Customer Experience

Chat Agent

Conversational AI for web, mobile, and messaging platforms

Chat Agents deliver instant, contextually intelligent conversations across every digital channel — website widgets, mobile apps, WhatsApp, Slack, Teams, and social platforms. They go beyond scripted chatbots by understanding nuance, handling multi-turn dialogues, accessing real-time business data, and taking actions on behalf of users including placing orders, updating accounts, and resolving issues.

<1 sec

First Response

82%

Resolution Rate

4.7/5

CSAT Score

12+

Channels Supported

Core Capabilities

Omnichannel deployment across web, mobile, WhatsApp, Slack, Teams, and social media simultaneously

Multi-turn dialogue with memory — agents remember context across sessions and channels

Real-time data access — pull order status, account information, and inventory from live systems

Action execution — process transactions, update records, and trigger workflows mid-conversation

Proactive engagement — initiate conversations based on user behaviour, cart abandonment, or lifecycle triggers

Visual content handling — process images, screenshots, and documents shared in conversation

Use Cases

E-commerce support — answer product questions, track orders, process returns in real-time

Banking — balance enquiries, transaction disputes, card management through secure chat

Healthcare — symptom pre-screening, appointment booking, medication reminders

SaaS onboarding — guide new users through product setup with contextual assistance

Internal helpdesk — IT support, HR queries, and facilities requests via Slack/Teams

Lead qualification — engage website visitors and qualify them for sales outreach

How It Works

Channel Integration

Messages are received from any connected channel through a unified message bus, normalised into a standard format with channel-specific metadata.

Context Assembly

User history, account data, recent interactions, and relevant knowledge base articles are assembled into a rich context window for the AI model.

Reasoning & Action

The agent reasons about the user's intent, determines whether to respond, ask for clarification, or take an action (API call, database update, workflow trigger).

Response & Learn

Responses are delivered in the appropriate channel format. Interaction outcomes feed into continuous learning loops to improve future performance.

Technology Stack

WebSocketLLM OrchestrationTool-Use FrameworkRedisPostgreSQL

Integrations

WhatsAppSlackMicrosoft TeamsIntercomZendeskShopify

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