AI Agents for Infrastructure Monitoring
WorkAgentic builds AI agents for infrastructure monitoring that track server, network, and system health continuously, so IT teams stop finding out about a failing system only after users start complaining.
No technical team neededBuilt by CPAs
Book a Free IT Workflow Audit
Infrastructure Monitoring
Six infrastructure monitoring tasks your team stops running manually
Each agent tracks system health automatically. No manual dashboard checks, no failing system that goes unnoticed until users complain.
Automatic Infrastructure Data Aggregation
- Server, network, and cloud health data pulled automatically from every monitored system
- CPU load, memory usage, disk space, and connectivity combined in one view
- No manual dashboard checks needed to bring system health together
- New infrastructure components added to the monitoring inputs without a rebuild
- Missing or delayed health data flagged instead of monitored on partial signal
Health and Performance Analysis
- Performance signals analyzed against a healthy baseline automatically
- Analysis configured to reflect what your team defines as normal for each system
- System-level breakdown available so a tech sees exactly what's degrading and why
- Different baselines supported for different system types or environments
- Analysis applied consistently across every system, no manual comparison
Real-Time Uptime Monitoring
- Status checked continuously across every monitored server and service
- Dashboard always reflects current uptime, not a static periodic check
- Downtime events logged so a tech can see exactly when and how long a system was affected
- Monitoring frequency matched to how critical a given system is
- An intermittent connectivity issue flagged before it becomes a full outage
Degradation Alerts
- A system trending toward a failure state triggers an alert automatically
- Alerts routed to the right on-call tech based on system ownership rules
- A degrading system surfaced while it's still a warning, not yet an outage
- Multiple severity tiers supported, such as early warning and critical failure
- Alert timing tuned so intervention happens before users are affected
Monitoring Threshold Tuning and Feedback Loop
- Health thresholds refined automatically using which alerts turned out to matter
- Monitoring accuracy improves the longer the agent runs against real system behavior
- Manual override available where a tech's own judgment should take precedence
- Threshold recalibration reviewed with your team before being applied live
- Monitoring changes logged so alert shifts are never a surprise
Infrastructure History and Audit Log
- Every health event logged with a timestamp and the system it affected
- Historical uptime and performance available for comparison without manual reconstruction
- Threshold version tracked so an alert shift can be traced to a specific change
- An incident's full timeline tied back to every health signal that led there
- History retained even after infrastructure or monitoring criteria have changed
Built Around Your Workflow
Your existing systems are already the source of truth
WorkAgentic builds each IT automation agent around the systems, rules, and approval logic your team already uses. Nothing about how your team works today needs to change. The agent runs in the background, and your team reviews exceptions and keeps final say.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
100+
systems we connect to
Any API
if it exports data, we connect
See how the AI agent deployment process works.
ServiceNow
Jira
Zendesk
Freshservice
Intune
Okta
PagerDuty
100+
more systems
Splunk, Datadog, Nagios, ManageEngine, SolarWinds and any system with a structured API or data export
Case Studies
AI agents we have already built and deployed
Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.
Frozen Foods / CPGHow a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
Read case study
CPG / Consumer Packaged GoodsHow a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis.
The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
Read case study
Frozen Foods / CPGHow a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management.
However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
Read case study
CPG / Business Process OutsourcingHow a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms.
As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.
Read case study
Watch the Agent Work
See an infrastructure monitoring agent running live
A 3-minute walkthrough showing how the agent aggregates health data across every system, analyzes performance against a baseline, flags a system degrading before it fails, and keeps a full infrastructure history.
Server, network, and cloud health aggregated automatically from every system
Performance analyzed against a healthy baseline and updated continuously
An on-call tech alerted the moment a system starts degrading
Infrastructure history kept automatically to trace an incident back to its early signals
No commitment. We demo with a real it workflow, not a sandbox.
Start with infrastructure monitoring. Explore more IT automation agents for your team.
WorkAgentic deploys infrastructure monitoring that tracks server, network, and system health continuously, so IT teams stop finding out about a failing system only after users start complaining.
Helpdesk Triage
Helpdesk Triage Agent
- Assess, categorize, and prioritize new tickets automatically.
- Initial assessment, not broad IT reporting.
IT Reporting Agent
- Report on IT operations across tickets, systems, and licenses.
- Broad IT metrics, not infrastructure health.
Infrastructure Monitoring Agent
- Track server, network, and system health continuously.
- System uptime, not new hire setup.
Employee Onboarding Agent
- Set up new hire accounts, equipment, and access.
- Full onboarding process, not just access grants.
Vendor and License Management Agent
- Track software licenses, seats, and renewals.
- License tracking, not patch deployment.
Patch Management Agent
- Apply and track software updates across systems.
- Update deployment, not license tracking.
Ticket Routing Agent
- Assign tickets to the right person by skill and workload.
- Team assignment, not initial triage.
SLA Monitoring Agent
- Track ticket response and resolution against SLA targets.
- SLA compliance, not general IT reporting.
Access Provisioning Agent
- Grant and revoke system access and permissions.
- Access management, not full onboarding.
FAQ
Questions about infrastructure monitoring
Clear answers on how the agent tracks system health and alerts your team, and what your team stays responsible for.
Infrastructure monitoring agents are AI agents that track server, network, and system health continuously, so an IT team knows about a degrading system before users start complaining, without someone manually checking dashboards across every monitoring tool. WorkAgentic builds infrastructure monitoring agents for teams whose current visibility into system health depends on whoever happens to be watching a dashboard when something goes wrong.
IT reporting consolidates broad metrics across tickets, systems, and licenses into a periodic leadership dashboard. Infrastructure monitoring tracks server, network, and system health continuously in real time, independent of any reporting cadence. This page covers the continuous monitoring agent. A separate IT reporting agent covers the periodic cross-system dashboard.
Infrastructure monitoring tracks ongoing system and network health. Patch management applies and tracks security and software updates across managed systems. This page covers the health monitoring agent. A separate patch management agent covers update deployment.
Servers, network devices, cloud resources, and any other infrastructure component your team defines are checked continuously for health signals such as CPU load, memory usage, disk space, and connectivity, so coverage extends across your full environment rather than just the systems someone remembered to watch.
The agent detects a health issue and alerts the right person with the relevant context, but a person on your team makes the actual fix. This page covers the monitoring and alerting agent, not an automatic remediation tool.
Yes. A system trending toward a failure state, such as disk space filling up or response times slowly increasing, is flagged automatically before it crosses into outage territory, so a team can intervene while the issue is still a warning sign rather than a live incident.
Yes. Monitored systems, health thresholds, and alert rules are updated over time as your infrastructure grows or changes, so monitoring coverage stays current rather than reflecting an environment that existed at initial setup.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
Get Started
Ready to stop finding out about a failing system after users complain?
Book a free 30-minute infrastructure monitoring review. We map your current systems and show you where automatic health monitoring saves your team the most time first.
Book a Free Infrastructure Monitoring Review →