Prompt framework
What is the best AI voice receptionist prompt structure?
The best AI voice receptionist prompt is a clear operating brief that defines the business, approved facts, caller questions, booking and routing rules, urgent-call triggers, required disclosures, prohibited claims, CRM fields, and the exact point for human transfer. It should use short explicit instructions and test examples, then be revised from reviewed call outcomes rather than improvised during calls.
A practical starter framework
Identity and facts: business name, services, hours, service areas, pricing boundaries, and only the statements the agent is approved to make.
Conversation and workflow: opening, required intake fields, follow-up questions, booking rules, callback timing, CRM output, and confirmation of the next step.
Safety and recovery: disclosure language, prohibited advice or promises, urgent-call triggers, uncertainty fallback, human transfer, test calls, and version review.
Call recording and records
Can an AI receptionist record calls?
An AI receptionist can record calls when recording is enabled and the business follows the consent and disclosure rules that apply to each caller and location. The useful record can include optional audio, a transcript, a concise summary, captured contact details, qualification answers, booking status, and the next follow-up task. Cortana Solutions configures what is captured, who can access it, how long it is retained, and when a caller should be transferred to a person.
Implementation controls
Call recording remains optional; the business approves when audio should or should not be retained.
Disclosure and consent language must match the locations involved and be approved before launch.
Transcript, summary, access, retention, deletion, and human-escalation rules are configured around the operating workflow.