Customer service · AI · WhatsApp · Automation
Your customers message you on WhatsApp at any hour and expect answers — but your team isn't available at night or on weekends?
A conversational agent that answers your customers on WhatsApp and qualifies their requests 24/7 — your teams focus on decisions, not on repetition.
The global data
TODO: metrics
of answers automated without human intervention
TODO: metrics
TODO: metrics
of average response time saved
TODO: metrics
24/7
customer coverage without hiring
Service design
The problem
WhatsApp is your de facto channel: it’s where your customers write — in the evening, on weekends, at lunch hour — at all the moments your team isn’t available. The result: customers waiting, requests piling up by morning, and answers that vary depending on who replies. The cost is invisible but real: cold leads at dawn, customers who already chose elsewhere, and a team that spends its time repeating the same answers instead of handling real decisions.
Your job-to-be-done: when a customer writes at 11 pm, you want them to get a useful answer immediately, have their request qualified and routed to the right person — and your team to wake up to qualified work, not a wall of messages to decode.
The outcomes Marketing strategy
Phase 1 — Conversation audit (weeks 1–2). Analysis of your existing WhatsApp exchanges to map recurring questions, qualified requests, and the answers that genuinely require a human. This baseline defines the automation scope — we never automate what creates value.
Phase 2 — Response design & AI training (weeks 3–4). Drafting of standard answers in your tone, then training the agent on your documents (offers, pricing, FAQ, procedures). Every answer keeps a clean escape hatch: the customer can always ask for a human.
Phase 3 — WhatsApp Business API deployment & monitoring (ongoing). Go-live on the WhatsApp Business API, integration with the CRM for handing over qualified requests, and an admin dashboard: volume handled, response time, escalation rate. Monthly reporting tied to your indicators.
Why it shows (and answers right)
- RAG on your documents: the agent doesn’t answer from memory — it checks your real offers and procedures before replying.
- LLM: natural phrasing, not robotic answers; the agent understands the customer’s intent.
- CRM integration: a qualified request lands in your tool, complete and routed — no manual copy-paste.
- Admin dashboard: you see what is handled automatically, what escalates to the team, and where the automation must improve.
The shift from pain to solution: your customers are served at any hour, your teams stop answering in loops, and every request enters your CRM already qualified.
Mission objectives & measured impact
| Indicator | Baseline (day 0) | Target | Measured via |
|---|---|---|---|
| Qualified requests handed to teams | to be recorded | TODO: metrics | CRM |
| First response time | to be recorded | TODO: metrics | WhatsApp Business API |
| Volume of requests handled | to be recorded | TODO: metrics | Admin dashboard |
The baseline is recorded during the Visual Diagnostic. Every grid is filled with your own numbers, tracked monthly — and your results belong to you.
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Your customers message you on WhatsApp at any hour and expect answers — but your team isn't available at night or on weekends?
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