Natural-sounding voice agents that handle transactional calls end to end, with call-centre analytics behind them.
Routine inbound and outbound calls handled autonomously, with clean escalation to humans when a call needs one.
Pick an agent and watch a callVoice agents handling appointment booking, rescheduling and cancellation across multiple industries.
E-commerce voice ordering and order-status handling.
Direct integration with calendar, CRM and booking systems so calls write through to the systems of record.
Call-centre analytics and automated QA across the full conversation corpus.
A large share of call-centre volume is transactional: booking an appointment, moving one, cancelling one, checking an order. It is repetitive work that still requires understanding a caller who does not speak in menu options.
Traditional IVR handles none of it well. Callers abandon trees, staff spend their day on calls that carry no judgement, and nobody has reliable visibility into what is actually being said across thousands of conversations.
Agents take the call from greeting to confirmation — booking, rescheduling and cancelling appointments, taking e-commerce orders, and answering status questions without transferring.
Calls are only useful if they change something. Agents integrate directly with calendars, CRM and booking systems so a confirmed slot on the phone is a confirmed slot in the system.
calendar.move(Thu 2:40pm → Mon 2:40pm)crm.log(appointment moved)→ confirmation sentYour appointment has moved to Monday at 2:40pm.
Appointment moved · calendar and CRM updated
When a call moves outside what the agent should handle, it hands over to a human with the context already gathered, rather than restarting the conversation.
Call-centre analytics and QA automation run across the full conversation set, surfacing themes, failure points and quality issues that manual sampling of a few calls per agent never catches.
Every call is transcribed and fed to the analytics layer, so quality is judged from the full conversation corpus rather than from whichever calls someone had time to listen to.
Callers moving to the same time in the following week
“Same time, but Monday if you have it.”
Every call is transcribed and read. Press any flagged call to see what surfaced.
Telephony connects to a speech pipeline — recognition, an LLM-driven dialogue layer holding the booking logic, and synthesis — with tool calls writing through to calendar and CRM systems. Every call is transcribed and fed to the analytics layer.
The call arrives — inbound, or placed outbound by the agent — and audio streams both ways.
caller audio → streaming inreply audio ← streaming outTransactional calls handled without human involvement
Bookings, reschedules and cancellations written to the systems of record
Human escalation with full call context preserved
Quality analysis across every call rather than a sampled few
It calls every customer, then tells the board what they said
An AI agent calls every customer after service and gathers the review on the call itself. Every conversation is then analysed automatically and clustered into a picture of what is happening per department, per individual and across the whole organisation.
Fifteen HR services, answered on WhatsApp, written back to Oracle EBS
A bilingual AI assistant that turns Oracle EBS HRMS into a conversation — leave, certificates, attendance, approvals — for around 10,000 employees, hosted inside the Kingdom.
AI golf swing analyser with a 10-position engine and in-app coach
Upload one swing from a phone and get a 10-position breakdown, 50+ metrics, and the single fix worth practising next.