Use case
Customers already message on WhatsApp; enterprises answer late from shared phones and spreadsheets. Arcloops designs WhatsApp customer support with grounded answers, human handoff, and audit trails — especially where messaging is the default channel.
Sales and support staff use personal or shared WhatsApp numbers. Conversation history evaporates when someone leaves. Promises made in chat never reach the CRM. Peak hours create unread piles while VIP customers wait beside spam.
Consumer chatbots on WhatsApp invent prices, policies, and delivery ETAs. Template-message rules and opt-in requirements are mishandled, creating compliance risk. Bangla and English mix in the same thread; bots that only handle English fail immediately. Agents re-ask for account details already provided.
Omnichannel is aspirational: email tickets and WhatsApp chats for the same issue never merge. Leadership wants “AI on WhatsApp” without consent, escalation, or knowledge governance. Measuring success as message volume hides unresolved customers.
CX owns channel experience; compliance owns messaging consent; operations owns fulfilment truth; agents own complex cases. Anti-patterns include blasting promotional messages from the support number, allowing the bot to commit refunds without Approvals, and grounding on marketing copy instead of policy.
Omnichannel is aspirational when email tickets and WhatsApp chats for the same issue never merge. Leadership wants “AI on WhatsApp” without consent, escalation, or knowledge governance. Measuring success as message volume hides unresolved customers and encourages bots that chat fluently while fulfilment systems disagree.
Identity and privacy patterns matter especially where customers will not use email-first flows. Linking chats to CRM accounts must follow consent and least-privilege design. Promotional blasting from the support number destroys trust and creates compliance risk under messaging platform rules.
AI WhatsApp support should authenticate or identify safely, answer from approved knowledge, hand off with full context, and log conversations into the system of record — humans remain accountable for exceptions and complaints. Resolution quality and reopen themes are honest metrics; invented CSAT ROI is not.
Official business numbers, opt-in/opt-out, and template usage follow platform and local rules. Customer identity linking to CRM is designed with privacy constraints — not scraped from personal address books.
Policies, order FAQs, and status lookups use retrieval and permitted APIs. Low confidence escalates. Bangla and English are evaluated explicitly where both are in demand. What good looks like: routine status and how-to resolve in-chat; disputes go to humans with transcript.
Live agents receive conversation history, intent, and customer profile. Queues respect skills and priority. After-hours coverage rules are explicit.
Track resolved-in-channel, handoff rate, and reopen themes. Content gaps become owner backlog. Failure modes: deflection theatre, and bots that confirm shipments the WMS does not support.
WhatsApp support sits under /solutions/ai-in-customer-service, often paired with complaint routing patterns on /use-cases/ai-customer-complaint-routing and sentiment listening on /use-cases/ai-customer-sentiment-analysis. Channel strategy and enablement can map to /ai-consulting/ai-enablement. Sensitive goodwill gestures may require Approvals at /products/approvals.
Delivery starts with intent inventory, knowledge readiness, and BSP/platform choice — then a pilot journey (order status or FAQ) before payments or complex claims. Integration notes cover CRM, order systems, and agent desktop. We track resolution quality; we do not invent CSAT ROI percentages.
In Bangladesh and similar markets, WhatsApp is often the primary customer channel for retail, fintech, logistics, and education — not a nice-to-have side door. Programmes emphasise Bangla/English handling, mobile-first UX, and realistic identity patterns (many customers will not use email-first flows). Opt-in, template, and data-retention practices are designed with local compliance stakeholders. The same architecture serves global WhatsApp programmes; BD notes change channel primacy and language evaluation, not the need for grounding and human handoff.
Ready
Pick order status or a top FAQ set. Arcloops will outline grounded WhatsApp support under AI in Customer Service.