It observes 24/7
Continuously evaluates available equipment signals, alarms, site conditions, power events, connectivity status, and infrastructure performance.
TELECOMMUNICATIONS
Diagnose Network Faults Earlier.Keep Your Infrastructure Running.
DevicePulse.AI is an AI-powered operations agent that investigates telecom equipment faults, identifies potential root causes, and helps operations teams take corrective action. By combining 24/7 infrastructure awareness, early failure predictions, intelligent troubleshooting, and authorized auto-fix capabilities, it helps operators address equipment risks before they escalate into service disruptions.
Human oversight Action-oriented operations
FROM NETWORK SIGNALS TO DECISIONS
Your Network Generates Thousands of Signals. Know Which Ones Matter.
Telecom infrastructure generates continuous streams of equipment alarms, power events, connectivity changes, environmental readings, and performance data. Understanding how these events relate—and whether they indicate an existing fault or an emerging failure—can demand significant engineering effort.
DevicePulse.AI acts as an intelligent operations agent, turning operational signals into contextual diagnoses and actionable guidance. It investigates root causes, identifies potential failure risks before actual failures occur, supports troubleshooting through learned knowledge and human expertise, and helps teams coordinate corrective actions across distributed network infrastructure.
THE OPERATIONAL CHALLENGE
More Network Sites. More Alarms. More Complexity.
As telecom infrastructure expands, operations teams must manage more sites, interconnected equipment, power systems, connectivity dependencies, and increasingly complex incidents. An equipment alarm may indicate a symptom rather than the underlying fault, while related events can appear across multiple systems and locations.
Fragmented investigations slow incident response.
Without an intelligent diagnosis and response process, engineers spend valuable time correlating alarms, investigating power and connectivity issues, coordinating field teams, and determining whether incidents can be resolved remotely. Emerging risks may go unnoticed, recurring faults can trigger repeated investigations, and unresolved incidents may affect network availability and service continuity.
THE CURRENT PROCESSOne alert, many manual steps
- 01
Identify the alertA network management system or equipment interface reports an alarm, power event, connectivity issue, or abnormal condition.
- 02
Investigate manuallyEngineers review related alarms, site information, equipment history, and available performance data.
- 03
Determine the causeThe team correlates symptoms across systems and consults equipment specialists to establish a likely root cause.
- 04
Coordinate the responseTeams decide whether to apply a remote fix, adjust a supported configuration, create an incident, or dispatch a technician.
- 05
Track the resolutionThe incident is updated and closed, while troubleshooting knowledge may remain fragmented across systems and engineers.
THE DEVICEPULSE.AI APPROACH
Meet Your AI Agent for Telecom Fault Diagnosis and Resolution.
DevicePulse.AI doesn't stop at identifying a network incident. It investigates equipment behavior, analyzes potential root causes, identifies developing failure risks, and determines what should happen next. From power-system abnormalities and equipment faults to recurring connectivity issues, the agent turns network signals into informed decisions and corrective actions.
It investigates root causes
Correlates alarms, historical events, equipment behavior, and site conditions to identify potential causes instead of treating each event alone.
It predicts developing failures
Analyzes operational data for patterns that may indicate an emerging failure, giving teams time to investigate where reliable prediction is supported.
It guides troubleshooting
Provides contextual troubleshooting steps using configured knowledge, technical documentation, reviewed feedback, and expert guidance.
It takes action
Executes supported, authorized remote fixes and configuration changes when technically appropriate, escalating when people or physical intervention are needed.
It connects and escalates
Creates or updates ITSM incidents and escalates complex issues with diagnostic evidence, previous actions, and recommended next steps.
OUR AGENT
More Than an Alert. An Intelligent Network Operations Partner.
DevicePulse.AI brings infrastructure awareness, root-cause analysis, early failure prediction, troubleshooting, and corrective action together in one workflow. It helps telecom teams identify risks earlier, investigate incidents efficiently, and coordinate responses across distributed infrastructure while preserving human oversight.
Always aware
Evaluates available equipment signals, alarms, power conditions, connectivity, and infrastructure status for abnormal behavior and site changes.
Root-cause analysis
Investigates related alarms and conditions to explain potential causes, not simply acknowledge another alert.
Identifies risks before failure
Analyzes operational data for developing failure patterns so teams can intervene when supported by the data and model.
Troubleshooting that improves
Combines configured knowledge and technical documentation with reviewed user feedback and human guidance.
Expert support when needed
Escalates uncertain diagnoses and unresolved incidents with supporting evidence, previous attempts, and recommended next steps.
