Enterprise
Virtual Receptionist
One AI agent, configured once and deployed across every customer-facing channel. It answers questions grounded strictly in your knowledge base, performs a short list of guarded tasks such as booking an appointment or checking a status, and hands off to a real, scheduled agent for anything it should not attempt. The design choice that makes it work is that the agent is separate from the channel: one reasoning core is defined and governed once, and voice, chat, and ticket are thin transports into it. That is what lets a contact centre configure the agent per client and answer everywhere, without building the hard part three times.
What's inside
One brain, three transports
One channel-independent reasoning core, governed once. Voice, chat, and ticket are thin transports into the same agent, so its answers and its limits stay identical wherever a customer reaches it.
Grounded knowledge answers
The agent answers only from your approved knowledge base, and a groundedness gate holds back anything it cannot support with a source. A question it cannot ground becomes a handoff, not a guess.
Guarded light duties
A small, curated tool catalog: check a status, book, reschedule, or cancel an appointment, and capture a callback. Each tool runs inside limits you set rather than as an open-ended action.
Warm handoff to a human
When a request falls outside the agent's bounds, it hands off to a real, scheduled agent through a Service Desk callback or a warm transfer, carrying the context it already gathered.
No-code guarded authoring
A configuration surface where subject-matter experts tune the agent with no-code controls, while admins set hard ceilings the SME cannot exceed. Changes move through draft, preview, publish, and versioning.
Per client and line-of-business scoping
Each agent is scoped to a tenant, client, and line of business, so one contact centre runs a different agent per client from the same platform.
Blended human and AI forecasting
Capacity planning that counts both the AI agent and the human team, so a forecast reflects what the agent will deflect instead of assuming an all-human queue.
Usage metering and billing
Every agent interaction is metered and priced, so AI handling lands in the same client billing the rest of the platform already produces.