AI Agent Monitoring
AI Voice Agent Monitoring for Production Calls
Your AI agent doesn't stop being our responsibility when it goes live. A voice agent can be working perfectly on Monday and quietly failing by Thursday — a calendar token expires, a transfer number changes, a carrier route degrades. Nobody notices until customers complain.
Monitoring is how we catch those problems early. It combines automated system checks that run continuously with a human team that investigates and fixes what the checks find.
What we watch
A view of the kind of dashboard we use to track agent performance. Figures shown are illustrative data, not customer results.
Signals we track
Agent health
Is the agent reachable and answering? Checked automatically on a schedule.
Call performance
Call volume, duration and completion patterns compared with the agent's normal baseline.
Failed calls
Dropped calls, errors and conversations that ended without a useful outcome.
Transfer health
Whether transfers connect, or ring out to an unavailable line.
Appointments & leads
Whether bookings and lead records are actually being written to your systems.
Integrations
CRM, calendar and webhook errors surfaced instead of silently ignored.
Response time
How long callers wait for the agent to respond — the biggest driver of hang-ups.
System health
Telephony, model and platform status across the whole call path.
From signal to fix
- 1Monitor
- 2Detect
- 3Alert
- 4Resolve
- 5Optimize
Automated checks monitor and detect. Alerts go to the OpsBoost team. Engineers investigate and resolve during support hours defined in your plan. Patterns across calls feed back into prompt, knowledge and routing improvements.
What monitoring is — and isn't
Automated monitoring runs around the clock. It checks systems and call outcomes; it doesn't mean a person is listening to every call live.
Human support means OpsBoost engineers review alerts, investigate failures and make fixes within the response times of your plan. We'll tell you exactly what those response times are before you sign anything.
Example incident
System:Transfer success rate drops sharply over two hours compared with baseline.
System:Alert raised: transfers to the sales line are ringing without answer.
AI agent:Fallback applied: callers offered a priority callback instead of a failed transfer.
System:Engineer confirms the business changed its sales line number; routing updated and tested.
Illustrative scenario showing how an issue would be handled.
Frequently asked questions
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