10–50 technicians · $2M–$15M revenue

Your Engineers Solving Problems, Not Routing Tickets

MSPs lose hours daily to ticket triage, alert noise, and onboarding projects that drag on for weeks. AI agents handle the routine — classification, routing, documentation, alert filtering — so your technicians can focus on complex issues and client relationships.

Start 45-Day Ticket Triage Pilot

Typical ROI — 20-Technician MSP

Technician labor cost before

$240,000/yr

4 L1 techs + coordinator time

OnlyBoring Professional Package

$114,000/yr

6 agents + $12K setup

Net annual savings

~$126,000

Plus: Better SLA compliance, faster onboarding, reduced technician burnout

80%

Triage time reduction

95%+

SLA compliance

85%

Alert noise reduction

Sound familiar?

"We spend the first hour of every day just figuring out who should work on what. By the time tickets are assigned, we've already missed SLA on half of them."

Ticket Triage Chaos

50–200 tickets daily; 10–20 min per ticket to categorize

"Onboarding a new client takes 4–6 weeks and ties up two of my best engineers. By the time we're done, the margins are gone."

Onboarding Bottleneck

40–80 hours per client; revenue delayed until complete

"My technicians are drowning in alerts. 90% are noise, and they've learned to ignore everything — which means they're missing the real issues."

RMM Alert Fatigue

2–4 hours daily reviewing alerts; 80–90% are false positives

Workflows we automate for MSPs

Six high-impact workflows covering the operational burden — from ticket triage to documentation and provisioning.

Ticket Triage & Routing

AI monitors all ticket channels 24/7, auto-categorizes and prioritizes based on content and urgency, routes to the appropriate technician by skill and current workload, escalates critical issues immediately, and updates each ticket with relevant documentation from IT Glue or Hudu.

10–20 min per ticket

1–2 min per ticket

Client Onboarding

AI runs automated environment discovery, generates network diagrams and asset inventories, documents configurations in IT Glue or Hudu, creates standardized SOPs, and prepares onboarding project plans. Engineers focus on configuration, not discovery and documentation.

40–80 hours over 2–6 weeks

15–25 hours (60–70% reduction)

RMM Alert Processing

AI filters incoming alerts using classification logic, auto-creates tickets for actionable issues, closes false positives without manual review, escalates critical alerts immediately, and provides technicians with relevant environment context on each real issue.

2–4 hours daily

30–45 min daily

Documentation Management

Updates SOPs when processes change, maintains password and configuration documentation in real time, creates knowledge base articles from resolved tickets, updates network diagrams, and documents vendor contacts and relationships. No more tribal knowledge risk.

Always out of date

Continuously updated

Warranty & Vendor Management

Tracks hardware warranties and expiration dates, coordinates with vendors for support and RMAs, manages software licensing renewals, and maintains vendor contact information. No more surprise hardware failures from expired warranties.

Manual, often missed

Automated tracking

User Provisioning & Deprovisioning

Creates new user accounts across systems, configures standard workstation builds, grants appropriate permissions, deactivates terminated users instantly, and transfers and archives data. Security gaps from delayed deprovisioning eliminated.

45–90 min per user event

10–15 min per event

How MSPs scale with OnlyBoring

Month 1–2

Ticket Pilot

Validate AI on all incoming tickets during business hours. Measure SLA improvements and triage accuracy.

2 agents

Month 3–6

Core Operations

Add client onboarding automation, RMM alert processing, and documentation management.

4–5 agents

Month 6–12

Full Operations

User provisioning, vendor management, advanced analytics and reporting.

6–8 agents

Year 2+

Growth Mode

Scale agents as client count grows. Add new clients without proportional hiring.

Unlimited

Common concerns, answered

"IT support is too technical for AI."

Level 1 support seems technical, but it's actually highly structured — password resets, printer issues, software installs follow predictable patterns. AI excels at classification, routing, and routine troubleshooting. Your engineers focus on complex problems; AI handles the routine. One MSP client had AI successfully resolve 40% of L1 tickets without human intervention — engineers only handled escalations.

"Our clients expect to talk to a human."

Absolutely — and that's why your engineers shouldn't waste client-facing time on ticket triage and documentation. AI handles the back-office coordination so engineers are available for the client conversations that matter. One MSP told us client satisfaction improved because engineers responded faster to real issues instead of being buried in administrative work.

"Every client environment is unique."

Every client IS unique — that's why our AI learns your specific client environments and processes. If your technicians can learn a client's quirks, our AI can learn them — and they never forget which client runs which firewall. We work with MSPs supporting 100+ unique client environments.

"What about our PSA and RMM tools?"

We don't replace your tools — we enhance them. Our AI integrates with ConnectWise, Autotask, N-able, Datto, NinjaOne, and others. AI does the work IN your systems, just like trained technicians. No data migration, no workflow disruption.