01
Lead capture & qualification
When someone messages “price?” or “site visit?”, the bot qualifies budget, timeline, and intent—then routes hot leads to sales with structured context.
Messaging automation
WhatsApp AI Bot
WhatsApp is where Indian customers already are. We build AI-powered WhatsApp experiences on the official WhatsApp Business Platform—so you can automate lead capture, support, and updates without risky unofficial tooling.
What We Offer
02
Order & delivery updates
Connect to your commerce or ops stack to send confirmations, shipping updates, and delivery notifications automatically.
03
Appointment booking
Check availability, confirm slots, and send reminders—integrated with Calendly, Cal.com, or Google Calendar where needed.
04
L1 support automation
Deflect repetitive FAQs while preserving seamless escalation to humans for edge cases and complaints.
Key Benefits
Official WhatsApp Business Platform patterns—avoid ban-prone hacks
Designed for Indian languages and Hinglish messaging patterns
Template and workflow guidance aligned to Meta policies
CRM and ticketing integrations so conversations become records
Analytics on handoffs, resolution, and funnel impact
Perfect For
01
Real estate developers handling high inbound WhatsApp volume
02
Clinics and diagnostics booking and reminders
03
E-commerce brands needing order status and cart recovery
04
Financial services teams qualifying inbound requests
05
EdTech admissions and fee workflows
Related Solutions
Implementation playbook
WhatsApp AI Bot works best when teams define clear intent boundaries before launch. We start by classifying workflows into automate-first, automate-with-guardrails, and human-first lanes so quality remains predictable as traffic scales.
Operational value depends on reliable system-of-record updates. Every key event should map to CRM, ticketing, or campaign objects with explicit required fields, fallback behavior, and ownership for data quality.
Integration resilience is treated as a product requirement. API timeouts, partial failures, and stale records are expected in production, so runbooks include retries, queueing, and escalation routes that preserve customer context.
A weekly optimization cadence keeps performance healthy: transcript sampling by intent, handoff quality review, and controlled prompt/workflow changes with rollback criteria. This avoids regressions caused by large untracked releases.
Across teams in India and US operating contexts, governance should define timezone handovers, escalation SLAs, and cross-functional review ownership so WhatsApp AI Bot remains a durable operational asset rather than a one-time pilot.
- Lead capture & qualification
- Order & delivery updates
- Appointment booking
- L1 support automation
Frequently Asked Questions
Ready to Get Started?
Let's discuss how voice AI can transform your business. Free consultation available.
How WhatsApp AI programs work in practice (India and US)
The sections below are written for operators and GTM teams evaluating compliant messaging automation, CRM integration, and how voice and analytics layers fit together.
Why WhatsApp automation is a GTM system, not a chat widget
In India, WhatsApp is often a primary revenue and support inbox. In the US, usage patterns vary by segment, but the implementation requirement is the same: clear consent, approved templates, reliable response design, and CRM-ready outcomes. The platform choice alone does not create growth; workflow discipline does.
A scalable WhatsApp program should tie conversation states to business states. Qualified lead, appointment confirmed, ticket created, follow-up pending - these must be explicit records. This allows teams to measure outcome quality and iterate without guesswork.
How we deploy official-platform WhatsApp programs safely
We map acquisition-to-action flows first, then enforce platform constraints such as templates, session boundaries, and escalation policies. This prevents two common failures: shallow bots that users abandon, or unrestricted bots that create policy and quality risk.
Operational readiness includes staffing coverage, SLA expectations, and handoff ownership. Campaign peaks and seasonal spikes should not collapse response quality. We design queue and escalation behavior so quality remains stable under load.
Measurement model: response quality, conversion quality, and governance
Useful metrics include response-time SLA adherence, qualified outcomes, handoff success, and downstream conversion quality in CRM. Raw conversation volume is not a proxy for success. We prioritize measures leadership can use for decisions.
Governance includes transcript sampling, template change controls, and a weekly improvement loop. This keeps automation improving while preserving operational trust.