Channel-led deployment
Deploy enterprise AI agents on WhatsApp without building the stack yourself.
For many Indian enterprise teams, WhatsApp is the real operating surface. Agentex packages AI deployment around that reality with control, escalation, and managed delivery.
Powered by OpenClaw + NVIDIA NemoClaw. Deployed and operated by Agentex — India's only managed AI employee deployment partner.
WhatsApp is not an experiment for Indian enterprise teams — it is the primary interface between your organisation and its customers, field staff, and operations. Yet most enterprise AI tools treat WhatsApp as an afterthought: a plugin, a webhook, or a third-party connector. Agentex builds AI employees that are native to WhatsApp and backed by enterprise-grade infrastructure.
What WhatsApp AI employees do differently
A WhatsApp AI employee deployed by Agentex is not a chatbot. It is a role-defined agent that operates inside your workflows: reading from your CRM, updating your ticketing system, routing to the right human when required, and handling the structured majority of inbound volume autonomously. The difference between a chatbot and an AI employee is the ability to act — not just respond.
For a collections team, the AI employee sends personalised follow-up messages, reads payment status from the core system, handles dispute routing, and escalates to a human collector for complex cases. For a patient support team, it handles appointment coordination, document requests, and insurance queries — with all clinical questions explicitly escalated. For IT helpdesk, it resolves L1 tickets, routes L2 issues, and updates the ticket system — without your engineers lifting a finger.
The WhatsApp approval process
WhatsApp Business API access requires Meta approval for the business phone number. Agentex manages this process as part of the Sprint. The typical approval timeline is 2–4 weeks, which is why we recommend deploying on Telegram first during the Sprint and moving to WhatsApp as the primary channel once approval is in place. By the time Meta approves the number, your AI employee is already tested and live — on Telegram.
Data and compliance
All WhatsApp AI employee deployments at Agentex run inside your infrastructure using the WhatsApp Business Cloud API. Conversation data is stored in your Supabase instance on your servers. No third-party WhatsApp BSP, no data passing through external platforms, no shared multi-tenant infrastructure. DPDP compliance is built into the deployment architecture from day one.
Frequently asked questions
Do I need an existing WhatsApp Business number?
You can use an existing number or register a new one. Agentex manages the WhatsApp Business API onboarding and Meta approval process as part of the Sprint engagement.
How does the WhatsApp AI employee handle escalations?
Every deployment includes a defined escalation map: specific trigger phrases, query types, or confidence thresholds that route the conversation to a named human. Escalations happen in real-time — the agent notifies the human, shares conversation context, and hands off cleanly.
Can the agent handle multiple languages?
Yes. OpenClaw-powered agents support Hindi, English, and regional languages natively through the underlying LLM. Language-specific behaviour can be configured in the role definition files.
Is customer data stored on WhatsApp servers?
WhatsApp Business Cloud API is operated by Meta — messages pass through Meta infrastructure. However, conversation logs and structured data are stored in your own Supabase instance on your servers. We help you design the data minimisation approach to reduce what is retained.
Ready to deploy your first AI employee?
Book a 30-minute discovery call. We'll scope your first workflow and give you a fixed-cost Sprint proposal within 48 hours.