472
Healthy
Proactive troubleshooting for customer-hosted applications
Troubleshooting before the ticket.
One operational view across every customer installation. Detect persistent Windows service, connectivity, and resource problems—and give support teams context before the customer reports them.
• Outbound-first architecture• Deterministic detection• Centralized visibility
Illustrative exampleLive view
472
Healthy
18
Degraded
7
Active Incidents
3
Recovered
Human attention required4
Distributed fleet visibility
500 customer servers. One operational view.
A conceptual fleet view for teams supporting applications across customer infrastructure.
18
Degraded
7
Active Incidents
3
Recovered
The reactive support gap
Support should not begin with an empty ticket.
In a reactive workflow, investigation starts only after the customer feels the impact. Engineers then reconnect, rebuild context, and repeat familiar diagnostic work.
Problem
Customer notices
Ticket
Support
Remote connection
Manual investigation
Resolution
The operational model
Detect first. Investigate when necessary.
Transient signals remain under observation. Persistent operational conditions can progress into a structured investigation.
Available today
1Observe
2Detect
3Incident
4Persistence evaluation
Controlled rollout
1Case
2Evidence
3Investigation
Product direction
1AI-assisted diagnosis
2Approved action
3Verify
4Escalate
Transient conditionContinue observing
Persistent conditionStructured investigation / Case
Available today
A real operational foundation.
A Windows Agent and centralized platform provide deterministic visibility into the conditions that repeatedly drive support work.
Windows Agent
Heartbeat and connectivity
Windows Services
TCP port monitoring
CPU, RAM, and disk
OS information
Centralized server visibility
Deterministic Incidents
Operational history
Controlled Remote Logs
Sensitive-content redaction
Remote Log expiration
Evidence before escalation
Stop starting every incident from zero.
Engineers receive operational context, not just another alert.
Operational context
SERVER-01
- Affected server
- SERVER-01
- Incident
- ServiceStopped · INC-1048
- First observed
- 10:42 UTC
- Latest telemetry
- CPU · RAM · Disk
- Affected service
- Application Service
- Persistence
- Confirmed
- Relevant history
- Incident timeline
- Controlled logs when requested
- On demand
Product evolution
From deterministic detection to controlled troubleshooting.
Deterministic monitoring and Incident detection
Available
Cases and structured operational investigation
Controlled rollout
Probable cause analysis and recommended next steps
Product direction
Approved runbooks and recovery verification
Product direction
AI assists reasoning. Policies control execution.
Ticketing & ITSM integrations
Connect troubleshooting to your existing support workflow.
Troubleshoot AI is designed to connect operational investigation with the ticketing and ITSM platforms your support team already uses.
Troubleshoot AI Case
DetectInvestigateHuman attention required
Planned contextual handoff
Create or update ticket → Support team takes over
ServiceNow
PlannedJira Service Management
PlannedZendesk
PlannedFreshservice
PlannedZoho Desk
PlannedYour ticketing system manages the ticket. Troubleshoot AI investigates what caused it.
Create automatically
When human attention is required, the intended workflow can create a ticket in the configured support platform.
Add investigation context
The planned handoff can include the affected server, originating Incident, Case reference, timeline, investigation status, relevant evidence, and diagnosis where available.
Keep synchronized
Future provider integrations are intended to update the external ticket as the Troubleshoot AI Case progresses.
Close the loop
After recovery is verified, the intended integration can update the external support workflow accordingly.
Automation does not mean every problem must be solved automatically. When safe resolution is not appropriate, the goal is to escalate with context already assembled.
Beyond traditional monitoring
Move from alerting toward investigation.
Traditional monitoring
“Something is wrong.”
Monitoring → Alert
Troubleshoot AI
“A persistent problem was detected, and the operational context is ready for investigation.”
Detect → Context → Investigate
Built for distributed support
For teams responsible for applications beyond their own network.
Software vendors
Support customer-hosted applications across tens, hundreds, or thousands of installations.
MSPs
Operate distributed Windows environments from a centralized operational view.
Healthcare technology
Support critical on-premise healthcare applications across distributed customer sites.
Security architecture
Designed for customer environments where trust matters.
Constrained connectivity, strong identity, and controlled diagnostics address the realities of deploying an agent inside customer infrastructure.
Outbound HTTPS/TLS
No normal inbound cloud connection
Server-side organization authorization
Google/Microsoft OAuth
TOTP MFA
Stronger authentication for privileged operations
Controlled Remote Logs
Sensitive-data redaction
Remote Log expiration
No unrestricted AI shell
Focused evaluation
Evaluate Troubleshoot AI with a focused pilot.
Start with a representative group of customer installations, validate the operational visibility, and identify the recurring support workflows with the greatest value.
Visibility
Proactive troubleshooting
Controlled automation
Request a demo
See proactive troubleshooting across your customer installations.
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