Dreamforce 2025 made one thing clear: AI, data, and automation are practical tools that reshape how teams work every day. Throughout the event, Salesforce introduced ideas and products that point toward a more collaborative model, where people and AI agents support each other to solve problems faster and deliver better customer experiences.
With the debut of Agentforce 360 and the expansion of Data Cloud into Data 360, the conference highlighted how businesses are moving toward reliable AI-driven operations grounded in real insights. These announcements set the tone for a new era of CRM built around autonomy, accountability, and smarter decision-making.
Let’s walk through the sessions that stood out, the ideas that shaped the event, and how these innovations are already influencing the way teams put AI to work in real environments.
About Dreamforce 2025
Dreamforce is Salesforce’s annual flagship event, an immersive gathering that brings the global Trailblazer community together to learn, share ideas, and get inspired. Since its first edition in 2003, it has grown into one of the most influential events in the industry, known for blending innovation, education, and purpose.
This year’s edition took place in October in San Francisco, with sessions streamed globally through Salesforce+ to allow audiences everywhere to take part.
Dreamforce is known as a celebration of invention and community, offering a mix of hands-on workshops, visionary keynotes, and volunteer activities that reflect Salesforce’s core values: trust, customer success, equality, innovation, and sustainability.
Top 3 sessions
Beyond the community experience, the event also delivers world-class sessions that blend strategic insights with hands-on learning. The 2025 agenda offered a diverse mix of workshops, demos, and panels focused on the practical impact of AI, automation, and data-driven innovation. These are the three sessions that stood out the most.
3 Strategies to Transform Service Excellence with Data 360 | Jonathan Beeston & Ben Holloway
What made this session compelling was how clearly Data 360 is reshaping service operations in real scenarios. Instead of talking about data unification in abstract terms, they showed how service teams actually work when the information is complete and reliable. It changes the pace of support, the accuracy of responses, and the ability to personalize without adding extra workload.
Moody’s example felt especially relevant for those of us who work with clients navigating fragmented systems. Once the data becomes consistent and usable, service stops being reactive and starts contributing to business growth. That shift is something we see often at Nearsure when teams finally gain visibility across their platforms.
Key takeaway: Data 360 enables service teams to deliver faster, more informed, and more valuable interactions by giving them a unified customer view.
Future-Proof Your Org: Build an AI Center of Excellence | Simona Capece & Shankar Iyer
Simona Capece and Shankar Iyer shared how Google has spent years building a Salesforce CoE that brings consistency to the adoption of new capabilities like AI agents.
What’s interesting is how they balance centralization with flexibility. They’ve consolidated a large portion of their Salesforce landscape, reduced operational overhead, and improved security, while still giving individual teams space to innovate. That’s something we often encourage in our own client projects: aligning processes without limiting experimentation.
Key takeaway: A strong CoE creates the stability needed to adopt AI at scale while keeping the organization agile and efficient.
Prompt Builder: Enhance Agents & Apps with Prompt Templates | Joshua Schneyer, Avanthika Ramesh, Tsunayoshi Egawa, Alex Waddell & Liz Awad
One of the most useful parts of Dreamforce this year was this deep dive into Prompt Builder, which is quickly maturing into a more structured, predictable tool for teams.
The customer examples helped visualize the impact of automated processes, better quality checks, and safer interactions in contexts where accuracy really matters. For teams like ours that work across different industries and use cases, the ability to standardize prompts and test them properly is a clear advantage.
Key takeaway: Prompt Builder brings structure to prompt engineering, making AI-driven workflows more scalable and consistent.
Our experience at the Agents for Good Hackathon
Beyond the product announcements and technical deep dives, the hackathon offered a more human perspective on what AI can achieve.
The Agents for Good Hackathon was a powerful reminder of how innovation can drive meaningful impact. Participants explored ways to apply AI for social good, creating solutions aimed at real challenges faced by communities around the world.
Many teams centered their projects on equity, accessibility, and inclusion, demonstrating that technology can be both highly capable and deeply human. We had the chance to present Global Aidgents, a solution built with Agentforce to improve disaster relief coordination by increasing transparency, speeding up response efforts, and strengthening donation management.
If you’d like to learn more about Agents for Good Hackathon 2025, you can read a full blog post here: Agents for Good Hackathon DF25: AI Solutions for Real Impact | Nearsure
Key insights
Dreamforce 2025 placed a strong emphasis on AI agents working alongside people, data becoming context-aware, and collaboration flowing naturally across teams.
Here are some of the major themes and innovations that defined this year’s edition:
1. Agentic enterprise
A vision of organizations supported by autonomous AI agents that assist teams, improve decision-making, and help operations run to support decisions and accelerate execution.
2. Agentforce 360
The new unified platform to build, test, deploy, and govern AI agents across Salesforce. It brings orchestration, reasoning traceability, and low-code tools into one place, helps companies design dependable, cross-cloud workflows, and makes advanced AI orchestration accessible across clouds.
3. Data 360
The evolution of Data Cloud into Data 360 strengthens the foundation for governed, contextual data. It now supports structured and unstructured information, enabling deeper insights and more accurate, contextual interactions.
4. Slack as the Agentic Operating System
Slack becomes the central hub for collaboration between humans and agents. With features like Agentforce Vibes for describe-to-build workflows and Agentforce Voice for real-time voice interactions, teams can work more naturally while accessing powerful AI capabilities.
5. Ethical AI and sustainability
Tools such as Agentforce Net Zero help organizations automate sustainability reporting, model environmental scenarios, and connect these efforts with measurable business outcomes, helping teams connect sustainability goals with actionable insights.
6. Automation and intelligence
AI agents enable grounded and adaptable automation with tools like Agentforce Script and Agentforce Builder, which combine deterministic logic, generative capabilities, and low-code creation to support grounded and adaptable automation.
7. Interoperability and open innovation
The introduction of the Model Context Protocol (MCP) enables AI models from providers like OpenAI and Anthropic to work together, opening the door to more connected and flexible AI ecosystems.
Wrap-up
Dreamforce 2025 showed grounded and adaptable automation. After attending sessions, exploring demos, and participating in the hackathon, one theme kept coming up: AI is becoming practical, governed, and deeply integrated into daily workflows.
Agentic enterprise is already influencing how teams collaborate, automate processes, and use intelligence at scale. Across topics like smarter workflows, sustainability, and ethical AI, this year’s insights showed how organizations can operate with greater intention and impact using the tools introduced throughout the event.
If you’re interested in exploring how these innovations can elevate the way your team works, let’s connect and continue the conversation.
