Handle multilingual WhatsApp support with AI and your Google Docs

An AI agent answers WhatsApp support questions in English or Roman Urdu, using your own knowledge base.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"customer sends WhatsApp message"]:::trig s0["route by message type"]:::task s1[("check knowledge base")]:::store s2["reply in customer's language"]:::task trig --> s0 s1 --> s2 gx{"× text voice or image"}:::gate s0 --> gx p00["transcribe audio"]:::task gx -->|"voice note"| p00 p10["read image content"]:::task gx -->|"photo"| p10 p20["read text directly"]:::task gx -->|"text"| p20 jn{"○ detect language and reply"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"on-brand reply in customer's language"/]:::out pay{{"consistent support around the clock"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGMessaging & NotificationsTranslation & LocalizationCustomer Support & Ticketing
Connects
WhatsAppGoogle DocsOpenAIClaude

The problem it solves

Your support team can't keep up with WhatsApp messages that arrive as text, voice notes, and photos, in different languages, at all hours. Customers wait for replies, and the quality of the answer depends on who happens to be handling the chat.

Who it fits

Businesses serving multilingual customers, such as South Asian markets, who need consistent WhatsApp support around the clock.

How it works

  1. A customer sends a text, voice note, or image to your WhatsApp number
  2. The system transcribes voice notes and reads images automatically
  3. AI detects the customer's language and checks your Google Docs knowledge base
  4. A clear, on-brand reply is sent back in the customer's own language, remembering earlier context
What you get

Support answered in the customer's own language

Your customers get WhatsApp support in English or Roman Urdu any time of day, answered using your own knowledge base.

What you get

Consistent, on-brand WhatsApp replies in the customer's language, informed by your own documentation.

What you need

A WhatsApp Business account, a Google Docs knowledge base, and API access to Claude and OpenAI.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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