Dreamforce 2025: The age of the agentic enterprise: A new vision for enterprise AI.

Dreamforce 2025 leaves us with a clear message: what were artificial intelligence pilots a year ago are now consolidating as a new operating architecture: the agentic enterprise, a model where people, data and agents collaborate in an integrated way to scale intelligence and turn it into a competitive advantage.
 

This transformation is not about replacing human work, but amplifying it. Salesforce presented Agentforce 360 as the cornerstone of this change, an ecosystem where automation is combined with reasoning and creativity, and where data becomes the universal language of intelligence. The companies that lead this evolution will be those capable of connecting talent, technology and purpose in a single strategy.
 

The seven keys that define the new business paradigm

From pilots to platform strategy

The maturity of Agentforce 360 proves that enterprise AI is no longer experimental. We are no longer talking about chatbots, but rather governed, scalable, purpose-built agent ecosystems where intelligence is integrated into the heart of corporate strategy.

Democratising the creation of agents and applications

With tools such as Agentforce Vibes, the vibe coding tool that uses AI to allow developers to describe their needs in natural language, and the platform automatically generates code, tests or deployments. Salesforce is thus promoting a new model of inclusive innovation where any team, not just technical teams, can design and deploy agents in natural language, removing barriers and extending AI to the entire organisation.
 

From content to context

The big leap forward for AI this year is cognitive. Thanks to Intelligent Context, the platform processes data, such as PDFs, diagrams or tables, and transforms it into useful information for agents. In this way, they are able to understand unstructured data and transform it into useful knowledge. Automation becomes intelligent and contextual, capable of making meaningful decisions.

Control and governance at scale

Trust remains the cornerstone of agent growth. New observability and reporting features allow you to measure the impact of each agent, audit decisions and ensure that business intelligence evolves with ethics, traceability and transparency.

Data as the core of intelligence

Data Cloud becomes Data Cloud 360, a pivotal evolution of its data architecture. More than just a new name, it represents a redefinition of how companies interact with their information, acting as the central engine of intelligence. With Data 360, data is no longer infrastructure but becomes the nervous system of the company. It unifies structured and unstructured sources in real time, feeding agents with live information that guides faster and more accurate decisions.

Scalability and interoperability

The success of the agentic enterprise depends not only on technology, but also on its ability to connect agents, systems and people. Interoperability and native integration between solutions are the path to truly scalable intelligence.

Redefining the customer experience

Conversation is becoming the new relationship channel. With voice and natural language as the interface, the customer experience is shifting from reactive to continuous: agents who accompany, anticipate and personalise every interaction.

Dreamforce 2025 marks a turning point where we move from automating tasks to industrialising intelligence. AI is no longer a technological promise but a collaborative force that transforms the way we work, make decisions and interact.

The move towards the agentic enterprise is not only technological, but cultural. It requires rethinking how teams collaborate, how processes are designed, and how data is managed. With Agentforce 360, Salesforce realises a vision where sales, marketing, service, and IT operate with intelligent agents that amplify human capabilities, automating operations and empowering strategic decision-making.
 

In this new era, AI does not replace, it collaborates. Companies that adopt managed, measurable and ethical agentic models will lead the shift towards truly integrated intelligence. The challenge now is to move from talking about AI to building companies that think with AI.