Arivix is an omnichannel conversational AI agent platform for modern enterprises, officially positioned as the "conversational operations layer," used to build, deploy, and scale AI agents across channels such as voice, WhatsApp, SMS, RCS, and web chat.
In terms of purpose, Arivix aims to integrate customer support, appointments, and follow-ups into a unified AI-native workflow, helping enterprises turn every customer touchpoint into revenue. It is officially stated that it can reduce the cost per conversation from $8 to $0.50.
Main capabilities include:
- Omnichannel coverage: The same agent can maintain full context across WhatsApp, voice calls, web chat, and other channels, so conversations are not interrupted when customers switch across channels.
- NLP-first orchestration: It is officially emphasized that it adopts an NLP-first orchestration approach and is described as having "zero wrapper complexity."
- Voice support: Voice is officially described as the hardest channel to automate, and Arivix prioritized conquering this channel; the AI receptionist can check availability, confirm time slots, and send calendar invitations.
- Web chat: The web chat agent can interact with visitors in real time, directly resolving issues that can be solved on the spot and smoothly handing off to a human when they cannot be resolved.
- Ticket handling: The agent can troubleshoot issues, escalate tickets, and continuously keep customers updated on progress via email.
- Cart recovery: It is officially cited as an example that Arivix can follow up with customers who abandoned their shopping carts via WhatsApp, lock in the price, and complete the sale.
- Tool integrations: It can connect to more than 100 tools such as Gmail, Slack, and Calendly, and conversation and appointment records are synced to the team's existing work platforms.
- BI dashboard: It provides business intelligence dashboard functionality.
In terms of usage, the official materials do not provide specific installation commands, code examples, or detailed operating steps; they only state that AI agents can be built, deployed, and scaled, and that contacting the support team is supported.
Applicable scenarios include customer support automation, appointments and bookings, sales follow-up, cart recovery, Meta ad lead response, and more. An official case shows that after Eleven Ace deployed Arivix's WhatsApp agent, it handled 100% of inbound Meta ad leads, reduced response time from several hours to within 10 seconds, and increased the lead-to-conversation conversion rate by 40%.
In terms of limitations, the official materials do not clearly state platform limitations, pricing details, or technical constraints. It is officially mentioned that in 2026, 66% of support organizations were already running AI agents, up from 39% a year earlier.
