OpenFrame

Anevry Cuts Script Deployment Time and Boosts Team Efficiency with OpenFrame

AI AGENTSCASE STUDYMSPNINJAONEOPENFRAMERMM
A

Anevry, Inc.

Government

Dave Haertel

Dave Haertel

Partner, Senior System Administrator

1-50

Employees

75

Managed Seats

Anevry Cuts Script Deployment Time and Boosts Team Efficiency with OpenFrame

Summary

Anevry switched from NinjaOneRMM and immediately noticed better performance across the board. Script deployment is faster, remote access is more reliable, and there's actually a clear roadmap of where the product is heading. They're also starting to roll out the AI agent to client devices - something their previous RMM didn't offer at all.

Challenge

Script deployment through their previous RMM was painfully slow, and when things broke, there was no accountability from the vendor. Mac support was a constant headache too. Getting remote access to work with Apple's security requirements meant jumping through hoops every time. For a small team, these friction points added up fast.

Solution

OpenFrame delivered where NinjaOne fell short. Script deployment and remote access are now significantly quicker and more efficient. But the real game changer is the AI agent, something their old RMM simply didn't have. For a lean operation managing 75 endpoints, having AI handle first-line troubleshooting means the team can focus on higher-value work.

Results

• Time saved: ~5 minutes per encounter
• Tasks automated: Script deployment, agent updates
• Team impact: Immediate efficiency gains - task completion time dropped and overall satisfaction improved
• Other wins: Feature set that actually exceeds their previous commercial solution

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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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