 3 min ago
Morning check: 12,847 engine hours. Service due at 13,000 (153 hours remaining, ~2 weeks at current utilization).
Inspection completed by Mike T. Score: 86/100. Rear left tire flagged — tread depth 16mm (minimum 15mm). Recommend replacement within 2 weeks.
Oil sample results received. Iron trending up: 45→52→61 ppm over last 3 samples. ⚠️ Flagged for AI trend analysis — possible bearing wear.
P0101 fault code cleared after air filter replacement. This is the 3rd occurrence in 6 months. Pattern noted: occurs every ~2,000 hours.
500-hour service completed. Oil, filters, coolant. Cost: $1,840. Next service at 13,000 hours.
User Agents

A personal assistant for every role

Each team member's agent knows their role, equipment assignments, and priorities — and adapts to how they work.

MT
Mike Thompson
Field Technician · Trapper Mine
🌅 Morning briefing:
3 inspections due today. HD465 #2 rear tire needs replacement (flagged yesterday). 2 open work orders assigned to you. Engine hours on D375A #031 hitting 10,000 — schedule 1,000-hour service.
SM
Sarah Mitchell
Maintenance Supervisor
🌅 Morning briefing:
Fleet health: 94% operational. 4 machines due for service this week. HD785 #412 oil sample showing elevated iron — review recommended. 2 inspections pending your sign-off.
DG
Dave Garcia
Operations Manager
🌅 Morning briefing:
Trapper Mine: 187 machines active, 94% utilization. Cost per hour trending down 3% this month. 1 critical alert: HD785 #412 engine fault. Compliance: all inspections current except 3 overdue on night shift.
Cost Efficient

Scales to thousands.
Costs almost nothing.

90% of what agents do is rules and SQL — not AI calls. AI is only invoked for pattern recognition, trend analysis, and natural language. This means 434 equipment agents cost less than a single full-time employee.

90%
Rules Engine
SQL queries, date math, thresholds — zero AI cost
10%
AI Analysis
Pattern detection, anomaly flagging, natural language
24/7
Always On
Every machine monitored, every shift covered

Give every machine a brain.
Give every person an assistant.

GearBot Agents watch your fleet so your team can focus on what matters.

Book a Demo See GearBot AI →