Understands & answers
Interprets free-text, recognises intent (“price”, “booking”, “support”), answers FAQs, and requests missing details with structured prompts.
Turn WhatsApp into a governed revenue and service channel. This page explains what WhatsApp AI chatbots are, where they work best, and how to roll them out with templates, opt-ins, human handover and real KPIs.
Also see AI Receptionist, AI Callers, Intelligent Agents and AI Safety.
It’s not a magic brain — it’s language understanding plus rules, templates and integrations.
Interprets free-text, recognises intent (“price”, “booking”, “support”), answers FAQs, and requests missing details with structured prompts.
Validates names, numbers, emails and consent; scores leads; creates tickets and opportunities; and routes to the right queue or rep with full context.
Sends product cards, quotes, invoices and payment links; confirms proof of payment; and updates CRM and billing automatically.
Always pair AI with approved templates, clear handover, and limits on what it can say or do.
Models + channel rules + your systems + governance.
On-brand answers sourced from your FAQs, policies and product sheets — no guessing, no claims you can’t back up.
CRM, ticketing, calendars and payment providers via secure APIs and webhooks to fetch and update records in real time.
Approved message templates for proactive outreach; clear flows for quotes, bookings, support and collections with escalation rules.
Explicit opt-ins, quiet hours, easy opt-outs and preference management synced with your customer profile and audit logs.
Role-based permissions define what the bot can see and change. High-risk actions remain human-approved by default.
Track response time, containment, conversion, payment rate and CSAT. Review transcripts monthly and tune safely.
You choose the ceiling — from draft-only to governed autonomy.
AI suggests replies; agents approve and send. Ideal for early pilots and high-risk topics.
AI handles FAQs and reminders; drafts everything else; escalates on low confidence or risky intents.
AI completes defined tasks (e.g., booking slots, sending quotes, taking payments) within thresholds; logs every step.
Increase autonomy only after the metrics and samples look solid.
Start where volume is high and rules are clear.
Instant replies from ads and web, smart questions, meeting links, and CRM creation — before a human even opens the inbox.
Send quotes and product cards, nudge with templates, answer objections, and notify reps when to step in.
Resolve tier-0 issues, gather details, attach photos/files, create tickets, and route with context to the right queue.
Secure payment links, reminders, receipts and policy/contract renewals with clear opt-outs and audit trails.
Greet, verify, and route to branch or agent; one-tap human handover with full conversation history attached.
Track intents, outcomes and sentiment; auto-sample transcripts for QA; and send weekly summaries to managers.
Same models, different risk and value profiles.
Fixed flows only. Breaks on free-text. Limited integrations. Hard to move KPIs beyond deflection.
Clever replies but no policies, templates or limits. Risky claims, no audit, and off-brand responses.
On-brand knowledge, approved templates, CRM/payments integrations, consent controls, logs and handover.
Align with Meta channel policies and privacy laws like GDPR/PECR/CCPA. Keep humans in control.
Limit what the bot can read or update. High-risk fields/actions stay human-only or require approval.
Only the data needed for decisions enters the model context. Mask or exclude sensitive free-text.
Manage consent, opt-outs and quiet hours. Use approved templates for proactive outreach and reminders.
One-tap “talk to a person”, plus pause/override controls for supervisors and compliance teams.
Every message, decision and action is recorded with timestamps and outcomes for easy investigation.
Start in draft/assisted modes, compare AI vs human decisions, then expand once performance is proven.
From idea to governed, measurable outcomes.
Pick high-volume paths (leads, support, renewals). Define success: response time, conversion, containment, CSAT.
What the bot sees (messages, customer data) and what it may do (send, ask, route, create, update, escalate).
Tone, claims rules, risk tiers and approved message templates for outbound touchpoints.
Connect CRM, helpdesk, calendars and payments. Configure prompts, slots, memory and tools.
AI proposes; humans act. Tune thresholds and add tests until the data says “go”.
Launch to a cohort, monitor transcripts and KPIs weekly, then scale what works.
Short answers for leaders and channel owners.
We’ll design your flows, connect your tools, set templates and guardrails, and prove value on real KPIs — before scaling across teams.
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