PyAI Solutions / Phone agents
AI
receptionist

Give callers a consistent greeting and a clear next step, including outside business hours.
Make it work for your team
The shape of
a useful first version.
Start with a bounded job, give the product the context it needs and test the full path before extending the workflow.
- 01
Describe the receptionist
Set persona, hours, policies, and escalation rules in the managed Agent workflow.
- 02
Ground answers
Connect FAQs, services, pricing, and booking policies so the agent answers from your content.
- 03
Route calls
Bring your number or use managed telephony, then send outcomes to your CRM.
See the workspace behind it
Make the setup
your own.
Write the instructions, choose a voice and connect the knowledge and tools for the job. Then test the conversation before connecting it to your callers.
Explore AgentsFollow the real Console with a sample workspace, narrated by Aria, our Natural English voice.
The products behind the workflow
Connected where it matters.
Yours to build around.
Explore the products that support this solution, including real demos, configurable examples and current integration guidance.
A little more detail
Before your
first rollout.
Keep the first workflow focused. Test representative inputs, review the output and make the next step clear to your team.
What can the AI receptionist handle?
It answers every inbound call, books appointments, answers FAQs from your own content, and warm-transfers to a human with context when a call needs one.
Can I keep my existing phone number?
Yes. Bring your number or use managed telephony, then send call outcomes to your CRM.
How do I control what it says?
Set the persona, hours, policies, and escalation rules in the managed Agent workflow, and connect your FAQs, services, pricing, and booking policies so the agent answers from your content.
Make this workflow your own.
Sandbox keys never bill. Fund a live key when you go to production.