POS systems, cameras, kiosks, and more are deployed to lower operational costs. But when they break, they require time-consuming and error-prone tech support. Instead of growing your service org, deploy AI agents that diagnose and solve issues on their own.
Find out how Canopy can lower the cost of service for your organization.
Murphy's Law may as well be written for remote technologies: Whatever can go wrong — with touch screens, card readers, networks, power sources, OS, software, and more — will go wrong. An analysis of 200K support tickets revealed 65% of remote device problems are from configuration, network, software, power, and OS issues. A closer look shows that each of these categories includes many more difficult-to-solve issues. Though these technical problems can be resolved, it requires expert know-how, time, and advanced tooling.
Hardware-specific and environment-specific failures round out the picture. Bill readers, touch screens, printers, cameras, and sensors each have distinct failure modes — all monitored, diagnosed and actioned through the same Canopy remote device management framework.
Learn more in Overcoming Downtime
Today, a network operating center, staffed with on-call technicians, manages fleet issues one device at a time as they come in from support centers.
Instead of triaging tickets and addressing incidents as they come, AI agents support ongoing monitoring and management. This reduces overhead costs and increases uptime, all while your team retains full control, including traceability and rollback
Remote device management with Canopy is different. For one, service teams can connect to the Canopy MCP server and simply ask how the fleet is doing, generating up-to-the-minute reports on-the-fly. They can put AI to work on their remote device data to identify issues and prioritize opportunities.
Canopy’s agentic AI is doing something we haven’t seen from other analytics or monitoring tools. During the MCP beta, we’ve been able to move from raw operational data to actionable insight much faster, helping us identify trends, investigate issues, and communicate value more clearly.
We have thousands of devices deployed across very complex and different environments. We have Apple and Android devices, Linux controllers, payment terminals, printers, etc. We needed a single platform with central visibility and management of all the components inside our solution.
Canopy has helped us really have a better understanding of the health of that kiosk and all the devices within it.
Accessing Canopy through the MCP interface is helping us rethink how we scale support. Our team can manage our fleet in less time and at lower costs, all while delivering better service.
From POS systems to security cameras to whatever sits at your edge, your team gets one view of every device across every location — and the tools to fix problems remotely, before anyone notices.
Make sure every order’s in with Canopy. Remote monitor and manage ([[RMM]]) your POS systems, [[kiosks]], [[kitchen display systems]], and drive-thru hardware. Every kind of [[QSR]] and restaurant technology can be managed from a single platform so that device downtime is minimized.
Help them shop without the signal drop. Canopy keeps retail tech running: Self-checkout kiosks, [[POS systems]], [[digital signage]], network gear, and any other retail solutions. Your tech support team gets a central view of multi-location retail device health, with the tools take remote action as needed.
[[Uptime]] needs security too. For access control panels, intercoms, cameras, and the network infrastructure supporting it all across every property, Canopy provides blanket visibility and control, so nothing is ever out of sight . When a panel goes offline or a device falls out of compliance, your team sees it before a tenant does.
Whatever [[connected products]] your business runs on, remote monitor and manage your fleet with full visibility into the health of every endpoint across every location. Should any device in your connected product fleet misbehave at any time, your team can use Canopy to resolve issues remotely.