WhatsApp AI Chatbot Sprint
From FAQ documents to intelligent customer support — in 6 weeks.
Your customers already use WhatsApp. Your support team already answers the same questions hundreds of times a month. The answers already exist in your FAQ pages and product documentation.
What's missing is the bridge: an AI assistant that reads your knowledge base, understands context, and gives accurate, brand-consistent answers on WhatsApp — 24/7, in seconds, at scale.
The WhatsApp AI Chatbot Sprint is a focused six-week implementation program that delivers a production-grade conversational AI, built on LangChain, Retrieval-Augmented Generation (RAG), and Google Cloud infrastructure designed to scale with your business.
This is not a chatbot template. It is a custom AI system trained on your content, deployed on your infrastructure, with full control over tone, guardrails and escalation paths.
How It Works
Architecture Overview
Customer on WhatsApp → WhatsApp Business API → Cloud Run Service → LangChain Agent → Vector DB (RAG Retrieval) → LLM Response → Customer
We ingest your FAQ pages, product documentation, support articles and any structured knowledge into a vector database. When a customer asks a question on WhatsApp, the system retrieves the most relevant content chunks, feeds them to an LLM with your brand guidelines, and generates an accurate, contextual answer.
The entire pipeline runs on Google Cloud — Cloud Run for the API layer, Vertex AI for embeddings, and Cloud Storage for document management. It scales to zero when idle and handles traffic spikes automatically.
Tech Stack
6-Week Sprint Board
Week 1 — Discovery & Scoping
- Audit existing FAQ, docs and support content
- Map top customer questions and intent clusters
- Define tone of voice, guardrails and escalation rules
- WhatsApp Business API registration & verification
Week 2 — Infrastructure & Ingestion
- Google Cloud project setup (Cloud Run, IAM, networking)
- Document ingestion pipeline: chunking, cleaning, metadata
- Vector database provisioning and embedding generation
- LangChain agent scaffold with retrieval chain
Week 3–4 — RAG Pipeline & Integration
- RAG retrieval tuning: relevance scoring, re-ranking
- WhatsApp webhook integration with Cloud Run
- Conversation memory and multi-turn context
- Brand tone enforcement and hallucination guardrails
Week 5–6 — Testing & Launch
- End-to-end testing with real customer scenarios
- Human escalation flow (handoff to live agent)
- Observability: logging, analytics, feedback loops
- Production deployment and launch monitoring
Business Objectives
- Reduce support response time from hours to seconds
- Deflect 60–80% of repetitive queries from human agents
- Provide 24/7 customer support in your brand voice
- Scale support capacity without scaling headcount
- Generate insights from real conversation data
Deliverables
- Production WhatsApp AI chatbot on your business number
- RAG pipeline ingesting your FAQ and documentation
- Vector database with your indexed knowledge base
- Google Cloud infrastructure (Cloud Run, autoscaling, monitoring)
- Admin interface for content updates and conversation review
- Handoff protocol for human agent escalation
- Technical documentation and runbook
Investment & Scope
Fixed-price structure. Defined deliverables. Production-ready in 6 weeks.
- WhatsApp Business API integration
- FAQ & documentation ingestion (up to 100 pages)
- RAG pipeline with vector database
- LangChain agent with single retrieval chain
- Basic conversation memory
- Google Cloud deployment (Cloud Run)
For businesses with a clear FAQ who want to automate first-line support on WhatsApp.
Get Started- Everything in Essential
- Multi-turn conversation with context window
- Human escalation flow (handoff to live agent)
- Tone & brand voice enforcement
- Hallucination guardrails & citation sources
- Conversation analytics dashboard
- Up to 500 pages of content ingestion
For businesses handling high support volume who need reliable, brand-consistent AI responses with human fallback.
Get Started- Everything in Advanced
- Multi-language support (up to 5 languages)
- CRM / helpdesk integration (Zendesk, HubSpot, etc.)
- Custom tool-use agents (order lookup, booking, etc.)
- A/B testing framework for response strategies
- Continuous learning pipeline from feedback
- 12-week post-launch optimization support
For businesses that want a full AI-powered support platform integrated with their existing systems.
Get StartedOptional Add-Ons
- Additional channel: Telegram, Instagram DM, or web widget
- Voice message transcription and response
- Custom LLM fine-tuning on your domain
- Ongoing monthly maintenance and content updates
- GDPR compliance audit for conversation data
Commercial Structure
- 40% at project kickoff
- 30% at mid-sprint review (Week 3)
- 30% upon production deployment
- 6-week structured sprint timeline
- Clear scope documentation before initiation
Note: Third-party costs (WhatsApp Business API fees, Google Cloud infrastructure, LLM API usage) are billed separately at cost. Typical monthly infrastructure: €50–300 depending on volume.
Who This Is For
Businesses with existing customer documentation who want to turn their knowledge base into an intelligent, always-on support channel. E-commerce, SaaS, professional services, healthcare, logistics — any industry where customers ask questions that already have answers.
Your knowledge already exists. We make it conversational.