Look, I just got back from Dreamforce 2025 and the energy around the “Agentic Enterprise” was actually pretty contagious. We’ve heard about AI for years, but this time it felt like the tools are finally catching up to the hype.
So what does this actually mean for those of us in the trenches? It’s not just about chatbots anymore. We’re looking at a shift where AI agents and humans work on the same team. I’ve seen teams struggle with basic automation before, so seeing this level of integration is a big step forward. But it also means we have to change how we think about our data.
The big reveals from Dreamforce 2025
The main event was definitely the Agentforce rollout. Salesforce is pushing this idea that anyone can build an agent, not just the devs with deep Apex knowledge. Let’s break down the two big pieces that caught my eye. Honestly, most teams get this wrong by focusing on the tech instead of the business process, but these tools might help bridge that gap.
Agentforce 360 and Vibe Coding
Agentforce 360 is basically the hub where you connect your agents to your actual workflows. But the part that really got people talking was Agentforce Vibes. They’re calling it “vibe coding” where you use natural language to build stuff. It sounds a bit gimmicky, but for an admin who doesn’t want to live in VS Code, it’s a huge time-saver.
If you’re wondering how to actually apply this, I’ve found some practical Agentforce use cases that show it’s more than just a demo. It’s about getting real work done without the usual overhead.
Data Cloud and the “Agentic” backbone at Dreamforce 2025
Here’s the thing: your AI is only as good as your data. Salesforce hammered this home by showing off new Data Cloud advances. They’re making it easier to pull in unstructured data – think PDFs or emails – so your agents actually know what they’re talking about. I’ve seen so many projects stall because the data was trapped in silos. This is probably the most overlooked feature of the whole event.
One thing that trips people up is how to ground that data so the AI doesn’t just make things up. If you haven’t looked into it yet, you should definitely check out how RAG works in Salesforce. It’s the secret sauce for making sure your agents stay on track and don’t hallucinate during a customer chat.
Don’t try to automate everything at once. Start with one clear problem – like a specific customer service bottleneck – and get your data clean before you even think about turning on an agent.
Slack and Industry Clouds
We also saw some deep Slack integrations. The goal is to keep the team aligned without jumping between twenty different tabs. And for those in specific sectors like health or finance, the Industry Cloud enhancements mean you don’t have to build everything from scratch. The templates are getting a lot better, which should help with faster setup times.
How to actually move forward
I’ve seen plenty of projects fail because they went too big, too fast. Dreamforce 2025 showed us the future, but you still need a solid plan to get there. Here is how I’d approach it with my clients:
- Fix your data first: If your CRM is a mess, your AI will be a mess. It’s that simple. Clean up those duplicates and fix your naming conventions.
- Set up guardrails: You need human oversight. Don’t just set it and forget it. You’ll need to monitor how your agents are performing.
- Train your people: Vibe coding is great, but your team still needs to understand the logic behind the business process. Tooling is only half the battle.
Key Takeaways from Dreamforce 2025
- Agentforce 360 is the new standard for combining human and AI teams.
- Vibe coding makes building solutions much faster for non-developers and admins.
- Data Cloud is no longer optional if you want to use AI effectively across the business.
- Real-world brands like Pandora and Dell are already seeing faster resolution times.
At the end of the day, Dreamforce 2025 wasn’t just about flashy new tech. It was a reminder that we’re moving toward a more collaborative way of working. For admins and devs, that means shifting our focus toward data quality and governance. If you can get those two things right, you’ll be in a great spot to take advantage of everything Salesforce is building.