The average MSP technician handles 40–70 endpoints. Tier 1 tickets consume 60–70% of help desk capacity, yet most are repetitive and resolvable with documented procedures. Meanwhile, alert fatigue causes real incidents to get buried. We build triage automation, predictive alerting, and documentation systems on your existing PSA and RMM stack — so your engineers work on problems that actually need them.
60–70%
Of help desk capacity consumed by repetitive L1 tickets
40–70
Endpoints per technician — and the ratio is climbing
12 → 4 hrs
Ticket resolution time with AI triage vs. without
8–12%
Average MSP net margin — top performers hit 25–35%
The Problem
60–70%
Of ticket volume is repetitive and pattern-based
Password resets, printer issues, VPN connectivity, email configuration, and permission requests follow documented procedures — but those procedures live in a wiki nobody updates and techs solve them from experience instead. With AI triage, average resolution time drops from 12 hours to 4, and technician throughput jumps from 8 tickets per day to 14. We build AI-powered triage systems that classify incoming tickets, match them to resolution procedures, and either auto-resolve or present the tech with the exact steps and context needed. Connected to your PSA (ConnectWise, Autotask/Datto, HaloPSA) and RMM tools. Typical deployment: classifying and routing tickets within 3 weeks, auto-resolution of top patterns within 6 weeks. Fixed scope, fixed price.
85%
Of RMM alerts are informational or false positives
Your RMM generates hundreds of alerts daily. Most are informational. When everything is urgent, nothing is. Real incidents — disk failures, security events, backup failures — get buried in the noise and discovered late. We build intelligent alert correlation and scoring systems that deduplicate, suppress known-benign patterns, and escalate genuine incidents with full context. The system learns your environment's normal baseline and flags deviations that matter — not every threshold crossing. Connected to your existing RMM (ConnectWise Automate, NinjaOne, Datto RMM) and feeding prioritized incidents into your PSA.
3–6 mo
Average ramp time for a new MSP technician
Tribal knowledge lives in senior techs' heads. Client environments are documented inconsistently or not at all. Every departure takes institutional knowledge with it, and every hire takes months to reach productivity. We deploy AI-assisted documentation systems that capture resolution steps from tickets, generate and update client environment documentation from RMM data, and build searchable knowledge bases that new techs can actually use. The system connects to your existing documentation platform (IT Glue, Hudu, or whatever you run) and your PSA ticket history to bootstrap documentation from work that's already been done.
What We Build
AI classification of incoming tickets by category, priority, and resolution pattern. The system routes to the right tier, attaches relevant documentation, and auto-resolves the top repetitive patterns — reducing L1 volume by 30–40% while improving first-contact resolution rates.
Intelligent deduplication and scoring of RMM alerts. The system suppresses known-benign patterns, correlates related alerts into incidents, and escalates genuine issues with full environmental context — cutting alert noise by 70–85% so real incidents get immediate attention.
Automated capture of resolution procedures from closed tickets and real-time environment documentation from RMM data. The system generates, updates, and organizes documentation in your existing platform — turning tribal knowledge into searchable, maintainable records.
ML models trained on your RMM telemetry that predict disk failures, performance degradation, and capacity issues before they generate tickets. The system creates proactive work orders during maintenance windows — converting reactive break-fix into scheduled prevention.
Standardized onboarding workflows that automatically discover and document new client environments, deploy RMM agents, configure monitoring policies, and populate your PSA with asset and contact data. We reduce onboarding from weeks to days while ensuring nothing gets missed.
AI-assisted dispatching that matches tickets to technicians based on skill set, current workload, client proximity, and SLA deadlines. The system optimizes scheduling to maximize billable utilization while ensuring SLA compliance across your entire client base.
Return on Investment
10-tech MSP: 66% faster resolution, $135K+ in recovered utilization. ROI within 90 days.
A 10-technician MSP operating at 60% utilization instead of 75% wastes $135,000+ annually in labor alone. At $22–40 per ticket fully loaded, reducing L1 volume by 30% on a 2,000-ticket/month operation saves $13K–$24K monthly in direct cost. Add the throughput gain — technicians handling 14 tickets per day instead of 8 — and you're serving more endpoints without adding headcount. The top 25% of MSPs don't work harder; they've automated the work that doesn't require humans. Every engagement starts with a 2-week ticket and alert analysis: we classify your actual volume, identify the highest-impact automation targets, and deliver working systems on your existing PSA and RMM. You measure the results against your own ticket metrics.
Ready to start
A 30-minute discovery call costs nothing. We’ll map your biggest operational bottleneck and tell you exactly what’s automatable.
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