Salesforce Launches ‘Agentforce 360’ at Dreamforce ’25

Salesforce Launches ‘Agentforce 360’ at Dreamforce ’25 | Explained

Salesforce announced the general availability of Agentforce 360, the most recent edition of its flagship AI product, as Dreamforce gets underway.

The CRM giant stated that, while others are “just beginning” to demonstrate what is possible with agentic AI, they have spent the past year delivering it, with four key releases, thousands of client installations, and Salesforce as client Zero.

Salesforce’s Chair and CEO, Marc Benioff, stated, “We are entering the age of the Agentic Enterprise, in which AI will boost human potential like never before. Agentforce 360 unifies humans, agents, and data on a single trusted platform, enabling every person and enterprise to do more than they ever imagined possible.”

A Deep Dive into Agentforce 360

Salesforce’s current iteration, dubbed ‘Agentforce 360,’ consists of four ingredients.

Agentforce 360 Platform: Agentforce’s base, which now includes a new conversational builder, hybrid reasoning for increased control and accuracy, and voice capabilities.

Data 360 (also known as Data Cloud) is the data layer that provides agents with context. Companies may transform unstructured data and analytics into rich context and understanding for AI by implementing breakthroughs such as Intelligent Context and Tableau Senematics.

Customer 360 Apps: Every enterprise’s business logic and institutional memory, which captures how it sells, services, markets, and operates, is now brought to life by AI agents who deeply understand each customer and process from the inside out.

Slack: A conversational interface enabling humans and agents to collaborate, connecting knowledge, activities, and data in real time.

Salesforce claims that this enables businesses to deploy agents based on controlled, trusted data, operate across teams and workflows, engage with humans and other agents directly in Slack, and leverage existing processes, business logic, and data infrastructure.

Salesforce states that its open ecosystem allows partners to extend its technology into “every industry with tailored solutions and services.”

Step Into the Future with Agentforce 360

Agentforce 360, the new centerpiece of Salesforce’s AI strategy, was the main attraction at Dreamforce ’25. Consider it the connective tissue between Sales, Service, Marketing, Commerce, Slack, and Tableau. Every app may now access the same AI models and data, assuring consistent reasoning and accurate outcomes.

At its core, Agentforce 360 operates through four foundational layers:

The Agentforce Platform: where agents are designed, tested, and deployed, now includes voice interaction and a conversational “Builder” workspace.

Data 360 (previously Data Cloud): The data intelligence layer that provides agents with context and governance.

Customer 360 Apps: Salesforce’s familiar applications, now enhanced with AI that intimately understands business operations.

Slack: The conversational front door where people and agents may collaborate in real time.

Agentforce 360 Features That Transform Collaboration and AI Productivity

Agentforce 360 intends to deliver the most reliable and accessible agents ever, meant to reason, act, and work alongside people, with features such as:

Agentforce Builder is a revolutionary conversational development studio that allows teams to create, test, and deploy agents using natural language with no manual configuration.

Agentforce Voice is a native voice layer that converts IVR systems into genuine, real-time conversations using low-latency transcription, realistic speech synthesis, and extensive Salesforce integration.

Hybrid Reasoning and Agent Scripting: This approach blends deterministic workflows with flexible LLM reasoning. Agent Script, which is driven by the flexible Atlas Reasoning Engine, allows developers to set guardrails, tool use, and logic.

Agentforce Vibes: Extends low-code development to AI, allowing developers to “vibe-code” solutions based on company data and governance.

Observability: New dashboards enable teams to monitor logic, correctness, and compliance.

Agent Script, a new scripting language for controlling agents, is a key feature of the new edition. It allows you to specify agent behaviour using a human-readable expression language, allowing for conditional logic, precise tool use, and guided, deterministic controls.

Agent Script is a high-level, human-readable, portable JSON expression language for controlling agents. It enables teams to describe complicated agent logic, such as conditionals, “if/then” rules, and handoffs.

The Atlas Reasoning Engine is now adjustable, allowing teams to “balance the inherent creativity” of LLMs with the “certainty of structured business logic,” accordingly to Salesforce, resulting in more consistent agent behavior.

Agentforce 360 Platform now supports Google Gemini as a model for the Atlas Reasoning Engines, adding OpenAI and Anthropic, providing even more options for what models Agentforce uses to reason and plan.

Core Capabilities That Power Agentforce 360

Automated Context Extraction: Transforms complicated, unstructured materials into organized, actionable data for Agentforce.

Low-code configuration: Create unstructured data pipelines in hours, not days, with minimal technical effort.

Multimodal support: Supports PDFs, tables, photos, flowcharts, and other types of content.

Seamless connection with Data 360: Using AI, create a search index and activate it anywhere for secure, relevant, enterprise-ready operations.

Also Read: What is a Salesforce Developer and What does it do?

Data 360 Redefines How Businesses Harness Their Data

The word ‘Data 360’ in the news release explaining the new features is linked to salesforce.com/data, the Data Cloud homepage. So that looks like another Salesforce product rename!

According to Salesforce, Data 360 activates a company’s structured or unstructured data to empower every agent with business context and customisation.

Intelligent Context allows agents to access unstructured content, such as PDFs or diagrams, to guide users through real-world tasks like troubleshooting and analysis.

The Customer 360 Semantic Data Model (SDM) uses Tableau Semantics to transform data into business language and provide consistent metrics across clouds.

“With partners Databricks, dbt Labs, and Snowflake, Salesforce is enabling standardized semantics across platforms,” the organization claims.

Final Verdicts

This is the end of this article. We hope you’ll get the complete information about this new Salesforce Agentforce 360. For more information and to get updates on Salesforce, follow us at CloudMetic.

Note: We are a top-rated Salesforce consultants and Salesforce service provider with a 5-star rating on Appexchange. Have questions or need assistance? Connect with us: Sales@cloudmetic.com

Salesforce Launches ‘Agentforce 360’ at Dreamforce ’25 | Explained

A Deep Dive into Agentforce 360

Step Into the Future with Agentforce 360

Agentforce 360 Features That Transform Collaboration and AI Productivity

Core Capabilities That Power Agentforce 360

Data 360 Redefines How Businesses Harness Their Data

Final Verdicts

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