AI-POWERED AUTONOMOUS OPERATIONS

23 AI agents. One autonomous facility team.

Each agent is trained for a specific domain. Together, they run your facilities — predicting failures, enforcing compliance, optimising costs — 24 hours a day, without human input.

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AI-Powered Operations Suite
AI-Powered Operations Suite
How It Works

The Agent Lifecycle

How our autonomous agents work together.

1

Observe

Agents read from your CMMS data in real time.

2

Analyse

Agents apply models to identify patterns and risks.

3

Act

Agents autonomously create work orders and alerts.

The Specialist Agent Directory

Grouped by domain expertise, our agents work 24/7.

Active

Predictive Maintenance Agent

maintenance

Analyses MTBF trends, condition data, and failure history to predict equipment breakdowns before they happen.

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Active

Smart Scheduling Agent

maintenance

Assigns work orders to the best available technician based on skill, location, workload, and shift coverage.

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Active

Work Order Priority Agent

maintenance

Scores every open work order against asset criticality, SLA deadlines, and operational risk so teams fix the right thing first.

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Active

Asset Lifecycle Agent

maintenance

Tracks total cost of ownership for every asset and recommends the right repair-versus-replace decision.

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Active

Compliance Guardian Agent

safety

Monitors 47+ compliance checkpoints daily and triggers tiered alerts.

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Active

Safety Audit Agent

safety

Reviews safety records and highlights gaps before formal inspections.

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Active

Permit Monitoring Agent

safety

Ensures no work begins without correct PTW approvals.

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Active

Regulatory Alert Agent

safety

Tracks jurisdiction-specific regulatory changes and flags affected assets.

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Active

Cost Optimisation Agent

financial

Finds waste across redundant PMs, excess spare consumption, and vendor overcharging before it hits your budget.

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Active

Budget Planning Agent

financial

Builds maintenance budget forecasts from asset condition, historical spend, and backlog risk.

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Active

Vendor Performance Agent

financial

Scores vendors on SLA compliance, defect rates, and cost-efficiency.

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Active

Procurement Alert Agent

financial

Monitors spare part consumption and triggers purchase requests before stockouts.

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Active

Energy Optimisation Agent

efficiency

Benchmarks energy consumption per asset and identifies 15-25% savings opportunities.

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Active

Capacity Planning Agent

efficiency

Analyses technician workload, utilization, and backlog to prevent burnout and improve team sizing.

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Active

Technician Performance Agent

efficiency

Tracks completion rates, response times, first-time fix quality, and technician performance trends.

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Active

SLA Monitor Agent

efficiency

Tracks every open work order against its SLA deadline and escalates critical jobs before a breach occurs.

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Active

Daily Operations Orchestrator

autonomous

Runs 10 autonomous tasks daily — from work order creation to end-of-day reporting.

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Active

Failure Prediction Engine

autonomous

Runs nightly ML analysis across all equipment to update failure probability scores.

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Active

Self-Learning Agent

autonomous

Validates predictions against real outcomes to improve accuracy 5-10% monthly.

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Active

Escalation Manager Agent

autonomous

Intelligently routes alerts based on urgency, asset type, and team hierarchy.

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Active

Morning Briefing Agent

autonomous

Delivers a personalised daily summary to each manager at 7 AM.

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Active

Carbon Footprint Agent

sustainability

Tracks Scope 1, 2, and 3 emissions across all facilities.

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Active

Reporting Agent

intelligence

Auto-generates 20+ standard reports on a schedule for stakeholders.

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