| AI receptionist | Simple intake, FAQ answers, routing prompts, summaries, and low-risk calendar checks. | Urgent judgment, upset callers, unclear requests, bad tool responses, and calls that need a human owner. | The workflow is narrow and a human reviews exceptions quickly. |
| Traditional answering service | Live human answer, message capture, after-hours coverage, and basic call forwarding. | Messy notes, weak callback ownership, generic scripts, and limited visibility into quality. | The main problem is phone coverage and the script is easy to follow. |
| Managed support team | Missed calls, intake, dispatch notes, callbacks, tickets, follow-up, QA, and human escalation. | Requires more workflow mapping before launch because agents need rules, access, and review. | The business needs coverage plus accountability for what happens after the first answer. |