AI Diagnostic Agent for MSPs
It investigates each ticket automatically, gathering logs, asset and RMM data, and history to surface the likely root cause before a technician starts.
Techs waste the first 20 minutes just gathering context
Every minute spent hunting through tools and logs is a minute the client waits. Manual investigation is slow, repetitive, and lets the real cause slip through.
Slow Investigation
Techs hunt through tools and logs before they can even start.
Repeated Questions
Clients get asked for details that were already available.
Missed Root Cause
Symptoms get treated while the real cause recurs.
Recurring Issues
The same problems come back because nobody connected the dots.
From ticket to root cause in seconds
Fully automated investigation, before a human touches the ticket.
Pulls Ticket & Asset Context
The agent gathers the ticket, affected assets, and configuration automatically.
Queries RMM, Logs & History
It reads telemetry, event logs, and prior tickets for the affected systems.
Correlates Symptoms
Signals are correlated to separate symptoms from the underlying cause.
Proposes Root Cause
A likely root cause and recommended next steps are attached to the ticket.
Faster time to root cause on common issues
What the Diagnostic Agent handles
Comprehensive investigation that surfaces root cause before a tech starts.
Automated Data Gathering
Pulls everything a tech would need, instantly.
- RMM & telemetry retrieval
- Event & auth log analysis
- Affected-asset mapping
- Configuration snapshots
Root-Cause Analysis
Separates symptoms from the real problem.
- Symptom correlation
- Likely-cause ranking
- Confidence scoring
- Recommended next steps
Knowledge-Base Lookup
Checks documentation and past fixes before reinventing them.
- Searches IT Glue / Hudu / SharePoint
- Matches similar past tickets
- Surfaces known runbooks
- Cites the source
Recurring-Issue Detection
Flags problems that keep coming back.
- Pattern detection across tickets
- Repeat-offender alerts
- Trend surfacing
- Feeds documentation gaps
Diagnostic impact
What MSPs gain when investigation runs itself.
faster diagnosis
more context per ticket
fewer follow-up questions
investigation
Diagnostic Agent questions
What does the Diagnostic Agent do?
The Diagnostic Agent investigates each ticket the moment it's triaged, gathering logs, asset and RMM data, and prior history automatically. It correlates the signals to surface a likely root cause and recommended next steps before a technician ever opens the ticket.
What data sources does it use?
The agent pulls from your RMM telemetry, event and authentication logs, configuration snapshots, and affected-asset data. It also searches documentation in tools like IT Glue, Hudu, and SharePoint, along with similar past tickets to ground its analysis.
How does it determine root cause and confidence?
It correlates symptoms across the gathered data to separate effects from the underlying cause, then ranks likely causes and assigns a confidence score. Every conclusion cites the evidence and source it was drawn from, so techs can verify it quickly.
What happens when confidence is low?
When confidence falls below threshold, the agent presents its findings and the evidence it gathered rather than asserting a single cause. The technician makes the call with full context already assembled, and the agent learns from the outcome to improve future diagnoses.
Works with the rest of the fleet
Diagnostic feeds clean root-cause analysis into resolution and documentation.
Proven Results for MSPs
26%
Average increased capacity per technician
30%
Less escalations
100%
Removes the need for a dedicated triage and dispatch role
How MSPs Use Mizo AI: Customer Success Stories
See how high-growth MSPs use Mizo to deliver faster support with AI-powered service desk automation.
Commandare Technologies
Patrick Racine, Founder & President
With Mizo handling our triage, our technicians can focus on work that truly matters
Patrick Racine
Founder & President, Commandare Technologies
How MSPs Use Mizo AI: Customer Success Stories
See how high-growth MSPs use Mizo to deliver faster support with AI-powered service desk automation.
Nexxo Technologies
Laurence St-Yves, Chief Technology Officer
Our kill rate is better. Our SLA compliance is better.
Laurence St-Yves
Chief Technology Officer, Nexxo Technologies