The conversational AI platform that resolves, not just deflects
ChatNext powers conversations across WhatsApp, web, voice, Telegram, and Teams for fifty-plus enterprise customers across three continents. The differentiator is action — bots that call your APIs to actually do the thing the customer asked, not bots that route them back to a phone queue with a slightly better mood. Four years of production traffic, three million-plus monthly conversations, twelve languages including the African and Gulf-Arabic dialects others get wrong.
ChatNext — in the browser
What ChatNext does
One bot, every channel
WhatsApp Business API, web widget, Telegram Bot API, Facebook Messenger, Microsoft Teams, voice via Twilio or AWS Connect, and email — all served by a single intent model, knowledge base, and action framework. Adding a new channel is a configuration change taking hours, not a parallel project taking months.
RAG-grounded knowledge
Answers to factual questions are grounded in your private knowledge base — product documentation, policies, FAQs, regulatory guidance — with retrieval returning source paragraphs as citations and an answerability classifier that escalates rather than confabulates when coverage is thin. Hallucination rates below one percent in production banking deployments.
Low-code conversation studio
Visual intent builder, conversation flow designer, response template editor, and live testing harness — usable by your product and business teams without ML expertise. Engineering retains control of integrations, security, and deployment. The separation makes the platform sustainable without an embedded vendor team.
Core banking and CRM integration
Pre-built connectors to Temenos T24 and Transact, Finacle 10, Flexcube, Salesforce Service Cloud, Microsoft Dynamics, Zendesk, Freshdesk, ServiceNow, and the major contact-centre platforms. REST, SOAP, and ISO 20022 for the cases where the integration is bespoke. Authentication delegated to your IDP so the bot never sees credentials it does not need.
Multilingual including the hard languages
Production-grade support for Arabic (Gulf, Levantine, and MSA), English, French, Swahili, Hausa, Yoruba, Hindi, Urdu, Bengali, Tamil, Bahasa, and Portuguese. We fine-tune on your historical conversation logs so the bot speaks like your customers do, not like a generic translation engine trained on US English speech patterns.
Human handoff with full context
Escalations to live agents come with the conversation transcript, the customer's identified intent, actions already attempted, the customer's identity from your IDP, and the suggested next-best action. The agent picks up where the bot left off — not where the customer started thirty minutes ago. Integrated into Zendesk, Freshdesk, Salesforce Service Cloud, ServiceNow, and custom CRMs.
From start to value in 4 steps
Configure intents
Map your priority customer journeys in the visual studio — from a starting position of curated patterns drawn from our existing banking, telecom, and retail deployments. Thirty minutes to a first working bot on three intents.
Connect data and APIs
Wire to your knowledge base, FAQ corpus, and action APIs through pre-built connectors. Authentication via your IDP, audit logs to your SIEM, rate limits and circuit breakers configured per downstream system.
Test and tune on real traffic
Run the bot in shadow mode against live customer conversations for two weeks, scoring intent classification and would-be-resolution rates without affecting actual customers. Misclassifications and gaps fixed before any customer touches it.
Deploy and monitor
One-click publish across the configured channels. Live analytics dashboard tracks containment, resolution, CSAT, and unresolved-question patterns. Weekly tuning sprints add intents, refine responses, and extend integrations as production traffic surfaces edge cases.
Built on proven enterprise tech
NLP engine
Channels
Core banking and CRM
Analytics and operations
"ChatNext handles sixty-seven percent of our inbound contact across WhatsApp, web, and voice. We launched with three intents in Swahili and English on a Friday; six months later we cover twenty-three intents in four languages and our NPS has gone up eighteen points. The bot resolves issues. It does not just survive them."— Head of Digital Banking, Tier-1 East African Bank
Deploy how you need it
ChatNext — Ready to Deploy
Get a demo and see how it fits your stack.