When Salesforce announced Agentforce in 2024, it felt like a glimpse into the future of AI in the enterprise. Fast forward to Dreamforce 2025, and that vision has evolved — now it’s about Agentforce 360 and something Salesforce calls the Agentic Enterprise.

“Agentforce 360 connects AI agents, humans, data, and workflows to elevate human potential in the age of AI.”
 — Salesforce Press Release, Dreamforce 2025

At first glance, it sounds like another big buzzword moment. But if you look closer, Salesforce is signalling something much deeper — a shift from “AI features” to AI teammates that work with us, not just for us.

What’s New with Agentforce 360

Agentforce 360 is Salesforce’s biggest AI leap yet. It’s not just about embedding AI inside the CRM; it’s about giving companies the tools to build their own AI agents — securely and at scale.

In short, businesses can now:

  • Create low-code or no-code AI agents that automate tasks inside Salesforce.

  • Let those agents connect with tools like Slack, Service Cloud, or even Google Workspace.

  • Control it all through Salesforce’s built-in governance and trust layer.(Source: SalesforceBen)

And some early adopters — like Williams-Sonoma, Inc. and Wiley — are already rolling this out to support their customer service teams. (Source: Salesforce Investor News)

But…Here’s the Reality

Agentforce 360 is a strong foundation — but it’s not the full story.
Most enterprise workflows don’t live only inside Salesforce. They stretch across marketing tools, ERPs, data platforms, in-house systems and project management systems.

That’s where the real opportunity lies — cross-system AI agents that go beyond CRM and handle the messy, repetitive work that slows teams down.

Some Real-World Agent Ideas

Here are a few AI agent ideas that could easily plug into or extend the Agentforce vision — ones I think could make a real difference for enterprise teams:

  1. Lead-to-Account Intelligence Agent: B2B leads often already belong to existing accounts. This agent auto-detects duplicates, routes leads correctly, and merges data — aligning sales and marketing without endless manual cleanup. — A RevOps analyst that never sleeps.

  2. Pipeline Sanity Agent: Forecasts go off-track when data gets stale. This agent reviews open opportunities, checks for missing details or inconsistent stages, and pings reps in Slack with quick nudges. — Keeps your pipeline honest — and your manager happy 😊*.*

  3. Implementation Tracker Agent: Once a deal closes, chaos usually begins. This agent auto-creates onboarding projects in Jira or Asana, tracks milestones, and updates Salesforce as work progresses. — A simple way to bridge sales and delivery.

  4. Customer Health Agent: By analyzing CRM activity, support cases, and even sentiment, this agent predicts customer churn risk and alerts CSMs in advance. — A smart co-pilot for customer success.

Building on Agentforce — Not Competing with It

Salesforce designed Agentforce 360 to be open and extendable — that’s the best part. It gives developers and architects the secure foundation to build their own AI agents that can pull context, automate decisions, and orchestrate workflows across platforms.

“Agentforce 360 gives every company the power to become an Agentic Enterprise.”
 — Marc Benioff, Dreamforce 2025 Keynote

That means instead of just using Salesforce’s built-in agents, we can build our own, tailor-made for our business needs.

The Bigger Picture: What the “Agentic Enterprise” Really Means

The idea of an “Agentic Enterprise” isn’t about replacing people — it’s about amplifying them.
It’s a workplace where every employee has a few AI agents quietly taking care of the repetitive stuff: gathering context, writing follow-ups, syncing data, or analyzing signals.

As Benioff said at Dreamforce,

“Innovation is far exceeding customer adoption. The opportunity now is to operationalize the power of these agents across the enterprise.”
 — Business Insider, Oct 2025

That gap between what’s possible and what’s actually implemented is where builders — especially Salesforce architects, admins, and AI enthusiasts — can make a huge impact.

My Takeaway

Salesforce just gave us the playbook and the platform. Now it’s on us to build the next layer — the specialized, cross-system AI agents that make real business impact.

We’re entering an era where automation becomes orchestration — and data turns into action through intelligent collaboration between humans and machines.

That, to me, is the real Agentic Enterprise. Love to hear your take on this & especially the ideas I listed above.