AI detects high-confidence, common queries and sends templated responses instantly — no human needed. Covers order status, billing, and FAQs via any channel.
1
Query received on any channel
2
AI classifies intent in <300ms
3
Template auto-sent with live data
4
Resolution logged to dashboard
Eliminates 57% of manual replies
🤖
RAG-Powered AI Chatbot
LLM chatbot trained on your product catalog, policies, and FAQs using Retrieval-Augmented Generation. Answers are grounded in real company data — no hallucinations.
1
Customer asks product or policy question
2
Vector DB retrieves relevant context
3
LLM generates accurate, sourced reply
4
Customer gets instant answer 24/7
Handles 40% of support volume
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Workflow Automation (CRM + Billing)
n8n/Make workflows automatically process refund requests, subscription changes, and account lookups by connecting your CRM, billing system, and product database.
1
AI detects refund or account intent
2
Webhook fetches data from CRM/billing
3
Eligibility check via policy rules
4
Auto-approve or escalate with context
Saves 3–4 hrs/day of agent time
🚨
Smart Escalation Engine
When AI confidence is low or sentiment is negative, the system escalates automatically with full context — query, category, customer history — to the right human agent.
1
AI confidence score < 75%
2
Sentiment flagged as frustrated/urgent
3
Full context packet assembled
4
Assigned to right agent in <2 mins
Cuts escalation handle time by 60%
Scalability — how the system grows with query volume
☁️
Serverless AI inference
OpenAI API scales automatically — no servers to manage. Same latency at 10 or 10,000 queries/hour.
🗄️
Vector DB for knowledge at scale
Pinecone stores your entire knowledge base as embeddings — fast retrieval even with 100K+ documents.
🔀
Message queue for traffic spikes
n8n queues incoming messages during peak hours — no query dropped, processed in order.
📊
BigQuery for analytics at scale
Dashboard updates live via streaming aggregation. Handles millions of rows with no performance impact.