An IT support answering service handles incoming tickets and help-desk calls for MSPs and IT companies.
The phone is essential for client relationships but destructive to engineering productivity.
Your most expensive resource, trained engineers billing at $100 to $200 per hour, are answering calls about password resets, printer issues, and "how do I share a file" questions.
That is not a good use of their skills or your payroll.
MSP contracts often include SLAs for after-hours response.
Staffing a 24/7 helpdesk with actual humans costs $80,000 to $150,000 per year depending on coverage depth. Most small MSPs cannot justify that, so they rely on on-call engineers who burn out fast.
When different team members answer the phone, triage quality varies wildly.
One person classifies a single-user Outlook issue as critical. Another misses a multi-site outage because the caller understated the severity. You need consistent intake.
You sign 10 new clients this quarter.
Call volume increases 30%. But you cannot hire another receptionist until revenue catches up. In the meantime, response times slip, SLA metrics degrade, and existing clients notice.
A client describes a complex issue on the phone.
The person who answers scribbles a note, creates a ticket with half the details, and the engineer assigned to it has to call back to get the full picture. Doubled effort, delayed resolution.
Automated triage, structured ticket capture, and intelligent escalation.
You define your triage rules: total network outage affecting all users is P1, single-user application issue is P3, billing inquiry is P4. The AI asks the right questions to determine severity and routes accordingly.
The AI collects client name, company, affected system, number of users impacted, error messages, when the issue started, and what they have already tried. Your engineer gets a complete brief before they even look at the problem.
P1 and P2 issues trigger immediate notification to your on-call engineer via SMS, phone call, or webhook. You control the escalation schedule and can set different paths for nights, weekends, and holidays.
When you are working on a widespread issue, update the AI with a status message. Every incoming call about that issue hears the latest update automatically, reducing callback volume by up to 80% during major incidents.
Every call is answered within seconds and timestamped. The structured capture process means your SLA clock starts ticking with full documentation, not a vague voicemail that arrives an hour later.
Automated triage, structured ticket capture, and intelligent escalation.
You define your triage rules: total network outage affecting all users is P1, single-user application issue is P3, billing inquiry is P4. The AI asks the right questions to determine severity and routes accordingly.
The AI collects client name, company, affected system, number of users impacted, error messages, when the issue started, and what they have already tried. Your engineer gets a complete brief before they even look at the problem.
P1 and P2 issues trigger immediate notification to your on-call engineer via SMS, phone call, or webhook. You control the escalation schedule and can set different paths for nights, weekends, and holidays.
When you are working on a widespread issue, update the AI with a status message. Every incoming call about that issue hears the latest update automatically, reducing callback volume by up to 80% during major incidents.
Every call is answered within seconds and timestamped. The structured capture process means your SLA clock starts ticking with full documentation, not a vague voicemail that arrives an hour later.
Call summaries are sent via email or webhook in structured formats that feed into ConnectWise, Autotask, Freshdesk, Zendesk, and other ticketing platforms. No manual ticket creation from phone notes.
Prospective clients calling about your managed services are handled separately from support calls. The AI captures their company details, current IT setup, and pain points so your sales team has context for the follow-up.
From midnight outages to Monday morning password resets.
Transparent pricing for it support & msps businesses. Start with a 14-day free trial. No credit card required.
All plans include a 14-day free trial. You only pay for calls we actually answer.
Calculate your savingsThe AI does not diagnose technical problems. It triages based on rules you define: "If more than 5 users affected, classify as P1. If single user and not a line-of-business application, classify as P3." It asks the right questions (how many users, which systems, business impact) and applies your rules consistently. This is the same intake process your best helpdesk receptionist would follow, just without variation in quality.
You configure your on-call schedule in the dashboard. Different engineers can be assigned to different time blocks (weeknights, weekends, holidays). When a P1 or P2 call comes in, the AI notifies whoever is currently on call via your configured method (SMS, phone call, email, or webhook to PagerDuty/Opsgenie).
Yes. When you are working on a known issue, you update the AI with a status message through the dashboard. Every caller reporting the same issue hears the latest status and is told your team is actively working on it. This drastically reduces the volume of repeat calls during major incidents.
OnCallClerk sends structured call summaries via email or webhook. The webhook output is formatted to work with popular PSA and ticketing platforms. Many MSPs configure a webhook to automatically create tickets in their PSA with all the captured details, severity classification, and full transcript.
The AI does not attempt to provide technical support. Its role is intake, triage, and routing. If a caller asks a technical question, the AI explains that a qualified engineer will follow up and ensures all the details are captured so the engineer has full context. For P1 issues, the engineer is notified immediately.
Every call is answered within seconds and fully timestamped. The structured capture means your SLA response clock starts with documentation from the moment of the call, not from whenever someone checks voicemail. For MSPs with contractual response time guarantees, this is often the most valuable feature.
Why MSPs and IT support firms need round-the-clock incident intake by phone.
What managed service providers should evaluate before adopting an AI phone agent.
Cost comparison of AI vs hiring a dedicated tier-1 phone tech at your IT support firm.
See how much your it support & msps business could save with AI phone answering.
Explore our virtual receptionist and phone answering service pages for detailed feature breakdowns.
Most it support & msps businesses roll out AI phone coverage in stages. You don't need to hand over every it support & msps call on day one.
Forward calls to the AI only when your it support & msps line is busy or unanswered. You keep handling what you already handle. The AI catches everything else that would have gone to voicemail. Zero risk, immediate it support & msps lead capture win.
Route it support & msps calls outside working hours straight to the AI. Evenings, weekends, holidays. This alone typically doubles captured it support & msps leads without changing a single thing about your daytime workflow.
Once the transcripts show the AI is handling it support & msps calls well, forward your main line to it full-time. Configure emergency and priority transfers so the calls that genuinely need you still reach you. Everything else becomes a structured it support & msps lead in your inbox.
24/7 helpdesk phone triage and ticket capture. Set up in 15 minutes, integrate with your PSA.