WhatsApp AI Chatbot

HiMat Technology builds whatsapp ai chatbot as production software—not slide decks. Based in Chennai and working remote-first, we align discovery, implementation, and launch with your existing Next.js, React, and Node.js teams where they exist.

WhatsApp users expect fast, concise replies. We map template messages, session windows, and opt-in rules before enabling generative answers.

Webhook handlers run on Node.js with rate limits and signature verification; sensitive threads can require human takeover with full transcript preserved in MongoDB.

We treat customer data as tenant-scoped: production credentials live in your secret stores, access is role-based, and prompts or embeddings are stored in separate collections or namespaces so test traffic never mixes with live user records.

Human review is built into high-impact paths—draft replies, extracted fields, or agent actions can queue for approval before they reach customers or downstream finance systems. We log who approved what and retain those records according to your policy, not an undefined default.

We do not claim third-party certifications on your behalf. Instead we document data flows, retention windows, and subprocessors you approve, then implement technical controls—encryption in transit, least-privilege API keys, and optional PII redaction before text is sent to leading LLM providers.

Engagements start at /connect or /schedule with a short discovery call. We return written scope, stack choices limited to tools we actually operate (including MongoDB, OpenAI API, and Pinecone where retrieval applies), and timelines you can plan around.