Sales case study

AI Communication Suite
4 channels, 1 AI brain

One AI brain across WhatsApp, Telegram, email, and web chat, synced with Salesforce so conversations keep their context everywhere.

CRM & Sales Salesforce CRMMulti-ChannelAutonomous Agents

Industry

CRM & Sales

Timeline

5 weeks from architecture to multi-channel deployment

Outcome

4 channels, 1 AI brain

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Result snapshot

4 channels, 1 AI brain

Instead of fragmented conversations across separate inboxes, the business now has continuity, memory, and cleaner CRM data across the full customer journey.

Cleaner lead history regardless of where the conversation starts

Fewer duplicate or context-blind responses

A better foundation for qualification, follow-up, and sales reporting

/ The challenge

Where the bottleneck actually was

A sales team was losing context every time a customer switched channels. Someone might message on WhatsApp, then follow up by email, then ask another question on web chat and get treated like a brand-new conversation each time.

Leads and customers changed channel constantly, breaking continuity.

Important context lived in inboxes instead of the CRM.

The team spent too much time reconstructing conversation history.

/ What we built

A system built around the real workflow

We deployed a single AI communication layer across WhatsApp, Telegram, email, and web chat, connected directly to Salesforce. The system remembers prior interactions, logs new ones automatically, and gives both the AI and the human team the same shared context.

Module 01

Channel integrations across WhatsApp, Telegram, email, and web chat

Module 02

Shared memory layer for customer context and conversation state

Module 03

Salesforce syncing for every inbound and outbound touchpoint

Module 04

Routing logic for autonomous replies, drafts, and human escalation

Build profile

Stack

Salesforce CRMWhatsAppTelegramEmailWeb chat

Proof source