Agentforce League : Session 04 (Slack) – 3rd Jan 2026

26 - Notes & Insights by ABSYZ

Agentforce League : Session 04 (Slack) - 3rd Jan 2026

The fourth session of the Agentforce League (Session 20/26) delivered an engaging deep dive into how Salesforce Automotive Cloud, AI-powered agents, and Slack come together to enable real-time, conversational business workflows. The session combined industry context, data modeling, and a live demo to show how agents built in Salesforce can operate seamlessly within Slack.

Week 4 is Live

Introduction to Automotive Cloud

The session kicked off with an overview of Salesforce Automotive Cloud, providing a foundation for the use case demonstrated later. Automotive Cloud is designed to unify data across the automotive ecosystem and deliver a 360-degree view for manufacturers, dealers, and customers.

It brings industry-specific data models and workflows directly into Salesforce, enabling organizations to manage vehicles, customers, dealers, and services efficiently—all on a single platform.

Agetnforce 360 for Automotive

Understanding the Automotive Cloud Data Model

A walkthrough of the Automotive Cloud data model followed, highlighting how Salesforce extends its standard object model to support automotive-specific requirements.

Key aspects covered included:

  • Integration of standard Salesforce objects like Accounts, Products, Assets, and Leads

  • Automotive-specific objects such as Vehicles, Vehicle Definitions, and milestones

  • Representation of real-world entities like dealers, customers (person accounts), and owned vehicles

  • A scalable, industry-aligned data foundation that supports complex automotive workflows
Automotive Cloud Data model

Introduction to Slack

Before moving into the integration demo, the session introduced Slack as a modern collaboration platform where teams communicate and get work done. Slack acts as a centralized digital workspace, enabling conversations across channels, direct messages, and integrated tools.

By connecting Slack with Salesforce, users can bring CRM data and AI-driven agents directly into their daily conversations—eliminating the need to switch between applications and allowing teams to act on information instantly.

Slack

Connecting Salesforce with Slack

The core technical segment demonstrated how Salesforce is connected with Slack, enabling a seamless bridge between CRM data and team collaboration.

This process included:

  • Establishing a secure connection between Salesforce and Slack
  • Exposing Salesforce agents to Slack workspaces
  • Making agents accessible within Slack channels and conversations
Connect Salesforce and Slack

Bringing Salesforce Agents Live in Slack

A key highlight of the session was the live demo showing how an agent created in Salesforce can be deployed directly in Slack. Once available, the agent could interact with users in real time using natural language.

The agent was able to:

  • Fetch information from Salesforce
  • Update existing records
  • Respond contextually within Slack conversations

This demonstrated how agents can operate beyond Salesforce UI and meet users where they already collaborate.

Agents as Both Assistants and Teammates

The session emphasized that agents are not limited to being background automation tools. Instead, they can operate in two powerful modes:

  • Agents: Users can directly interact with the agent through its dedicated chat window, asking questions, fetching information, and performing actions using natural language—much like having a personal AI assistant available on demand.

  • Teammates: Agents can also participate as collaborators within Slack channels. By tagging the agent using @mention, users can prompt it just like a human teammate—asking questions, requesting updates, or triggering actions directly within ongoing conversations.

Resources and Helpful Links

Author: Tejas Jain

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