Answer customer questions with a WhatsApp AI chatbot.
Most WhatsApp bots are decision trees with an AI button bolted on. They work for the four questions you planned for and break on the fifth. Waaru is an AI-first WhatsApp platform: a large language model drives every conversation, your flows act as guardrails, and a human picks up only when it matters.
In one line
A WhatsApp AI chatbot is an automated agent connected to the official WhatsApp Business API that uses a large language model to understand intent, answer questions from your knowledge base, take actions in your systems, and route to a human when confidence drops. Waaru ships this with zero markup on Meta conversation fees and no flow-builder lock-in.
A scripted path breaks when the customer changes the subject.
Customers ask follow-up questions, correct details, switch language, and return to an earlier step. A useful WhatsApp chatbot needs to understand that detour, answer from approved business context, and either resume the task or involve a person.
Fixed paths cannot anticipate every phrasing or mid-flow question.
An isolated AI reply is not enough if the customer cannot return to the task.
A handoff loses trust when the customer has to repeat the conversation.
Pricing is hard to compare unless platform fees and Meta messaging charges are separated.
What it is
A WhatsApp AI chatbot, defined.
A WhatsApp AI chatbot is a software agent that connects to the official WhatsApp Business API, listens to inbound messages on your business number, and replies using a language model grounded in your business content. It can answer questions, complete structured tasks (book, quote, qualify, refund), call external systems through APIs, and escalate to a human when it is not confident.
A real WhatsApp AI chatbot has four things at the same time: live access to your knowledge (FAQs, catalog, policies), the ability to take action in your systems (Shopify, CRM, calendar, payments), memory across the full conversation, and a clean handoff to your team when the AI hits its limits. Take any of these out and the bot becomes a frustration generator.
How it works
Five things happen on every inbound message.
This loop runs on every single message, including the messages that arrive while a structured flow is mid-execution. That is what 'AI over the whole conversation' actually means.
Intent detection — the AI classifies the message against the flows and intents you've configured, and decides whether to follow a flow or stay in free conversation.
Knowledge retrieval — the model pulls relevant snippets from your Company Brain (website, PDFs, catalog) and uses them as grounded context, so it never invents pricing or policy.
Action execution — when the customer needs something done (check order, book slot, raise refund) the AI calls the matching tool with typed arguments.
Reply generation — the response is composed in the right tone, with WhatsApp-native formatting and CTA buttons where helpful.
Confidence check — if the AI's confidence drops below threshold, the conversation is routed to a human with the full transcript and an AI summary already loaded.
Where flows fit
Flows are guardrails, not the boss of the bot.
Structured WhatsApp flows are excellent for the moments that must be deterministic — collecting consent, capturing an address, running a payment, asking the seven questions every lead needs to answer. They are bad at handling the messy middle of a real conversation: clarifying a typo, answering an out-of-band question, switching language mid-sentence, recovering from a misclick.
Waaru runs the AI as the orchestrator. Flows act as guardrails the AI can step into when a structured outcome is needed. The moment a customer steps off the flow, the AI handles the detour and steps the flow back to the right node. The user never sees a mode switch. The flow never dies on an unexpected reply.
What it answers
The chatbot uses your business as its source of truth.
Every Waaru workspace has a Company Brain. You point it at a URL, upload PDFs, paste FAQs, or sync your Shopify catalog. The chatbot is instructed to answer from reviewed workspace content and escalate when that content does not support an answer.
The Brain re-indexes on a schedule, so updates to a product page or refund policy can become available without a model-training job.
Website URLs (crawled and chunked)
PDF documents — rate cards, menus, policies, handbooks
Plain-text FAQs and macros
Shopify product catalog and order data
Custom data via REST or webhook
What it does
Actions, not just answers.
Answering questions is the floor. A useful chatbot completes the approved task through typed, bounded provider actions. A customer asks where an order is; the workflow reads the relevant Shopify, WooCommerce, or Shiprocket record and formats the reply. A booking change uses the selected Google Calendar or Cal.com reference.
Shopify, Razorpay, Shiprocket, Zoho CRM, Google Calendar, Cal.com, Google Sheets, Google Drive, and Zapier are available. WooCommerce is in progress. Each connector page states its exact actions and limits.
Where humans come in
Human handoff with the full picture, not a cold transfer.
When the AI reaches a knowledge gap, policy boundary, or low-confidence reply, the conversation is routed to the team inbox. The teammate sees the message history, an AI-generated summary, the contact record, and prior notes. After the teammate resolves the case, the approved resolution can become workspace-scoped context for a similar future intent.
Why it works on WhatsApp
Built on Meta's official Business Cloud API, not unofficial workarounds.
Waaru is built on Meta's official WhatsApp Business Cloud API. Messages are delivered through Meta's infrastructure, templates follow Meta's review process, and the business number is connected through a WhatsApp Business Account. There is no QR-code or WhatsApp Web automation workaround.
