Hot Ash Studios Cuts Tool Sprawl with AI-Powered First-Line Support

Hot Ash Studios

Hot Ash Studios

Other

Jeremy Jones

Jeremy Jones

CEO

1-50

Employees

30

Managed Seats

Hot Ash Studios Cuts Tool Sprawl with AI-Powered First-Line Support

Summary

Jeremy Jones, CEO of Hot Ash Studios, runs a lean one-person MSP serving small businesses across healthcare, home services, and construction. With 20 years of IT experience spanning enterprise infrastructure and software development, Jones knew the challenges of managing multiple clients without the overhead of bloated vendor contracts and fragmented toolsets.

Facing the reality of managing approximately 30 endpoints across 10 small business customers - including a chiropractor running an on-premise EMR system, kitchen remodeling firms, and flooring companies - Jones needed a unified platform that could scale with his business model. OpenFrame's AI-powered agent, Fae, provided the breakthrough he was looking for: automated first-line support that handles common issues before they require his direct intervention, all while consolidating his previously scattered tech stack into a single, cost-effective solution.

Challenge

As a solo MSP operator running Hot Ash Studios as a side business, Jeremy Jones faced the classic dilemma of tool sprawl and scalability. He was juggling multiple platforms - Zoho Assist for remote access, various monitoring tools, and disparate systems that each handled only part of his operational needs. While Zoho Assist served him well at its price point, it couldn't provide comprehensive monitoring across his diverse client base.

The fragmented toolset created inefficiencies that directly impacted his ability to scale. Every customer touchpoint required his personal attention, from basic troubleshooting to complex issues like Windows 11 guest share problems affecting his chiropractor client's EMR system. With customers spanning multiple industries and technical environments, Jones needed a solution that could triage issues intelligently without forcing him into expensive enterprise contracts designed for much larger MSPs. The cost and complexity of platforms like NinjaRMM or Datto were prohibitive for his business model, yet he still needed enterprise-grade capabilities to serve his clients professionally.

Solution

Jones discovered OpenFrame through social media and immediately saw its potential to address his core challenges. He deployed OpenFrame's AI agent, Fae, across his customer endpoints to handle first-line support autonomously. The platform's unified approach meant he could consolidate monitoring, remote access, and AI-powered troubleshooting into a single solution - eliminating the tool sprawl that had been hampering his efficiency.

OpenFrame's trial-friendly SaaS model allowed Jones to test the platform without commitment, aligning perfectly with his aversion to bloated vendor contracts. He put Fae through real-world scenarios with actual customer issues, including complex Windows registry problems affecting network share access on his chiropractor client's EMR system. The AI agent demonstrated its ability to diagnose issues when prompted like an end user, identify root causes, and execute fixes - though Jones appreciated having the control to override recommendations when his IT expertise dictated a different approach.

The platform's ability to handle both basic and complex troubleshooting meant Jones could finally step back from being the first point of contact for every issue. He's now positioned to expand his commercial operations once OpenFrame rounds out its feature set with integrated ticketing and PSA capabilities, completing his vision of a truly unified MSP platform.

Results

Hot Ash Studios successfully reduced direct customer touchpoints by deploying Fae to handle first-line support across client endpoints. Issues that previously required Jones to remote in with Zoho Assist and manually troubleshoot are now triaged and often resolved by the AI agent before escalation is necessary. In testing with real customer problems, Fae demonstrated strong diagnostic capabilities, correctly identifying a Windows 11 guest share security issue affecting EMR access and proposing registry-level fixes.

Jones is actively consolidating his fragmented tool stack into OpenFrame's unified platform, moving away from the patchwork of monitoring tools and remote access solutions he previously relied on. The cost-effective pricing model has proven sustainable for his one-person operation, avoiding the prohibitive contracts of enterprise MSP platforms while delivering comparable functionality. With approximately 10 of his 30 endpoints already migrated to OpenFrame, Jones is expanding deployment across his remaining customer base.

Looking forward, Jones has committed to taking Hot Ash Studios fully commercial once OpenFrame completes its ticketing and PSA integration. His 20-year IT background gives him confidence in the platform's technical foundation, and the AI-powered automation aligns perfectly with his goal of scaling a lean MSP operation without sacrificing service quality. The solution has transformed his side business into a scalable operation ready for growth.

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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.
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%.
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.
Auto-remediation means the platform executes known fixes itself, like restarting hung services, clearing temp files, or retrying failed backups, then logs and documents the action. It typically covers the predictable majority of level-one infrastructure issues while escalating anything requiring judgment.

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