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LNC DATA Slashes RMM Costs While Boosting Technician Efficiency by 20%

AI INTEGRATIONATERACASE STUDYCOST SAVINGSMSPOPENFRAMERMM
LNC DATA LLC

LNC DATA LLC

Healthcare

Vasile Gavrila

Vasile Gavrila

CEO

1-50

Employees

600

Managed Seats

LNC DATA Slashes RMM Costs While Boosting Technician Efficiency by 20%

Summary

LNC DATA found their biggest wins with OpenFrame's AI integration. Their technicians use Mingo to run backend commands and troubleshoot issues faster than ever before, cutting down the back-and-forth that usually eats up support hours. The vulnerability access feature also gives them real-time visibility into security gaps across their healthcare clients - critical when you're dealing with HIPAA-sensitive environments.

Challenge

Like most MSPs, LNC DATA was watching their RMM tool costs climb year after year while getting the same (or less) value in return. Managing 600 endpoints in healthcare means you can't cut corners on tooling, but paying premium prices for proprietary solutions was squeezing their margins. The math just wasn't working anymore, and something had to change.

Solution

The AI became the team's go-to feature almost immediately. Instead of manually digging through logs and running diagnostic steps one by one, technicians use OpenFrame's AI to execute backend commands and troubleshoot issues directly. It's not about fancy automation workflows yet - Vasile's team hasn't even set those up. The value is in the AI doing the heavy lifting on day-to-day troubleshooting, getting to root causes faster without the usual guesswork.

Results

• Time saved: ~8-10 hours per week in reduced troubleshooting time across the team
• Ticket resolution: 30% faster average resolution time on common issues
• Vendor cost reduction: On track for 50-60% reduction in RMM tooling costs compared to previous stack
• Team efficiency: Technicians handling 20% more tickets without adding headcount

Key Moments

The Hidden Costs of Traditional RMM Tools

Vasile Gavrila

Vasile Gavrila

CEO

Can AI Solve the Biggest Headache in IT Support?

Vasile Gavrila

Vasile Gavrila

CEO

How AI can automate IT vulnerability patching

Vasile Gavrila

Vasile Gavrila

CEO

Giving AI Full Control of Your Infrastructure

Vasile Gavrila

Vasile Gavrila

CEO

Will your software scale or lag?

Vasile Gavrila

Vasile Gavrila

CEO
Vasile Gavrila

Vasile Gavrila

CEO

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Frequently Asked Questions

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.

AI Safety

It can be, with governance. Keep a human in the loop on high-risk actions, log every automated step for audit, and choose platforms that keep your data yours with no vendor lock-in. Pilot on internal data first so you catch issues before client systems are involved.

AI for MSPs

Set a baseline before rollout, then track tickets closed per technician, mean time to resolution, percentage of tickets resolved with no human touch, technician hours reclaimed, and cost per ticket. AI-driven automation commonly cuts operational cost per ticket by 25 to 40%.

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.

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