That distinction matters because unofficial automation can violate platform terms and put business messaging continuity at risk.
Side-by-side
AI-first conversation handling vs. a fixed-path chatbot.
Compare the behaviour customers experience, not the label on the feature list.
Capability
Waaru
Fixed-path chatbot
AI scope
Over the whole conversation
Single flow node
Off-script recovery
Detect, answer, resume the flow
Generic fallback message
Knowledge grounding
Company Brain — indexed, cited
Optional KB upload, often static
Tool calling
Typed schemas, native Shopify, Razorpay, REST
Limited to Zapier
Human handoff context
Full transcript + AI summary + CRM record
Conversation dropped into shared inbox
Markup on Meta fees
0%, written on the pricing page
Check the provider's current rate card
Platform access
Free
Check platform and AI add-on terms
AI features
Paid separately
Check the current plan matrix
Native MCP for AI agents
Yes
Check tool coverage and permissions
Meta messaging rates vary by message category and recipient market. Compare each provider's current platform fee, AI add-on, and message rate against Meta's published pricing before deciding.
Integrations
What the chatbot can do, out of the box.
Pre-built tool integrations so the AI can take action, not just talk. Coming-soon entries are on the public roadmap.
Connect customer conversations to support tickets.
Zendesk
Coming soon
Connect WhatsApp threads to a support-ticket lifecycle.
FAQ
Frequently asked questions.
What is a WhatsApp AI chatbot?
A WhatsApp AI chatbot is an automated agent connected to the official WhatsApp Business API that uses a large language model to understand inbound messages, answer from your business knowledge, take actions in your systems, and escalate to a human when needed. Unlike a rule-based bot, it does not require every customer phrasing to be scripted in advance.
Is Waaru's WhatsApp chatbot built on the official WhatsApp Business API?
Yes. Waaru is built on Meta's official WhatsApp Business Cloud API. Every message is sent through Meta's infrastructure, every template is approved by Meta, and every business number carries a verified WhatsApp Business Account. We do not use unofficial WhatsApp Web automation — that approach gets numbers banned.
How long does it take to get a WhatsApp AI chatbot live?
Setup time depends on Meta business and number readiness, the knowledge sources you want reviewed, and the tools the workflow needs. Start with one high-volume intent, connect the required source or tool, test the handoff, and expand after the first journey is reliable.
Does Waaru add a markup on Meta conversation fees?
No. Waaru adds 0% markup to Meta's published messaging rates. Meta charges remain separate from the Waaru platform fee, so the two cost lines can be evaluated independently.
What happens when the bot doesn't know the answer?
The AI says it needs help and routes the conversation to your team inbox. The teammate receives the transcript, an AI summary, the contact record, and prior notes. After resolution, an approved answer can be indexed as workspace-scoped context for a similar future request.
Can the chatbot handle multiple languages?
Yes. The underlying language model handles English, Hindi, Hinglish, and major Indian languages out of the box. The AI replies in the language the customer wrote in, including code-switching between languages mid-conversation.
Can I still use flows for parts of the conversation I want to control?
Yes — flows are first-class. Waaru runs the AI as orchestrator and treats flows as guardrails the AI steps into when a deterministic outcome is needed: consent, payment, booking, qualification. The AI handles the unstructured parts and hands off to the flow at the right moment.
Does the chatbot work with my Shopify store?
Yes. The direct Shopify connector can read bounded orders, customers, products, variant availability, and fulfilment tracking, and it receives selected order and refund events. Store mutations, abandoned-checkout recovery, discounts, refunds, and COD-to-prepaid changes are outside the current connector release.
What should I compare across WhatsApp AI platforms?
Test a real journey that includes an off-script question, a tool call, a policy boundary, and human handoff. Then compare the transcript, approval controls, logs, recovery behaviour, support, and the separation between platform fees and Meta messaging charges.
How much does a WhatsApp AI chatbot from Waaru cost?
Public signup is open. The platform is free. AI features are paid separately. Meta messaging charges remain separate, with 0% Waaru markup.
Research notes
Evidence checked for this page.
Definitions and pricing context on this page use primary documentation from Meta, OpenAI, and Anthropic. Provider rates change, so current pricing pages remain the final source for a buying decision.
Meta publishes WhatsApp Business Platform pricing by message category and recipient market.
Meta · WhatsApp Business Platform pricing · Accessed 8 August 2026
OpenAI distinguishes agents that independently accomplish tasks from simple chatbots that do not control workflow execution.
OpenAI · A practical guide to building agents · Accessed 8 August 2026
Anthropic distinguishes workflows with predefined code paths from agents that dynamically direct their process and tool use.
Anthropic · Building effective agents · Accessed 8 August 2026
