Built as an operating system, not a chatbot.
This is the actual flow behind every AI Employee LUIXER deploys — the same architecture whether it's answering a call, following up on WhatsApp, or handing off to a human.
Sarah, AI Receptionist.
Belita Properties' AI Employee
Sarah is the configured identity of the AI Employee running at Belita Properties, a UAE real estate brokerage — LUIXER's own first-tenant deployment. Not a third-party customer story: Sarah is the environment where the flow described on this page was built, tested, and refined before it was ever offered to another organization.
Sarah answers real inbound calls and WhatsApp messages, qualifies leads by intent, area, and budget, and books property viewings — running on the exact same LUIXER AI Operating System every customer uses, with no special-cased code path.
Inbound call flow
- 1Caller reaches the AI Employee's own number — no hold music, no voicemail
- 2The AI Employee holds a real qualifying conversation, following the workflow rules configured for that intent
- 3Details are captured in structured form as the conversation actually unfolds, not in a fixed question order
- 4A booking or structured lead is created once the conversation actually completes
- 5The call hands off to a human teammate the moment it needs judgment a workflow hasn't been given authority over
WhatsApp / email follow-up flow
- 1The same conversation continues on WhatsApp or email — the customer never has to re-explain who they are
- 2Scheduled follow-ups go out on their own timeline, without a human having to remember to send them
- 3Higher-stakes messages are drafted for human approval before they're sent, not sent automatically
- 4Full conversation history stays attached to one customer profile across every channel
CRM / lead capture flow
- 1Every qualified detail from the conversation — intent, contact info, context — is captured in structured form
- 2A lead is created or updated in the CRM directly from the conversation, not from a transcript someone has to read
- 3No manual data entry for what the AI Employee already covered
- 4Sales or ops teams see a qualified lead with context, not a raw call log to interpret themselves
Human approval and handoff
- 1Escalation triggers are defined in advance — a specific intent, a dollar threshold, a complaint — not "whenever the AI gets confused"
- 2Anything with financial, legal, or reputational weight is drafted for a human to approve, not sent automatically
- 3A human teammate can pick up a conversation mid-thread with full context, not a cold handoff
- 4Nothing is told to a customer as confirmed, booked, or scheduled until the underlying action actually completed
Call recordings, transcripts, and audit trail
- Calls are recorded and transcribed automatically
- Retention periods are configured per plan — 30/90/180-day tiers on Starter/Growth/Business, custom retention on Enterprise — see the full breakdown on Pricing
- Every AI Employee action is logged: what it did, when, and why
- The same audit trail and governance model described on the Trust Center applies to every conversation, not just flagged ones
Screenshots and a live demo video.
Screenshots and live demo video coming next
See it configured for your organization.
Tell us what you need handled — we'll show you what an AI Employee looks like running on your own channels.