How RealBytes accelerated ticket triage with ConnectWise AI Agents
ConnectWise profiled Real Bytes as an early Asia-Pacific adopter of ConnectWise AI Agents, deployed across our help desk, SOC, NOC and PSA boards. The case study reports faster ticket triage, more first-touch resolution at Tier 1, less time spent writing resolution notes, fewer missed calls, and quieter alert noise — without a dedicated dispatcher.
2,000
Tickets and alerts per month across help desk, SOC, NOC and practice management
~5 min
Reported time to first touch, down from as long as one hour
5–10 min
Reported time to prepare resolution notes, down from about 30 minutes
Challenge
Real Bytes operates a fully remote help desk of five without a dedicated dispatcher. Three frontline technicians assessed and routed new requests, while senior staff reviewed tickets and high-volume SOC and NOC alert traffic. The team handles about 2,000 tickets and alerts in an average month. On a traditional help desk a Tier 1 technician could turn to a Tier 3 colleague for a quick answer; on a remote team that is much harder.
Solution
ConnectWise AI Agents were deployed across the help desk, SOC Services, NOC Services, PSA, and practice management boards. In PSA, the agents categorise and enrich tickets, use prior service context to suggest next steps, prioritise alerts, and draft resolution notes. The agent draws on ticket history and RMM telemetry to give technicians a clearer starting point.
Results
Time to first touch moved from as long as one hour to about five minutes. Resolution-note preparation moved from about 30 minutes to five to ten minutes. The team reports more first-touch resolutions at Tier 1, faster after-hours handling, fewer missed calls, and clearer routing without a dedicated dispatcher.
We were working to a one-hour SLO. Now, a ticket may be touched about five minutes after it hits the board. It is already starting to be worked on, whether a person has seen it or not.
[CW] AI Agents have given us the dispatcher we never had. The agent assesses each ticket's criticality, SLA, and scope, then identifies what needs attention.
A resolution note that might have taken 30 minutes to write now takes five to ten minutes. That is valuable time back for our technicians.
Why this matters
We run the AI we sell. This case study is third-party confirmation that our managed intelligence practice is grounded in real operational use inside our own help desk, not slideware. It is why we can talk to Australian businesses about adopting AI with the guardrails and operating discipline that make it stick.
Key takeaways for MSPs
- 1
Put AI where work enters. Real Bytes applied ConnectWise AI Agents across help desk, SOC, NOC and practice management boards, so triage begins the moment a ticket arrives.
- 2
Start with a clear operating measure. Time to first touch, routing time and note-writing time gave us practical ways to assess early results.
- 3
Keep people available for customers. Let AI handle the administrative work so engineers stay focused on the customer on the other end of the line.
What this means for our clients
Faster first response
Your ticket starts moving about five minutes after it lands, not up to an hour. You are not waiting behind a queue for someone to even look at it.
More fixed on the first call
Our Tier 1 technicians resolve more issues the first time, so you get fewer hand-offs, fewer call-backs and less repeating yourself.
Engineers back on your work
Resolution notes that used to take 30 minutes now take five to ten. That time goes back into your projects and your problems, not our paperwork.
People still answer the phone
AI carries the admin load so our engineers stay on the call with you. Missed calls are down, and the person you reach knows your context.

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