OpenFrame Gen1 is Here

Updated: July 2026

Introduction: High Costs and Operational Risks of Switching Tools

For Managed Service Providers (MSPs), switching to a new platform or tool isn’t a decision taken lightly. The costs go beyond financial investment — operational disruptions, retraining staff, and compatibility risks often outweigh the benefits of change. In fact, studies show that 85% of MSPs cite switching costs as a major barrier to adopting new solutions.

This reluctance has created a challenge for software providers attempting to enter the MSP market. The vendor lock-in trap makes renewal cycles increasingly expensive, compounding the problem. While many platforms claim to be “unified,” they often fail to address the specific needs of MSPs. The one-size-fits-all myth persists because it sounds right – but instead of reducing complexity, these incomplete solutions add more friction.

Why Partial Platforms Fail: The Need for Completeness

MSPs operate in a high-stakes environment where reliability and efficiency are paramount. Partial platforms fall short because they:

  1. Fragment Operations: Introducing new tools that don’t integrate seamlessly with existing systems increases complexity rather than reducing it.
  2. Increase Downtime: Switching tools often leads to operational delays while teams adapt to the new system, disrupting service delivery.
  3. Demand More Training: Staff must learn new workflows, which takes time and often impacts productivity during the transition.

These issues are amplified by the fragmented nature of the MSP ecosystem, where providers rely on multiple vendors to meet diverse client needs. A partial solution simply doesn’t fit into this complex puzzle.

Open Source as a Solution: Lowering Barriers with Flexibility

Open-source solutions offer a compelling alternative for MSPs hesitant to switch platforms. Unlike proprietary tools, open-source software provides:

  • Seamless Integration: Open-source platforms are designed for adaptability, making it easier to connect with existing systems.
  • Customizability: MSPs can tailor these tools to meet their specific operational requirements without being limited by vendor-imposed constraints.
  • Lower Risk: The transparency of open-source code ensures that MSPs have full control over implementation, reducing the likelihood of unforeseen compatibility issues.

For example, an MSP using a proprietary ticketing system that lacks integration options can switch to an open-source alternative with an API-friendly architecture. This allows the new tool to work seamlessly with existing workflows.

The Hidden Costs of Switching

Even with the best intentions, switching tools carries hidden costs that MSPs must consider:

  1. Knowledge Gaps: Staff familiarity with existing tools means efficiency. Transitioning to a new system often leads to a temporary decline in productivity as teams adjust.
  2. Client Impact: Any disruption in service delivery during the transition can erode client trust, particularly for MSPs that manage critical IT infrastructure.
  3. Financial Outlay: Beyond the upfront cost of new tools, MSPs must account for retraining expenses and potential downtime during the switch. A structured cost optimization plan can help offset these transition costs.

These hidden costs underscore why MSPs prioritize stability over innovation when evaluating new solutions.

Why MSPs Need Fully Integrated Solutions

For a new platform to succeed in the MSP market, it must offer more than just incremental improvements. It needs to:

  1. Be Comprehensive: Address all major operational needs without requiring additional tools.
  2. Minimize Disruption: Integrate seamlessly with existing workflows to reduce downtime and retraining.
  3. Provide Long-Term Value: Demonstrate a clear ROI that justifies the effort of switching.

One example is a unified monitoring and management platform that consolidates multiple functions — such as ticketing, patching, and remote access — into a single interface. By eliminating the need for separate tools, such a platform can significantly reduce operational complexity.

The Bigger Picture: Building Trust in MSP Solutions

MSPs are looking for solutions that don’t just promise efficiency but deliver tangible, immediate benefits. Software providers must recognize the stakes involved in switching and design platforms that minimize disruption while maximizing value. Trust is critical in this process — solutions must prove their reliability before MSPs will consider adopting them.

Conclusion: The Demand for Seamless Platforms

Switching costs are a significant hurdle for MSPs, but they’re not insurmountable. By embracing fully integrated and flexible solutions — particularly those rooted in open-source technology — software providers can lower the barriers to adoption. For MSPs, the promise of reduced complexity and enhanced efficiency will always outweigh the risks of change, provided the solution delivers on its promise.

Michael Assraf

Founder and CEO

Hey everyone, I'm Michael - founder and CEO of Flamingo. Before this, I built Vicarius, a cybersecurity company focused on vulnerability remediation, where I raised over $60M in funding. Working closely with service providers through that journey, I saw firsthand how MSPs were losing money to vendor payouts and inefficient systems - and that's when the idea for Flamingo clicked. I set out to build an open-source platform that dramatically increases MSP margins while helping them deliver better service to their clients.

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Frequently Asked Questions

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.
Both. It's built for MSPs and MSSPs alike.
Most platforms give you one piece and expect you to bolt the rest on. OpenFrame unifies the whole stack in one place, with AI copilots built in. Fewer logins, fewer bills, less duct tape.
In the cloud, on US soil. Your data stays stateside.

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.