Build an AI Agent for WhatsApp Business — Step-by-Step Guide & Pricing
8 min read
WhatsApp Business is where many customers already are. An AI agent on WhatsApp can answer queries, capture orders, and book slots 24/7. This step-by-step guide shows how to build an AI agent for WhatsApp Business and what to expect on pricing in 2026—for USA, Canada, and Bengaluru businesses.
Hendoi Technologies builds AI agents for WhatsApp Business for USA, Canada, and Bengaluru. Contact us for a free quote.
Decide what the agent will do: FAQ, order capture, appointments, support, or a mix. List the main intents and any actions (e.g. create order, check status). This scope drives design and cost.
You need access to the WhatsApp Business API—via Meta directly or a BSP (business solution provider). Approve your business, get a phone number (or port), and configure webhooks for incoming messages. Your development partner can guide this.
Outline happy paths and edge cases. Define when the AI answers and when it escalates to a human. Set guardrails: no sensitive data in logs, no off-topic or harmful replies. For RAG, decide which docs or knowledge base the agent will use.
Backend receives WhatsApp webhooks, runs your AI logic (LLM + optional RAG/tools), and sends replies via the API. Use a framework (e.g. Node.js, Python) and secure storage for API keys and customer data. Implement rate limiting and error handling.
Integrate an LLM (OpenAI, Anthropic, or open-source). If the agent should use your content, add RAG: chunk docs, embed, store in a vector DB, retrieve on each message, and inject into the prompt. Test with real questions.
Test with real WhatsApp numbers in sandbox, then go live. Monitor latency, errors, and quality. Plan for human handoff and fallback messages when the agent is unsure.
Simple FAQ agent (no RAG, fixed flows) ₹80,000–₹2,50,000. Basic answers, WhatsApp Business API setup, and hosting. 3–5 weeks.
RAG-based agent (knowledge base, natural Q&A) ₹2,50,000–₹6,00,000. Your docs or FAQ, better answers, optional actions. 6–10 weeks.
Custom agent (orders, bookings, CRM integration) ₹6,00,000+. Integrations with POS, CRM, or booking system. 10+ weeks.
Ongoing: WhatsApp conversation fees (per Meta), LLM API, hosting. Budget roughly ₹3,000–₹15,000/month depending on volume.
Frequently asked questions
Define scope → get WhatsApp Business API access → design flows and guardrails → build backend and connect LLM (and RAG if needed) → test and go live. A partner like Hendoi can handle the full build. [Contact us](/contact).
Simple FAQ: ₹80,000–₹2,50,000. RAG-based: ₹2,50,000–₹6,00,000. Custom with integrations: ₹6,00,000+. Plus ongoing API and hosting. [Get a quote](/contact).
Yes. Once deployed, the agent can reply to messages 24/7. You can add human handoff for complex or sensitive conversations.
Share your use case and we will give you a step-by-step plan and a transparent quote.
Contact Hendoi Technologies
Our Address:
Bus stop, 579, below Lenskart,
near 15th Main Road,
3rd Stage 4th Block,
Basaveshwar Nagar,
Bengaluru,
Karnataka - 560079, India
Showing slide 1 of 6. Use the buttons below to change slide.
Recommended posts
View all posts (opens blog listing)Custom Database Engine as a Data Warehouse Alternative
When a custom engine can replace or complement a data warehouse. Real-time, cost, and use cases. USA Canada India.
Read moreOLAP vs OLTP: When to Use a Custom Engine for Each
OLAP (analytics) vs OLTP (transactions). When a custom engine fits each, and when to keep them separate. USA Canada India.
Read moreWhat Is VeloxDB? Custom Database Engine by Hendoi
VeloxDB is Hendoi’s custom database engine offering. Purpose-built for hot-path workloads. USA Canada India.
Read moreHow to Choose a Custom Database Engine Development Agency in India
What to look for when hiring an India-based agency for custom database engine development. USA Canada clients.
Read moreSub‑Millisecond API Latency: How a Custom Engine Hits p99
How custom database engines achieve sub‑ms p99 latency for APIs. Design choices and when it matters. USA Canada India.
Read moreBuild vs Buy Database Engine: CTO Decision Framework 2026
When to build a custom database engine vs buy (managed DB). Decision framework for CTOs. USA Canada India.
Read moreCustom Database Engine for E‑commerce Inventory & Cart
Why e‑commerce uses custom engines for inventory and cart. Consistency, latency, and scale. USA Canada India.
Read moreGraph Database vs Custom Engine: Use Cases & When to Build
When to use a graph DB (Neo4j, etc.) vs a custom engine for graph-like access. Performance and cost. USA Canada India.
Read moreCustom Search Engine vs Elasticsearch: When to Build Your Own
When to use Elasticsearch vs building a custom search or index engine. Cost, scale, and control. USA Canada India.
Read moreCustom Database Engine for Healthcare: HIPAA & Data Security
Building a custom database engine for healthcare. HIPAA, encryption, audit. USA Canada India. What to specify.
Read moreWhen to Replace DynamoDB With a Custom Key-Value Engine
When DynamoDB cost or latency forces a move to a custom key-value engine. What to consider. USA Canada India.
Read moreC++ Database Engine Development in India: Cost & Timeline
What it costs to build a C++ database or storage engine with a team in India. USA and Canada clients. 2026.
Read moreCustom Database Engine as a Data Warehouse Alternative
When a custom engine can replace or complement a data warehouse. Real-time, cost, and use cases. USA Canada India.
Read moreOLAP vs OLTP: When to Use a Custom Engine for Each
OLAP (analytics) vs OLTP (transactions). When a custom engine fits each, and when to keep them separate. USA Canada India.
Read moreWhat Is VeloxDB? Custom Database Engine by Hendoi
VeloxDB is Hendoi’s custom database engine offering. Purpose-built for hot-path workloads. USA Canada India.
Read moreHow to Choose a Custom Database Engine Development Agency in India
What to look for when hiring an India-based agency for custom database engine development. USA Canada clients.
Read moreSub‑Millisecond API Latency: How a Custom Engine Hits p99
How custom database engines achieve sub‑ms p99 latency for APIs. Design choices and when it matters. USA Canada India.
Read moreBuild vs Buy Database Engine: CTO Decision Framework 2026
When to build a custom database engine vs buy (managed DB). Decision framework for CTOs. USA Canada India.
Read moreCustom Database Engine for E‑commerce Inventory & Cart
Why e‑commerce uses custom engines for inventory and cart. Consistency, latency, and scale. USA Canada India.
Read moreGraph Database vs Custom Engine: Use Cases & When to Build
When to use a graph DB (Neo4j, etc.) vs a custom engine for graph-like access. Performance and cost. USA Canada India.
Read moreCustom Search Engine vs Elasticsearch: When to Build Your Own
When to use Elasticsearch vs building a custom search or index engine. Cost, scale, and control. USA Canada India.
Read moreCustom Database Engine for Healthcare: HIPAA & Data Security
Building a custom database engine for healthcare. HIPAA, encryption, audit. USA Canada India. What to specify.
Read moreWhen to Replace DynamoDB With a Custom Key-Value Engine
When DynamoDB cost or latency forces a move to a custom key-value engine. What to consider. USA Canada India.
Read moreC++ Database Engine Development in India: Cost & Timeline
What it costs to build a C++ database or storage engine with a team in India. USA and Canada clients. 2026.
Read more