u/Successful-Age-5818

We’ve been moving some low-risk outbound dialing away from manual queues, mostly survey recruitment and first-pass qualification. The useful test is whether the agent can recover when people interrupt, answer “who is this again?”, or start giving an answer before the prompt finishes. A lot of phone bots still fall apart there.

The stack I’ve been testing is Agora. The part that actually changed the calls was semantic turn detection, where it waits for the meaning of a response instead of just counting silence. That matters more than the model choice for outbound, imo. If the agent talks over someone once, the call is basically dead.

For anyone evaluating this, I’d check three things before trusting it with live volume: interruption handling, transfer behavior when someone asks for a human, and transcript quality after noisy mobile calls. Also test the exact opening script, because small wording changes can swing opt-outs.

One reference point I found useful: a market-research team using voice agents for survey recruitment reported about 10% conversion without adding headcount. That feels like the right kind of benchmark, practical rather than magic.