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Utah Tech Repair Automates 50% of Routine Tasks Without Adding Headcount

2025 INNOVATIONSAIAI AGENTSAUTOMATIONCASE STUDYCOST SAVINGSMANAGED SERVICESMSPOPEN SOURCE INNOVATIONSOPENFRAMERMMUSER EXPERIENCE
Utah Tech Repair

Utah Tech Repair

Technology

Tyson Wilcox

Tyson Wilcox

CEO

1-50

Employees

25

Managed Seats

Utah Tech Repair Automates 50% of Routine Tasks Without Adding Headcount

Summary

Utah Tech Repair is using OpenFrame's AI agents and automation tools to break free from per-agent licensing costs that were blocking their growth. Early testing shows they'll automate 50% of routine tasks, improve response times by 30%, and slash operating expenses in half.

Challenge

Running lean meant every decision came down to money. Utah Tech Repair's small team was juggling full-time jobs while building the business, but adding technicians meant expensive per-agent licensing fees across their entire tool stack. They couldn't justify the minimum spend commitments that commercial tools demanded, which limited what services they could offer clients. Routine troubleshooting calls ate up time that could've gone to growth, and response times suffered because the team was stretched thin.

Solution

OpenFrame's AI agents and scripting support are handling the grunt work - service restarts, system updates, software installations, and soon, new user account creations. The platform gives Utah Tech Repair visibility into client environments without the recurring per-agent costs that were holding them back. They're building toward a full PSA implementation to replace their in-house helpdesk and tie everything together with their RMM and MDM tools.

Results

• 30% faster response times expected through AI agent automation
• 50% of routine tasks getting automated (updates, installs, basic troubleshooting)
• 50% reduction in operating expenses once fully migrated at end of current contract term
• New service offerings now financially viable without minimum spend commitments

Key Moments

Tyson Wilcox

Tyson Wilcox

CEO
Tyson Wilcox

Tyson Wilcox

CEO
Tyson Wilcox

Tyson Wilcox

CEO
Tyson Wilcox

Tyson Wilcox

CEO

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Frequently Asked Questions

About OpenFrame

OpenFrame isn't built to plug into your stack. It replaces it. Instead of duct-taping a dozen tools together (RMM, MDM, SIEM, patching, remote access, each its own login and bill), we bundle it into one unified platform: RMM, MDM, monitoring, automation, remote access, patch management, security monitoring, and ticketing, plus built-in AI copilots. So "does it integrate with X?" usually means: you won't need X anymore.
Most platforms give you one piece and expect you to bolt the rest on. OpenFrame unifies the whole stack in one place, with AI copilots built in. Fewer logins, fewer bills, less duct tape.
Both. It's built for MSPs and MSSPs alike.
In the cloud, on US soil. Your data stays stateside.

MSP AI Agents

Yes. In production MSP shops today, 10% to 25% of tickets close before a human opens them. Thread alone has processed 173 million tickets across 750-plus MSP partners at 96% triage accuracy, handing back 490,000-plus technician hours. Agents own the low-risk, high-volume work (password resets, MFA enrollment, known installs, onboarding and offboarding) and flag anything that touches production data or needs judgment for a human to take.
On a five-person desk, reported deployments show $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Broader MSP adoption data adds ticket handling time cut by 45% and five to 12 points of margin, all from reclaimed capacity rather than headcount cuts.

AI MSP

MSPs use AI to triage and route tickets, cut alert noise, schedule patches, assist L1 security work, and draft client reports. Kaseya's 2025 benchmark found 30% already use it to eliminate tedious tasks, with ticket triage the most common starting point.
Most MSPs start with AI features inside their existing PSA, RMM, and ticketing systems rather than standalone products. Common categories include AI ticket triage, alert correlation, scripting assistants, and AI-native all-in-one platforms like OpenFrame that run intelligence across the whole stack.
Start with a readiness assessment, not a tool purchase. Confirm your ticket history is clean and your RMM, PSA, and monitoring systems connect. Then pick one high-volume, low-risk workflow, usually ticket triage, and pilot it on internal tickets before any client sees it.
Automate high-volume, low-risk tasks first. Ticket triage and alert noise reduction top the list because they run constantly and a human still resolves the underlying issue. Save security approvals, billing changes, and client-facing actions for later, always with a human in the loop.

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Deploy it. Love it.

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