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AI Chat Agents

Services/Artificial Intelligence/AI Chat Agents

Artificial Intelligence

AI Chat Agents

Intelligent WhatsApp and web chat agents powered by multi-agent architecture, combining large language models with retrieval-augmented generation for accurate, context-aware conversations.

By the Numbers

80%

Queries Resolved Without a Human

95%

Answer Accuracy with RAG

500ms

Average Response Time

24/7

Availability

How It Works

How We Build Your Chat Agent

01

Knowledge Base Setup

We ingest your documents, FAQs, product catalogs, and policies into a vector database. Each chunk is embedded with multilingual models to ensure accurate retrieval across languages.

02

Agent Design & Routing

We design the multi-agent architecture, defining which model handles each query type. Routing logic is configured so questions reach the most capable agent instantly.

03

Channel Integration

The agent is connected to WhatsApp, your website, or other messaging platforms. We configure webhooks, authentication, and media handling for each channel.

04

Training & Fine-Tuning

We test the agent with real conversation scenarios and refine its responses. Prompt engineering and retrieval thresholds are tuned for optimal accuracy and tone.

05

Launch & Continuous Learning

After go-live, we monitor conversations and expand the knowledge base regularly. New documents and FAQs are embedded automatically, and the agent improves over time.

What We Deliver

Multi-Agent Architecture

Orchestrated system using specialized models like Qwen 72B and Claude for different tasks. Each agent handles its domain expertly, routing queries to the best-suited model.

RAG with Vector Search

Retrieval-augmented generation powered by Zilliz/Milvus vector databases. Your business knowledge is embedded and retrieved in real time for accurate, grounded responses.

Conversation Memory

Persistent chat history stored in Firestore maintains full context across sessions. Agents recall previous interactions to deliver personalized, coherent follow-ups.

SWOT Analysis Engine

Built-in analytical capabilities that generate structured SWOT analyses from conversational data. Helps businesses extract strategic insights directly from customer interactions.

WhatsApp Integration

Native WhatsApp Business API integration for direct customer engagement. Supports rich media, quick replies, and interactive buttons for a seamless mobile experience.

Multi-Language Support

Fluent conversations in Spanish, English, and other languages without separate bots. Language detection and response generation happen automatically within a single agent.

Analytics Dashboard

Real-time metrics on conversation volume, resolution rates, and user satisfaction. Track agent performance and identify opportunities to expand the knowledge base.

Use Cases

Chat Agent Applications

1

24/7 Customer Support

An e-commerce business deploys an AI chat agent on WhatsApp to handle order inquiries, returns, and product questions around the clock. The agent resolves over 80% of tickets without human intervention, freeing up the support team.

2

Internal Knowledge Assistant

A company creates an internal chat agent that answers employee questions about HR policies, IT procedures, and compliance guidelines. RAG ensures responses are always based on the latest approved documents.

3

Lead Qualification Bot

A professional services firm uses an AI agent to qualify inbound leads via WhatsApp. The bot asks targeted questions, scores prospects, and routes high-value leads to sales reps with full context attached.

Technology Stack

Claude AIWhatsApp APIZilliz/MilvusFastAPIFirebaseRAG Pipeline

FAQ

Frequently asked questions

Ready to get started?

Let's discuss how this solution fits your business.

Beyond the Menu Bot: What an AI Agent Grounded in Your Data Actually Does

A conventional WhatsApp chatbot follows a fixed decision tree — the moment a user types something unexpected, the bot breaks down. An AI agent built on a large language model (LLM) and connected to your own documents, product catalog, and policies — a technique called RAG, Retrieval-Augmented Generation — can handle open-ended questions using real, authorized business data. The model does not fabricate information; it can only respond based on the sources you provide. That constraint is a feature, not a limitation: it keeps the AI chat agent accurate, on-brand, and free from the hallucinations that make generic chatbots unreliable. The outcome is a natural, precise conversation that a rigid menu bot simply cannot deliver.

WhatsApp Business API: How We Deploy Your Solution

WhatsApp Business API is Meta's official channel for companies that need volume, automation, and policy compliance. Unlike the free app, the API supports Meta-approved message templates, simultaneous management of thousands of conversations, and integration with external systems. At AISDC we set up your verified business number, create and submit the required templates to Meta for approval, and connect the conversational flow to the LLM and your knowledge base. Deployment includes secure webhooks, session management, and conversation logging for audit purposes. Everything follows Meta's usage policies and data-privacy best practices, ensuring your WhatsApp chatbot runs reliably and without service interruptions from day one.

Use Cases: 24/7 Support, Lead Qualification, Appointment Booking, and Technical Help

An AI chat agent on WhatsApp can absorb the high-volume repetitive work that currently consumes your team's time. Round-the-clock customer support without requiring a human agent to be online at all hours. Lead qualification: the bot gathers name, need, and budget before routing the contact to sales. Appointment scheduling: connected to a calendar, it checks availability, confirms bookings, and sends automatic reminders. First-level technical support: answers common questions using your own manuals and FAQs. Across healthcare, professional services, e-commerce, and education, these flows cut response times and free your team for higher-value work — without replacing human judgment where it genuinely matters.

Integrations and Human Handoff

An isolated WhatsApp chatbot has limited value. The real power comes when the AI agent connects with your CRM to log interactions, with your product catalog to answer inventory and pricing questions, and with your ticketing system to escalate complex cases. AISDC builds the connectors to fit your existing technology stack — whether that's HubSpot, Zoho, Salesforce, Notion, or spreadsheets — and defines clear escalation rules. When the agent detects user frustration, an explicit request to speak with a person, or a topic outside its knowledge base, it hands the conversation to a human agent transparently, passing the full chat history. The customer never has to repeat themselves; the transition is seamless, and your team has the context needed to resolve the issue immediately.