I've been researching AI voice sales agent development and noticed that real-world performance often differs from demos and early pilots. While voice agents can handle lead qualification, follow-ups, and basic sales conversations, achieving natural dialogue and consistent conversion seems challenging.
For those who've worked on or evaluated AI voice sales agents:
What technical or design choices made the biggest difference in call quality?
How do you balance automation with a human-like conversation flow?
What common mistakes slow down adoption or hurt trust with prospects?
I'm looking for insights based on real implementations—what worked, what didn't, and what you'd do differently next time.
