Dreamforce has always been the place to see what’s next in the Salesforce ecosystem — and 2025 is shaping up to be a landmark year for AI innovation. With the convergence of generative AI, Data Cloud, and new agentic capabilities, Salesforce is redefining how enterprises connect with customers, scale operations, and make real-time decisions.
This year, we’re watching five innovations in particular, each with the potential to transform how organizations operate. As an experienced Salesforce consulting partner, AllCloud is already helping clients take early advantage of these capabilities. We are focused on five key innovations: Salesforce Agentforce, Native RAG Capabilities, Cross-Cloud Activation, Enhanced Model Orchestration, and AI Safety & Trust Controls.
1. Salesforce Agentforce: Automating Complex, Goal-Oriented Workflows
The evolution from copilots to autonomous agents is happening fast. Agentforce — Salesforce’s new framework for goal-oriented, multi-step AI agents — takes automation far beyond simple prompts. These agents can execute complex workflows across Sales, Service, and Marketing Clouds, interacting with both Salesforce-native and external systems to complete tasks end-to-end.
The potential is game-changing for organizations using Agentforce: faster resolution times, more consistent execution, and the ability to scale operations without adding headcount.
AllCloud has been working with early adopters to deploy Agentforce pilots that start with a strong data foundation, ensuring each agent is powered by accurate, domain-specific context. Our approach focuses on data readiness, business alignment, and measurable outcomes for every project.
Expect big news around the latest developments with Agentforce to be announced at Dreamforce.
2. Native RAG Capabilities in Einstein 1: Grounding AI with Proprietary Data
Retrieval-Augmented Generation (RAG) is a proven architecture for providing business context to enterprise AI. By pulling in live, proprietary data like CRM records, documents, and cloud files before generating a response, RAG ensures outputs are grounded in facts.
Einstein 1’s new native RAG capabilities will make it easier to deliver context-rich AI experiences directly inside Salesforce. For example, teams can generate personalized proposals from up-to-date account histories or give customer success representatives real-time answers pulled from the latest product documentation.
AllCloud has been on the front lines helping clients design the retrieval layer and data governance strategy needed to make RAG effective at scale — keeping AI responses accurate, relevant, and compliant. We’re excited to see Dreamforce highlight new ways to use your own CRM, cloud, and document data with Einstein 1.
3. Cross-Cloud Activation Through Data Cloud: Leveraging Real-Time Integration
Data Cloud acts as a harmonizer across the Salesforce platform. By unifying customer data from multiple sources into a single, real-time profile, teams can integrate experiences across Marketing, Commerce, and Service Clouds without latency issues or the risks involved in moving data between systems.
Imagine a customer making a purchase online, instantly triggering a proactive service check-in without manual intervention. This is just one example of how organizations can unlock connected experiences. At Dreamforce, we anticipate even more native cross-cloud activation capabilities to be revealed, powered by zero-copy architecture (which allows data sharing without physical duplication) and real-time triggers.
4. Enhanced Model Orchestration: Blending AI Reasoning with Business Workflows
We expect to see new Salesforce tooling (powered by Agentforce, Data Cloud, and Flow Orchestration) that seamlessly coordinates large language models alongside rule-based systems and business workflows.
This orchestration will give teams the flexibility to route each step of a process to the best decision engine, whether that’s an LLM for generating personalized recommendations, a deterministic flow for enforcing compliance, or a rule set for triggering critical actions. By blending AI-driven reasoning with structured automation and real-time customer data, Salesforce is enabling organizations to create faster, more adaptive, and deeply trusted customer and employee experiences.
We’re excited about helping clients with enhanced orchestration strategies to ensure AI integrates seamlessly with established processes. Flexibility is key to getting consistent, effective outcomes from complex workflows.
5. AI Safety & Trust Controls: Ensuring Enterprise Governance and Compliance
No AI innovation will gain enterprise adoption without strong governance — nor should it. Salesforce continues to lead in safety and trust with Responsible AI features that make it easier to manage risk. Model auditing, consent management, and policy enforcement are all built into the platform to align deployments with both regulatory requirements and company values.
At Dreamforce, look for announcements that expand these controls, giving organizations deeper visibility into how AI decisions are made and the ability to apply governance policies across multiple AI systems. Salesforce is committed to ensuring innovation can move forward without compromising trust.
See Innovation in Action: Meet the AllCloud Team at Dreamforce 2025
From autonomous agents to real-time cross-cloud experiences, Dreamforce 2025 is set to showcase the next wave of Salesforce AI capabilities — and AllCloud will be there to help you turn these innovations into business results.
As a strategic Salesforce consulting partner and AWS Premier Partner, AllCloud is uniquely positioned to architect solutions that connect Salesforce innovations directly to your underlying cloud and data infrastructure. We will be there to help you turn these innovations into measurable business results.
Discover all the ways you can connect with AllCloud at Dreamforce.