WhatsApp API Chatbot Integration
Budget: ₹600 – ₹1,500 INR
I need an end-to-end WhatsApp Business API setup that centres on policy servicing while also automating routine customer-support interactions. Once the API is live, I want an AI-driven chatbot designed, trained, and deployed so our customers can request policy information, submit endorsements, and resolve simple queries without waiting for a human agent.
The build must:
• plug directly into the official WhatsApp Enterprise API,
• support English first, then scale to other major languages,
• learn continuously from live conversations to boost accuracy, and
• hand off gracefully to a live agent whenever confidence scores drop.
You’ll work with our product, operations, and tech teams to map personalised customer journeys, define fallback rules, and surface analytics that matter—completion rates, first-response time, CSAT, and opt-in growth. I expect you to monitor those metrics, iterate on response flows, and recommend new NLP tooling or models whenever they promise a measurable lift in customer experience.
Deliverables
1. Fully configured WhatsApp Business API instance with webhook documentation
2. Production-ready chatbot (code, NLU training data, test cases) focused on policy servicing plus core customer-support automation
3. Multilingual expansion framework and language files for the next market
4. Dashboard or data feed exposing conversation analytics and improvement recommendations
5. Deployment guide and maintenance playbook for our internal DevOps team
Success looks like a stable integration that resolves the bulk of policy-related queries autonomously, meets agreed-upon SLA metrics, and can be improved quickly as new requirements emerge.
The build must:
• plug directly into the official WhatsApp Enterprise API,
• support English first, then scale to other major languages,
• learn continuously from live conversations to boost accuracy, and
• hand off gracefully to a live agent whenever confidence scores drop.
You’ll work with our product, operations, and tech teams to map personalised customer journeys, define fallback rules, and surface analytics that matter—completion rates, first-response time, CSAT, and opt-in growth. I expect you to monitor those metrics, iterate on response flows, and recommend new NLP tooling or models whenever they promise a measurable lift in customer experience.
Deliverables
1. Fully configured WhatsApp Business API instance with webhook documentation
2. Production-ready chatbot (code, NLU training data, test cases) focused on policy servicing plus core customer-support automation
3. Multilingual expansion framework and language files for the next market
4. Dashboard or data feed exposing conversation analytics and improvement recommendations
5. Deployment guide and maintenance playbook for our internal DevOps team
Success looks like a stable integration that resolves the bulk of policy-related queries autonomously, meets agreed-upon SLA metrics, and can be improved quickly as new requirements emerge.