Moonscape Business Solutions Cuts Response Time by 40% with Unified Remote Management

MOONSCAPE BUSINESS SOLUTIONS INC

MOONSCAPE BUSINESS SOLUTIONS INC

Other

Artem Rakhlev

Artem Rakhlev

Founder & CTO

1-50

Employees

500

Managed Seats

Moonscape Business Solutions Cuts Response Time by 40% with Unified Remote Management

Summary

Moonscape Business Solutions manages fragmented IT infrastructure across travel industry clients where each operates with their own technology stack. OpenFrame's unified remote management eliminated on-site visits while providing stable, unattended access to 142 endpoints, saving 6 hours weekly and boosting client satisfaction from 92% to 97%.

Challenge

Before OpenFrame, Artem faced a problem most co-managed IT providers know: clients required him to use their internal technologies exclusively, but those tools were inadequate and fragmented. Licensing limitations meant incomplete coverage. Budget constraints prevented deploying enterprise tools across the entire user base.
The result? Constant context switching between different remote access systems. Some endpoints had no remote management at all, forcing on-site visits for issues that should've taken 5 minutes to resolve remotely. Response times dragged, costs piled up, and client satisfaction stagnated at 92%.
With 20 years of IT experience, Artem had worked with enterprise monoliths like ManageEngine and hated them. Dishonest sales tactics, pricing models that penalized co-managed IT, and bloated platforms that didn't perform. Moonscape needed a unified remote management layer without massive upfront investment or per-seat licensing that killed scale.

Solution

OpenFrame became Moonscape's single pane of glass for remote management across all 142 endpoints, regardless of which client they belonged to or what other tools were in place.
The game-changer was unattended remote desktop access. Where client tools required active user sessions or failed on locked screens, OpenFrame's remote control worked consistently, even on devices sitting idle in back offices or server rooms. Artem could troubleshoot and resolve issues without coordinating with end users or dispatching technicians on-site.
For co-managed IT where Artem oversees operations across multiple semi-independent entities (hotels, distribution centers, billing departments), centralized control was critical. No more logging into four different platforms or hunting through limited client portals.

Results

Time & Cost Savings:
• 6 hours per week saved in response time
• 40% reduction in time-to-resolution
• Eliminated on-site visits for 60-70% of tickets
• Zero fuel costs and drive time for routine maintenance

Client Impact:
• Client satisfaction jumped from 92% to 97%
• Issues resolved in minutes instead of hours
• Unattended access means fixes happen even when users are offline

Operational Wins:
• Single interface across all clients reduces training overhead
• Scalable foundation for expanding to 1,500-2,000 endpoints

"OpenFrame is a new tool that has immense potential as it develops to fundamentally impact IT service models. The remote desktop administration is one of the strongest and most stable features, especially for unattended endpoints." — Artem

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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.
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%.
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.
They are safe when scoped. Run a six to ten week shadow-mode pilot, automate only proven low-risk categories, and keep L2 and L3 human. Agents that fail are usually the ones turned loose on the full queue with no review period.
Start 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.

Try it. Break it.

Deploy it. Love it.

And finally, stop paying $14K/month for tools that fight each other.