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AI Agents · WhatsApp · Web · Internal

Your WhatsApp answers
at 3 AM. Your team sleeps.

AI agents trained on your business — answering questions, qualifying leads, and booking calls around the clock. On WhatsApp, on your site, or inside your team's internal tools.

Three agent types

One system. Three ways it works for your business.

Each agent type is trained on your actual data — your FAQs, your products, your database. Not a generic chatbot. An agent that sounds like you.

Customer Support Agent

Handles inbound questions on WhatsApp or your site. Pulls answers from your knowledge base instantly. Escalates to a human when the question goes beyond its scope.

Trained on your FAQs and docs Responds in under 3 seconds Escalates complex queries Supports Arabic + English

Lead Qualification Agent

Asks 3–4 qualifying questions, scores the lead, and either books a Calendly slot directly in the conversation or flags the lead for your sales team with a full summary.

Custom qualification criteria Books straight to Calendly Sends summary to your CRM Runs 24/7 with zero intervention

Internal Database Agent

Your team asks questions in plain language — "What was our best-performing campaign last quarter?" — and the agent queries your database and returns a clear answer in seconds.

Natural language → SQL Connects to your existing data No dashboard needed Available via Slack or WhatsApp
How it works

Trained on your data. Not the internet.

The agent uses RAG — Retrieval-Augmented Generation. Your documents, product pages, FAQs, and past conversations are stored in a vector database. When a question comes in, the agent retrieves the most relevant pieces of your own content and uses them to generate the answer.

The result is an agent that sounds exactly like your business, because it's drawing from your words — not generic training data. Every time you update your content, the knowledge base updates automatically.

  • Your documents are the source of truth, not general AI knowledge
  • Updates to your content reflect instantly in agent responses
  • All data stays private — not used to train shared models
  • Works with PDFs, Google Docs, Notion, and Airtable

Your documents

FAQs, product pages, pricing, past conversations

Vector database

ChromaDB — semantic search over your content

AI agent

LangChain · retrieves context · generates answer

Response delivered

WhatsApp · Web chat · Slack · in under 3 seconds

Human handoff

The agent knows when to step aside.

When a conversation crosses a complexity threshold — an angry customer, a large deal, a question outside its scope — the agent hands off cleanly to a human, with full conversation context attached.

Handoff triggered
Conversation complexity threshold exceeded · request involves custom pricing outside knowledge base · user expressed frustration
Koutaiba · Account ManagerFull conversation transcript attached · notified via Slack
Agent message to user
"Great question — let me connect you with a specialist who can give you a more detailed answer. They'll be with you within a few minutes." ✓✓

Threshold is yours to define

Set by topic, sentiment, deal size, keyword triggers, or message count. The agent escalates exactly when you want it to.

Full context handed over

The human receives the complete conversation transcript, lead score, and a one-line AI summary of what the customer needs — before they type a word.

Zero dropped conversations

The agent never silently closes a chat. Every unresolved conversation is flagged and routed to a human — with urgency classification included.

<0sAverage response time on WhatsApp, web chat, and Slack — across all hours of the day
0/7Lead qualification and customer support running without any human involvement or monitoring
0%Of unresolved conversations escalated to a human — no dropped chats, no missed leads
Next step

Ready to deploy an agent trained on your business?

Book a call. We connect your knowledge base, build the agent, and have it live on WhatsApp within two weeks.

Book a call

No sales pitch, just a conversation.