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Engage More With

Just One Prompt

One Prompt

Stop sending your messages manually. Just prompt Communicat-O’s AI to get follow-ups, opportunity gaps, and personalised engagement via custom APIs – all without Salesforce.

How the Communicat-O and AI Engagement Layer Works

Stop wondering and let your CRM do the talking. Just one prompt and you can get all the information you need.

Claude does the logic and language

  • It processes the threads, summarizes them, writes answers and asks questions in plain English.
  • Claude does not know anything about your customers on its own.

MCP is the connection layer

  • It is the open standard that enables the collaboration between an AI assistant and a business system in the permissioned manner.  
  • No need for any custom middleware and copying the data to someplace where it should not be. 

Salesforce Holds Your Business Truth

  • Accounts, cases, pipeline, history, and the permission model that determines who sees what.  
  • The work of Claudeforce from Salesforce opens up this platform for AI through MCP, while preserving the business rules as before. 

Communicat-O Binds all three layers

  • Messages on multiple channels, owners of the threads, commitments, outstanding items, customer reactions to links and campaigns. 
  • All your sales reps do is attach the custom MCP and start prompting. Start messaging qualified leads without scouting the database. 

Claudeforce: The Only Agent You'll Ever Need

How Every Team Uses This Engagement Layer 

Sales

Sales

Task

Prepare before contacting a customer

AI-assisted Engagement

  • Recap the account history and previous communications across channels 
  • Write a follow-up that acknowledges past conversations 

Marketing

Marketing

Task

Analyze the campaign responses 

AI-assisted Engagement

  • Analyze communication patterns and clicks across channels 
  • Detect the message versions which elicited a genuine response, not just an open 

Service

Service

Task

Discover the unresolved thread 

AI-assisted Engagement

  • Spot threads that are pending response or an owner 
  • Detect threads in which the same question is repeatedly asked 

Management

Management

Task

Evaluate the team performance 

AI-assisted Engagement

  • Recap volumes and responsiveness and identify focus areas 
  • Identify inactive accounts 

The 4 Step Process to Implement this AI Engagement Layer

Channels are left in place

The WhatsApp Business API, SMS gateway, LINE or Zalo integration continues to operate via Communicat-O just as it does today. Re-provisioning is not required, and numbers do not change.

Messages are already in Salesforce

Each incoming and outgoing message is linked to its respective record along with ownership details, status, and history associated with it. This is the context that is interpreted by the reasoning layer.

MCP lets Claude into an exclusive room

The custom-made MCP capability makes this conversation context available to Claude within the Salesforce and Communicat-O user permissions the requesting user possesses. There is no need for additional data storage or authorization mechanisms.

Straightforward prompt substitutes research

Rather than navigating records and threads manually, an agent inputs a request as if asking a colleague. Claude looks at the context and composes a message. it is reviewed by a rep and sent via same channel.

Frequently Asked Questions

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Got more Questions? Get Answers here.

It is the layer that sits between your customer conversations, your CRM data and an AI assistant, allowing a person to request the information they need using natural language and execute the results. The difference with a chatbot lies in the recipient: a chatbot speaks to your customer, whereas an engagement layer helps your team with the context and writing. 

Claude provides reasoning over the conversations and CRM context. Communicat-O provides the conversations and the Salesforce-native context around them. This integration is under development, extending the existing agentic AI capabilities of Communicat-O. 

MCP is the open standard that enables an AI assistant to access the business systems securely and with their permissions preserved. This is how Claude accesses Salesforce data and, in this particular implementation, Communicat-O conversation context. 

Yes. The conversation data is stored within Salesforce, so all role, sharing and field level rules apply. 

All the above-mentioned channels – WhatsApp (with calling), SMS, RCS, Telegram, Viber, LINE, WeChat, WeCom, Zalo, Instagram, Facebook Messenger and Intercom – in one unified inbox inside Salesforce. 

Yes. Sales people can leverage it for follow-ups, leads management and bulk messaging while service people can take advantage of it for triaging, assigning and keeping conversations going. 

No. Your current inbox, assignment and automation will remain intact as they are. We’re implementing artificial intelligence support to your current processes, not substituting them with something else. 

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