OpenFrame v0.7.8 Walkthrough: Live Demo

Presenters:
Vlad Marchenko
Michael Assraf
Wednesday 1 April
20:00
8:00 PM · 56m
America/New_York

You signed up for OpenFrame. A lot has changed since then.v0.7.8 is our biggest release yet and Michael Assraf (CEO) is going live to walk through the entire platform so you can see exactly what you're getting into before you deploy.Here's what you'll see:🖥️ Full Platform Walkthrough: See the entire OpenFrame stack in action, from device management and remote access to monitoring, alerting, and AI copilots.📋 Fleet Queries & Policies: The biggest addition in v0.7.8. Set policies across your fleet, query device state at scale, and manage everything through FleetMDM.🔔 Monitoring & Alerts System: Real-time device monitoring, automated alerting, patch management, and reporting dashboards. Complete visibility across your managed endpoints.🤖 Smarter Mingo: Adaptive command timeouts, execution conflict prevention, and overall faster AI interactions. See what's changed live.🍎 Mac Improvements: Scheduled scripts with cron support, bi-directional clipboard in remote sessions, and self-update support for Fae and MeshAgent.Plus a live Q&A at the end. Bring your questions... and popcornStick around after the session and we'll get you set up with beta access if you still don't have it. 👉 Join our Community: https://openmsp.slack.com/ssb/redirect 👉 More on OpenFrame: https://www.flamingo.run/openframe

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OpenFrame v0.7.8 Walkthrough: Live Demo
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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.
No. AI automates routine tickets, patching, and monitoring, but trust, accountability, and complex business judgment still need people. The future of managed services moves technicians from closing tickets to advising clients, which makes the human role more valuable, not obsolete.
AI decouples revenue from headcount. When automation handles routine work, labor costs grow slower than revenue, so margins expand as you scale. The 2026 Kaseya report found 53% of MSPs already automate ticketing, patching, and monitoring to protect margin.
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.
AIOps, or AI for IT operations, applies machine learning to monitoring data to correlate alerts and predict failures before downtime hits. Industry figures put the impact at roughly a 30% reduction in downtime and up to 50% faster ticket resolution.
Agentic AI is software that takes multi-step actions toward a goal, not just answering a prompt. In an MSP, it can work a ticket from intake to resolution, classifying, prioritizing, and resolving level-one and level-two issues, escalating to a human only when needed.
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.