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Your 24/7 Automated Service Manager
Yet manual QA is slow, inconsistent, and rarely done
Built from real MSP SOPs. Trained on real-world ticket patterns. Designed to make every engineer better, every ticket correct, and every client happier.
Misapplied agreements, wrong work types, missing time entries = lost revenue.
Engineers lose context, escalate unnecessarily, or spend time redoing work.
Tickets close too early, clients reopen them frustrated, CSAT tanks.
Same user. Same device. Same outage. No one connects the dots.
Technicians keep making the same errors, costing time and impacting quality, because there’s no structured feedback to prevent recurrence.
100% Automatic Ticket Audit
AI checks every resolved ticket for accuracy, completeness, and compliance with your SOP.
Fixes Costly Tech & Billing Issues
From wrong agreements to missing configuration items to incorrect work types — AI catches it all.
Generates Clean, Actionable QA Reports
Readable by managers, technicians, and ready for ticket notes.
Auto-Classifies Root Cause
AI rewrites incorrect Type/Subtype/Item based on the actual issue and tech notes.
Auto-Creates Tasks for Techs to Fix Errors
No more guessing what went wrong — techs get a clean task list with clear steps.
Learns Your SOP & Improves Over Time
Every MSP has unique rules — AI adapts to your boards, statuses, workflows, and agreements.
Time entries, notes, statuses, agreements — everything.
Including consistency, billing, root cause alignment, documentation quality, and client verification.
Clear, actionable, and perfect for coaching techs.
Just like a Service Manager would — only faster.
A single view of what’s hurting your service quality the most.
Whether you're a 5-person shop or a 200-person MSP — this tool replaces hours of QA work per week.
What used to take a Service Manager 10 minutes now takes AI 1 second — and it never gets tired.
If you care about service quality, margin retention, and team consistency, this tool is built for you.
90% of MSP challenges stem from people not following processes.
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