Answer WhatsApp customer messages with AI and sync your CRM

AI answers WhatsApp messages in the customer's language, escalates tough cases, and updates your CRM automatically.

How the work actually flows

It branches. Exactly one path is taken; a person is alerted when a step fails.

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

flowchart TD trig>"customer message received"]:::trig s0["detect intent and language"]:::task s1["AI drafts and sends reply"]:::task s2[("update CRM and log conversation")]:::store trig --> s0 s0 --> s1 gx{"× is message angry or refund"}:::gate s1 --> gx p00["flag message to Slack"]:::task gx -->|"needs escalation"| p00 p10["continue automatically"]:::task gx -->|"normal message"| p10 jn{"○ continue processing"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"customer replied and logged"/]:::out pay{{"consistent support without manual logging"}}:::pay s2 --> out out --> pay esc(("Alerts a person")):::human s1 -. "if it fails" .-> esc esc -.-> out 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 personA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
Voice & PhoneCRM & Sales PipelineMessaging & NotificationsTranslation & LocalizationSpreadsheet & Database OpsReporting & AnalyticsAPI & Webhook Integration
Connects
TwilioOpenAIHubSpotSlackGoogle Sheets

The problem it solves

Customer messages come in around the clock and in different languages, and keeping up means either staffing support constantly or leaving people waiting. Manually logging every conversation into your CRM afterward is another task that rarely gets done consistently.

Who it fits

E-commerce and SaaS businesses handling customer support over WhatsApp.

How it works

  1. A customer message arrives on WhatsApp
  2. AI reads recent conversation history and detects the customer's intent and language
  3. AI writes and sends a reply in the customer's own language
  4. Angry or refund-related messages are flagged and sent to Slack for a human
  5. The contact record in your CRM is updated and the conversation is logged to a spreadsheet
What you get

Routine WhatsApp questions answered in their language

Customer WhatsApp messages get answered in their own language, with anything sensitive flagged for your team and your CRM updated automatically.

What you get

An answered customer message, an updated CRM contact, and a logged conversation record.

What you need

A Twilio account for WhatsApp, an OpenAI API key, a HubSpot account, and a Slack workspace.

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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