AI Agent Development · Predictive Maintenance & IoT
Predict failurebefore it happens.
Sensor-fed AI that monitors equipment in real-time and predicts maintenance needs. Built for oil & gas, manufacturing, and field ops.
Up to 80% less downtimeUp to 60% cost savingsUp to 95% accuracy
Intelligent equipment monitoring.
Transform your maintenance strategy with AI-powered IoT analytics and predictive insights.
IoT sensor integration
Connect thousands of sensors monitoring temperature, vibration, and pressure in real-time.
Failure prediction
AI algorithms predict equipment failures weeks or months ahead with up to 95% accuracy.
Maintenance scheduling
Auto-schedule based on actual condition rather than fixed intervals.
Real-time monitoring
24/7 monitoring with instant alerts for anomalies and critical conditions.
Performance analytics
Track equipment metrics, efficiency trends, and optimisation opportunities.
How it works
How does predictive maintenance work?
01
Instrument the asset
- Select the right sensors for each failure mode
- Install secure gateways with no production stoppage
- Wire vibration, temperature, pressure, and current
02
Baseline the data
- Collect readings until healthy is learned
- Profile duty cycles and seasonal patterns
- Filter noise so deviations stand out
03
Predict and alert
- Watch every stream in real time
- Score anomalies by severity and confidence
- Forecast the time-to-failure window
04
Act and improve
- Auto-create work orders in your CMMS
- Route alerts to the right technician
- Retrain models on technician feedback
What does predictive maintenance catch?
Bearing wear, pump cavitation, motor degradation, and the slow drifts that precede failure. Sensor-fed models flag developing problems weeks ahead, so maintenance happens on your schedule.
Asset health
- Continuous condition monitoring
- Vibration & temperature signatures
- Anomaly detection alerts
- Historical trending
Predictive alerts
- 2 to 8 weeks failure warning
- Recommended maintenance actions
- Severity scoring
- Auto-create work orders
Field operations
- Mobile dashboards for technicians
- GPS-tagged sensor mapping
- Offline-capable apps
- Remote diagnostics
Energy & efficiency
- Energy consumption tracking
- Process optimisation insights
- Carbon footprint reporting
- OEE benchmarking
Maximise equipment uptime.
Up to 80% less downtime
Prevent unexpected failures and unplanned downtime through predictive maintenance.
Up to 60% cost savings
Maintain only when needed. Avoid emergency repairs and overtime callouts.
Up to 95% accuracy
Reliable failure predictions you can plan maintenance around with confidence.
Vendor-agnostic by design. Pick the right tool, every time.
We integrate with the platforms your team is on today. No rip-and-replace. We mix what fits and keep up with the new stuff so you don’t have to.
n8nMakeZapierOpenAIAnthropicGoogle GeminiElevenLabsPythonTypeScriptNext.jsSupabaseAWSAzureVercelSalesforceHubSpotSlackAirtableNotionMonday.comStripeQuickBooksTwilioMicrosoft 365Google WorkspaceGitHubPinecone
n8n
Make
Zapier
OpenAI
Anthropic
Google Gemini
ElevenLabs
Python
TypeScript
Next.js
Supabase
AWS
Azure
Vercel
Salesforce
HubSpot
Slack
Airtable
Notion
Monday.com
Stripe
QuickBooks
Twilio
Microsoft 365
Google Workspace
GitHub
Pineconeand many more…
What clients say
Real uptime. Real savings.
“Working with Jesse and Chad has been overall a great experience. They take the time to walk you through new developments in the AI world and how they can be implemented to better serve your company. The Automators are thorough and professional bringing a level of expertise to each process. Would highly recommend to anyone trying to build their business through the use of AI technology.”
“The Automators are my AI strategy partner. I wasn't even sure as to what was possible with AI, but over the discovery call they uncovered areas where I could implement AI. I've already seen a large ROI on my investment, and they continue to be my partner to help me find new solutions for my business. They have the utmost professionalism, and I can't recommend them highly enough!”
“Jesse & The Automators are knowledgeable, forward thinking, and true experts in the ever evolving world of AI and automation. For any business looking to streamline and become more efficient. Reach out to them as one of your strategic partners, you won't be disappointed!”
“Jesse sent me a ready-to-use prompt that was very helpful!”
“Helpful customer service helping me with retell ai”
“Reliable team that went above and beyond!”
What types of equipment can be monitored?
Virtually any industrial equipment: motors, pumps, compressors, turbines, HVAC, manufacturing machinery, conveyors, and generators. Our sensors track temperature, vibration, pressure, humidity, electrical current, and more.
How accurate are predictive maintenance forecasts?
Our AI achieves 95% accuracy in predicting failures, typically providing 2 to 8 weeks advance warning. Accuracy improves over time as ML models collect more data on your specific equipment.
Do you provide the IoT sensors or do we buy them?
We provide a complete turnkey solution: sensor hardware, installation, connectivity, cloud platform, and AI analytics. We handle procurement, installation, configuration, and ongoing maintenance.
Can the system integrate with our existing CMMS?
Yes. Our platform integrates with major CMMS and EAM systems including SAP, IBM Maximo, Oracle, and others. We auto-create work orders and sync maintenance schedules.
What's the ROI timeline?
Most organisations see ROI within 6 to 12 months through reduced downtime, lower maintenance costs, and extended equipment life. Detailed projections provided during consultation.
Is the system secure and compliant?
Absolutely. All data is encrypted in transit and at rest with enterprise-grade security. Our IoT platform complies with IEC 62443, ISO 27001, and other industrial cybersecurity standards.
How long does a deployment take from kickoff to live alerts?
A focused pilot on one asset class is typically live within four to six weeks. That covers sensor installation, connectivity, baseline data collection, and model calibration. Site-wide rollouts run in phases so each line proves value before the next one comes online.
What happens if a sensor or gateway goes offline?
Every device sends a heartbeat, so the platform flags a dropped sensor or gateway within minutes rather than discovering the gap during the next inspection. Critical assets can run redundant sensors, and the system keeps buffering edge data locally until connectivity is restored, so no readings are lost.
Do we need to rip out our existing SCADA or historian?
No. We bridge to existing SCADA, PLCs, and historians (OPC UA, Modbus, MQTT) rather than replacing them. The predictive layer reads from the systems you already trust and writes alerts and work orders back into the tools your team uses every day.
How does the AI avoid flooding technicians with false alarms?
Models score every anomaly by severity and confidence, then suppress low-signal noise so only actionable events reach a person. As technicians confirm or dismiss alerts, that feedback retrains the models, and false positives keep dropping quarter over quarter.
Ready to monitor?
Catch failures before they catch you.
Free 30-minute call. We'll review your equipment and tell you exactly where IoT monitoring will deliver the biggest payback.
- No commitment required
- Reply within 24 hours
- Serving Canada, the U.S. & Worldwide