A completed call is not a completed customer request
Why a polite AI voice call can still create repeat contact, missed work, and supervisor clean-up.
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Operating production agents in the real world.
Practical writing on agent monitoring, unresolved customer work, recovery playbooks, operator corrections, evaluation, and safe production improvement.
AI voice agent monitoring: what to measure
A practical guide to finding AI voice calls that create repeat contact, avoidable callbacks, and unfinished work.
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Stop letting voice agents claim work is complete
A practical rule for preventing false confirmations and turning a bad customer call into a test before the next release.
Read field noteHow to test AI voice agents before production
Test the calls that create repeat contact: incomplete data, failed actions, awkward transfers, and promises the system cannot keep.
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Human handoff is a production workflow
A transfer that makes a caller repeat themselves creates more work. Design the handoff around the person who has to finish it.
Read field noteP95 latency measures when callers stop trusting the call
Why median AI voice-agent latency describes the demo, while tail latency exposes the calls that create hangups, repeat contact, and missed work.
Read field noteThe voice-agent incident record
What to capture after a risky AI voice call so a customer can be recovered and the same failure can be tested.
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