pawel-cell/vapi-phone-agent-use-cases

This repository is a reference collection of 80 ideas for building AI-powered phone agents using a platform called Vapi, which handles the telephony and voice side of automated phone calls. The collection is split into two lists of 40 ideas each: one for inbound scenarios, where the AI answers incoming calls, and one for outbound scenarios, where the AI places calls to people. The inbound list covers situations like reception and call routing, intake forms, scheduling appointments, customer support, lead qualification, and triage, where a caller needs to be directed to the right place or person. The outbound list covers situations like following up with people who showed interest but did not convert, sending reminders, recovering lost customers, conducting surveys, handling renewals, and reaching out quickly after a new inquiry comes in. The README frames these as swipe files, meaning ready-made starting points you can pick from and adapt rather than build from scratch. The suggested approach is to choose a single use case, define clearly what the caller is trying to do, connect the phone agent to the relevant system (a calendar, a CRM, a support tool), and ship a minimal version first. The README recommends starting with one caller type, one business process, one measurable goal, and one clear path to a human if the agent cannot handle the situation. Then expand from there once that first workflow is working reliably. The repository contains no code, only the two markdown documents with the use case lists. It is a planning and idea resource rather than a technical implementation.