Turn analytics into automated action.
Ponte connects your analytics layer to action: predictive maintenance, service cases, workflow automation, business-system integration, and explainable recommendations your team can trust.
Service should follow asset condition, not only the calendar.
Action Intelligence & Automation turns monitored telemetry into operational action: which asset is drifting, why it matters, what confidence exists, and which workflow should run next.
Calendar maintenance wastes visits.
Fixed service intervals treat healthy and stressed equipment the same, so teams replace parts too early or arrive too late.
Failures usually leave traces.
Temperature drift, vibration changes, pressure instability, runtime patterns, and repeated warnings often appear before the actual failure.
Automation must be trusted.
A black-box trigger is not enough. Teams need evidence, trend context, severity, and a recommended next action before workflows fire.
Automation needs evidence operators can inspect.
We build explainable early-warning views: baseline, drift, risk score, confidence, recommended action, workflow target, and the historical signal that triggered the warning.
Health Score
Elevated runtime variance and temperature drift detected over the last service window.
Recommended action: inspect bearing assembly during next planned visit. Escalate if temperature drift continues for another 48 hours.
Intelligence only creates value when it reaches the action workflow.
The goal is not a model demo. The goal is a repeatable loop from telemetry to recommendation, automated routing, human action, outcome capture, and better future decisions.
Baseline Behavior
Model normal operating ranges by asset type, site conditions, duty cycle, and seasonal pattern.
Anomaly Signals
Detect meaningful drift and abnormal patterns in the telemetry already produced by connected assets.
Risk Scoring
Translate signal changes into explainable risk levels, confidence, and estimated service urgency.
Automated Action
Route evidence-backed recommendations into maintenance planning, service cases, CMMS, CRM, ERP, or field workflows.
01
Signal Audit
We inspect historical and live telemetry, identify useful failure indicators, and separate reliable signals from noisy data.
02
Early Warning Pilot
We build a first anomaly and risk-scoring loop with clear evidence, thresholds, and technician feedback capture.
03
Action Integration
We connect recommendations to maintenance workflows, service cases, business systems, and feedback loops as field outcomes return.
When insight triggers the right workflow, service becomes proactive.
Action Intelligence & Automation turns connected-product data into a repeatable operating layer: detect, explain, recommend, route, automate, and learn from every service outcome.
Action outcomes
Automation and service intelligence your team can operationalize.
Signals
Rules
Routing