OpenFrame v0.5.2: Live Demo of AI-Powered IT Management for MSPs

Presenters:
Michael Assraf
Saturday 9 February
00:00
1:18 AM Β· 1m
America/New_York

Michael Assraf (CEO) walks through the latest OpenFrame release and show what the platform can actually do.Here's what we cover:πŸ”§ The OpenFrame Stack: How we're building a complete IT and security platform on open source (Tactical RMM, Mesh Central, FleetMDM, OS Query), all forked, code-scanned, and signed by us.πŸ€– Mingo AI Goes Independent: Our biggest update yet. Mingo is no longer just a ticket assistant β€” he's a fully autonomous agent that can query devices, check for updates, run scripts, and pull event logs across your entire fleet. We demo it all live.πŸ’¬ Fae in Action: Watch our end-user AI agent handle help desk tasks in real time, with configurable guardrails so you stay in control of what runs on your clients' machines.πŸ“ What's Coming in Q1: PSA integration, knowledge management, scheduled scripts, automated patching, Chocolatey and Homebrew bundling, and major Mac agent improvements.πŸ’° Pricing Philosophy: Tooling stays free and open source. Commercial AI layer priced to keep you at least 50% below what you're paying your current vendors.Plus a live Q&A covering Mac support, FleetMDM configuration, reboot prompts, software deployment, and production readiness.πŸ‘‰ Join our Community: https://openmsp.slack.com/ssb/redirectπŸ‘‰ More on OpenFrame: https://www.flamingo.run/openframe

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OpenFrame v0.5.2: Live Demo of AI-Powered IT Management for MSPs
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Frequently Asked Questions

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.
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.
An AI agent for an MSP is software that reads a ticket, decides the action, performs it across your tools, and records the result without a technician driving each step. It differs from a chatbot or copilot by taking action, not just suggesting one.
Yes, for low-risk categories. MSPs report 10% to 25% of tickets closed without a tech opening them, covering password resets, MFA enrollment, and known installs. Anything needing judgment or touching production data still escalates to a human.
Common platforms include Thread for triage, Rewst and Power Automate for workflow automation, NeoAgent for L1 resolution, and ConnectWise zofiQ inside its PSA. OpenFrame runs agents natively inside an all-in-one platform rather than bolting them onto separate tools.
Deployment data on five-person service desks shows $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Savings come from reclaimed capacity, not headcount cuts.
No. AI absorbs queue triage and repetitive fixes, but novel failures, judgment calls like production failovers, and client communication stay human. Technicians shift from clearing alert queues to reviewing exceptions, project work, and higher-value client engineering.