OpenFrame v0.7.8 Walkthrough: Live Demo
Presenters:
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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Frequently Asked Questions
How Are MSPs Using AI?
AI MSPMSPs 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.
What AI Tools Do MSPs Use?
AI MSPMost 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.
Where Should an MSP Start With AI?
AI MSPStart 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.
Which Tasks Should an MSP Automate First?
AI MSPAutomate 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.
Which AI Agent Tools Do MSPs Use in 2026?
MSP AI AGENTSCommon 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.
Does AI Replace MSP Technicians?
AI INFRASTRUCTURENo. 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.
How Should an MSP Start With AI Infrastructure Operations?
AI INFRASTRUCTUREStart with telemetry hygiene: full agent coverage, consistent naming, centralized metrics. Then run predictive monitoring alongside existing thresholds until the team trusts it, and add auto-remediation for your most common ticket types. Expect the labor savings to land within a few months, not weeks.
What Results Can MSPs Expect From AI-Powered Infrastructure Delivery?
AI INFRASTRUCTUREPublished industry data shows automated analysis and remediation cutting resolution times 40-60%, MTTR dropping 60% or more in strong first-year deployments, and predictive maintenance lifting uptime 10-20%. Results depend heavily on telemetry quality and how many remediation runbooks you automate.
Is AI Safe for MSP Client Data?
AI SAFETYIt 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.
How Do You Measure AI ROI in an MSP?
AI MSPSet 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%.