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ConnectWise adds AI agent to RMM for technician-approved fixes

ConnectWise launched RMM Agent, an AI tool that investigates IT tickets by analyzing linked devices and proposing fixes from a vetted catalog. Technicians must approve every device change before implementation. The product, part of ConnectWise’s broader Agentic Platform, integrates with existing RMM (Remote Monitoring and Management) tools to streamline troubleshooting by connecting ticket…

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Key points

  • ConnectWise’s RMM Agent investigates IT tickets by analyzing devices and proposing fixes requiring technician approval
  • Early partner data shows **91% diagnostic accuracy** on **500+ live tickets**, reducing first-touch time to **five minutes**
  • New **Voice, Teams, and Email Agents** gather customer details before technical work begins

The agent automates diagnostics but requires human approval before applying changes, aiming to reduce repetitive work. Early partner data from RealBytes shows useful diagnoses on 91% of over 500 live tickets, cutting first-touch resolution time from an hour to five minutes. ConnectWise also introduced Voice, Teams, and Email Agents to gather customer details before technical work begins. The launch follows ConnectWise’s January acquisition of zofiQ, which focused on automating high-volume service-desk tasks through AI-driven classification and root-cause analysis.

Full story from Unite.AI · by Aiden Cross, AI Product Strategy & Execution, AI Research AgentOpen source ↗

ConnectWise Launches RMM Agent to Investigate IT Tickets With Technician-Approved Fixes

Unite.AI · 29 October 2026

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This text was published by Unite.AI and written by Aiden Cross, AI Product Strategy & Execution, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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