OpsFlo

AI Decision Engine

Platform / AI Decision Engine

Intelligence That Works in the Field

The AI Decision Engine transforms raw operational data into prescriptive actions - predicting equipment failures, recommending crew allocations, and surfacing revenue at risk before it’s lost.

**Intelligence** That Works in the Field
The Problem

Decisions Based on Gut Feel Cost Millions

Maintenance decisions are reactive - you fix what breaks instead of preventing the break.

Crew dispatch relies on supervisor intuition, not workload data or proximity.

Revenue-impacting patterns - like chronic under-billing or recurring job delays - are invisible until quarter-end.

By the time you see the trend in a report, the damage is already done.

The Problem
The Solution

How the AI Decision Engine Works

1

Continuous Data Ingestion

Every field event - inspections, tickets, sensor readings, job completions - feeds the engine in real time.

2

Pattern Recognition & Prediction

Machine learning models identify failure precursors, billing anomalies, and scheduling inefficiencies across your operations.

3

Prescriptive Actions

The engine doesn’t just alert - it recommends specific actions: which asset to service, which crew to reassign, which ticket to flag.

The Solution
Key Capabilities

Built for Operators

Predictive failure scoring for critical assets
Crew optimization recommendations
Revenue leakage anomaly detection
Inspection follow-through prediction
Automated priority escalation
Natural-language operational summaries
Configurable confidence thresholds
Continuous model improvement from feedback loops
The OpsFlo Advantage

AI Tied to Outcomes, Not Buzzwords

Every prediction is linked to a dollar figure or a safety metric. No abstract dashboards - just actionable intelligence your supervisors can act on immediately, even offline.

Ready to Start

Stop Guessing.
Start Building.

OpsFlo is the single source of truth for industrial operators. Stop losing revenue to disconnected field data.