Reception design
Define opening questions, service boundaries and the tone callers should experience first.
AI receptionist support for answering routine enquiries, triaging intent, directing the right conversation and escalating to a person when judgement is needed.
Give every enquiry a useful first response, then direct it with the context a human needs.

We shape AI receptionist around the conversation, system and team that sits on either side of it, so automation supports service rather than obscures it.
The assessment covers the capability areas below for AI receptionist.
Define opening questions, service boundaries and the tone callers should experience first.
Identify intent, urgency and information needed before a call is sent further.
Direct qualified enquiries to the right person, calendar, team or self-service answer.
Preserve context and hand over cleanly when judgement, empathy or a sensitive response is required.
The review defines the business job and evidence required for AI receptionist. The first phase produces a defined agent job, approved knowledge boundary, action limits and escalation test. Broader permissions, unsupported decisions and unrestricted system access are out of scope until failures are reviewed.
Our recommendations are grounded in recognised industry guidance, including OECD AI Principles.
Set the boundaries, audience and success conditions for AI receptionist.
Structure knowledge, prompts, actions and escalation paths around real requests.
Review conversations, failures and hand-offs with people who own the customer or team experience.
Bring representative requests, source material and the human hand-off owner.