Auto-fix within defined limits
Executes supported, authorized remote actions while escalating incidents that require inspection, approval, or specialist intervention.
Integrated ITSM workflows
Connects supported equipment interfaces, operational data sources, and tools such as ClickUp, Jira, or ServiceNow to track incidents.
HOW IT WORKS
From Network Fault to Resolution. One Intelligent Workflow.
DevicePulse.AI evaluates infrastructure signals, investigates abnormal behavior, identifies potential causes and developing failure risks, and determines the next appropriate action. Depending on the incident and integrations, it can support remote resolution, guide an engineer, or create an incident for further investigation.
- 01
Identify abnormal behavior
An equipment alarm, power issue, connectivity change, unusual condition, or developing failure indicator triggers an investigation.
- 02
Correlate the evidence
The agent examines equipment signals, related alarms, site conditions, historical events, and connectivity information to connect symptoms.
- 03
Diagnose or identify risk
It presents potential root causes for existing incidents and identifies developing risks when supported by available data.
- 04
Choose the right response
It recommends troubleshooting, performs a supported remote fix, requests approval, or escalates to the appropriate operations team.
- 05
Track resolution and improve knowledge
Confirmed fixes, user feedback, and expert guidance can be reviewed and incorporated into future troubleshooting knowledge.
BENEFITS
Resolve Network Issues With Less Guesswork and More Intelligence.
Investigate incidents faster, identify potential equipment failures earlier, reduce repetitive troubleshooting, and coordinate corrective actions across distributed infrastructure.
01
Strengthen network reliability
Identify abnormal conditions and potential developing failures earlier, helping teams investigate before service-affecting disruptions.
02
Accelerate fault diagnosis
Correlate alarms, equipment behavior, and historical events to help engineers find likely causes without starting from scratch.
03
Reduce unnecessary field visits
Identify incidents suitable for remote troubleshooting and authorized auto-fix before dispatching a field technician.
04
Prevent repeat troubleshooting
Use reviewed feedback, confirmed resolutions, and human expertise to build reusable knowledge for recurring incidents.
05
Scale network operations
Standardize investigation, escalation, and incident tracking across distributed sites as infrastructure expands.
BUSINESS IMPACT
Turn Network Intelligence Into Measurable Business Outcomes.
Move from reactive incident handling toward proactive network operations. Early risk identification, faster root-cause analysis, and appropriate corrective action can help improve infrastructure availability and operational efficiency.
Infrastructure availability
Measure site uptime, equipment availability, and service-affecting downtime.
Failure risk identification
Measure the lead time between a validated risk alert and actual equipment failure, where predictive capabilities apply.
Fault resolution
Measure mean time to diagnose (MTTD) and mean time to repair (MTTR).
Avoidable site visits
Measure incidents resolved remotely without dispatch, where remote resolution is appropriate.
Manual troubleshooting
Measure time spent on repetitive incident investigation and coordination.
Actual improvements depend on equipment compatibility, data availability, model performance, integration scope, and operating conditions. Validate outcomes against a baseline during a proof of concept.
FROM ALERTS TO ACTION
From Alarm Handling to Intelligent Network Operations.
Traditional network management systems report faults, equipment alarms, and operational events. DevicePulse.AI adds an intelligent diagnosis and action layer that investigates what happened, determines potential causes, identifies developing risks, and helps teams take the next step.
Signals without connected investigation
- Network alarms are reviewed and investigated individually.
- Engineers manually correlate events across equipment, power systems, and site information.
- Developing risks may only be recognized after warning signs become more obvious.
- Troubleshooting depends heavily on individual expertise and manual coordination.
- Incident assignments, remote fixes, and field interventions are managed across separate tools.
Diagnosis connected to action
- Related alarms and equipment signals are analyzed together.
- The agent presents potential root causes and supporting evidence.
- Developing risks can be identified before failures when supported by data.
- Reviewed feedback and human expertise improve troubleshooting guidance.
- Supported auto-fixes and ITSM integrations connect diagnosis with action.
- Confirmed resolutions help preserve reusable troubleshooting knowledge across sites.
DevicePulse.AI helps telecom operators move beyond reacting to network alarms—bringing early failure prediction, root-cause analysis, intelligent troubleshooting, and corrective action together to support reliable network operations.
NETWORK OPERATIONS, CONNECTED
Keep your network moving with earlier insight and informed action.
See how DevicePulse.AI can support your network operations workflow.
Request a demo