01Omnichannel customer intake
Bring voice, WhatsApp, email and chat into a consistent request model. Capture identity, intent, attachments, conversation history and account context without forcing customers into a new channel. Define identity matching carefully so unrelated people or records are not merged simply because their names look similar.
02AI voice agents and conversational workflows
Design assistants for a defined service task: collect details, answer from approved information, check a status or prepare a booking. Connect actions to authorized tools and record the result. Low-confidence answers, sensitive conversations and requests outside the supported scope move to a person with context attached.
03Booking and appointment automation
Connect enquiry, availability, appointment details, confirmation, reminders and rescheduling. Booking rules can account for staff capacity, location, service type and required information. A confirmed slot must come from the booking system; the assistant should never invent availability or promise an appointment that was not recorded.
04Customer onboarding and service portals
Build guided intake, document collection, requirement confirmation and customer-facing status pages. Teams and customers work from the same underlying record with different access permissions. Missing information, pending approvals and next steps stay visible, reducing repeated requests and avoidable back-and-forth.
05Support triage and human escalation
Classify requests, suggest priority and route work to an accountable queue using approved service information. An escalation includes the transcript, customer history, attempted actions and reason for review. Staff can correct the interpretation and continue the conversation without asking the customer to start again.
06Retention and lifecycle follow-up
Use completed services, previous orders and customer preferences to prepare relevant reminders and follow-up. Connect loyalty and renewal workflows to actual history. Respect communication preferences and approval rules, and measure whether the message helped a customer return or resolve unfinished work rather than counting sends alone.