What’s New in Agentforce 3.0: Features, Updates, Command Center 

Enterprise AI agents are growing up, reshaping sales, service, and internal operations across industries with autonomous actions, and almost unbelievable intuition. Unfortunately, most businesses are still struggling to scale them. Why? Because even the most sophisticated agentic AI solution can be hard to build, govern, and even monitor once they’re deployed.  

Many companies are still struggling with disconnected tools, black-box automation, and workflows that break the moment something changes.  

That’s why Agentforce 3.0 from Salesforce is truly revolutionary.  

The Agentforce 3 release isn’t just a basic upgrade to Salesforce and artificial intelligence. It introduces real-time observability, open architecture for seamless integrations, and an upgraded Atlas engine designed for speed, resilience, and scale. It’s not just smarter. It’s more practical.  

Over 8,000 customers are already live on Agentforce, and usage has surged by 233% in just six months, proving that this isn’t just a smart platform, it’s a scalable one – but only if you know how to use it. That’s where Routine Automation comes in, helping you take advantage of the latest Salesforce Agentforce 3 features, capabilities, and opportunities. 

What Is Agentforce 3 Command Center? 

The Salesforce Agentforce 3 announcement introduced a lot of exciting changes, but the biggest update is the arrival of a new Command Center. When you launch a new AI agent, you should be able to answer one simple question: “Is it working?” 

The problem is most companies can’t. They rely on vague performance reports, fragmented logs, or user complaints to figure out what’s going wrong. The Agentforce 3 command center delivers the visibility enterprise teams have been missing.  

Built into the Agentforce Studio, this observability layer lets you monitor: 

According to Salesforce, companies like 1-800Accountant now resolves 70% of support cases with autonomous agents, monitored in real time via this panel. You don’t just get numbers either.  

You can replay agent actions, trace decision paths, and receive system-generated recommendations to fine-tune agent behavior. RA helps our clients create team-specific views,  giving execs insight into cost, managers visibility into performance, and developers access to deep telemetry. 

Telemetry and Analytics Integration 

The best part? The AgentForce 3 command center natively integrates with: 

• OpenTelemetry 
• Splunk 
• Datadog 
• Salesforce Data Cloud 

That means your agents don’t just operate in a silo, they plug directly into your enterprise observability stack. Supervisors in Service Cloud even get real-time wallboards showing both human and AI agent activity side by side.  

Our team at RA can also integrate alerts and dashboards into your Slack, email, or PagerDuty flows, so nothing falls through the cracks. With Salesforce Agentforce 3 AI agent observability, you finally gain the visibility to deploy AI with confidence. 

Open Architecture with Model Context Protocol (MCP)  

Model Context Protocol (MCP) is Salesforce’s open standard for connecting agents to third-party tools. It’s basically “USB-C for enterprise AI.” 

With the MCP Salesforce Agentforce 3 update, agents can now: 

Routine Automation helps set up these connections using certified best practices,  including guardrails, approval policies, and usage limits. 

Plus, MCP is powerful, but it’s not just for developers. Thanks to Salesforce’s MuleSoft tooling, you can turn APIs into ready-to-use agent actions with minimal effort. 

Let’s say you want an agent that sends invoices from Stripe, logs the transaction in QuickBooks, and sends a confirmation email. MuleSoft makes that agent-build a simple configuration task. Plus, with Heroku AppLink, you can even host and manage your own custom agents, then connect them through MCP like any other integration. 

Platform Upgrades: The New Atlas Architecture  

Atlas, the brains behind Agentforce 3, has gotten a serious upgrade too, focused performance, flexibility, and resilience.  

The architecture is now speedier than ever (50% lower latency since 2025). That’s thanks to improvements in real-time streaming and smarter data routing. Atlas also now supports session tracing, streamed responses, and inline citations, which means output is faster, safer, and more trustworthy.  

These Salesforce Agentforce 3.0 updates also include real-time web search and inline citation support, giving agents the power to source, ground, and justify responses with traceable context. 

Beyond that, companies can access more languages, more geographies, and more opportunities to build in their own large language models. If you have a model you already love, Salesforce Agentforce 3.0 supports options ranging from Anthropic Claude (hosted via Amazon Bedrock), Google Gemini, and more.  

If a model goes offline? No problem. Automatic model failover ensures continuity with zero disruption to users. Routine Automation helps clients configure custom failover logic and observability layers too, so you’re not just fast, you’re fault-tolerant. 

Expert Agentforce Integration by RA 

Our team builds resilient agent frameworks using Atlas, multi-LLMs, and governance best practices. Ask us how.

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Expanded Action Set and Ready-to-Use Agents  

With Agentforce 3, Salesforce is really doubling down on its flexible, open architecture. Let’s say you don’t want to start from scratch, asking “what is Salesforce Agentforce, and what can I do with it?” You want to get agents up and running, fast. That’s exactly what the expanded AgentExchange was built for. 

Inside Agentforce 3, you’ll now find a library of 100+ pre-built actions across common enterprise use cases, including sales outreach, billing inquiries, employee onboarding, campaign management, and even healthcare scheduling. 

Each action is production-tested and customizable. So if you’re deploying in Service Cloud, you can choose from actions like: 

These are plug-and-play components, no engineering tickets required. Plus, RA can help clients curate and configure action sets based on their vertical, volume, and team structure. We also offer reusable RA-built actions designed to fill in Salesforce’s gaps. 

If the built-ins aren’t enough, AgentExchange now includes vertical-specific agent templates developed by 30+ Salesforce partners and enterprise customers. Solutions are already available from AWS, Box, Google Cloud, PayPal, Strip, and more.  

Each one comes with pre-mapped Topics and Actions, so you can launch in hours. They’re also fully editable. RA can help you adapt them to your policies, tone, and workflows. This is one of the reasons the Agentforce 3 release is so exciting: it’s not just a platform. It’s an elastic ecosystem. 

How to Get Started with Agentforce 3.0 

Salesforce Agentforce 3.0 is generally available today. That includes: 

Salesforce has also introduced new Agentforce SKUs for Sales, Service, and Industry Clouds, offering per-user pricing and unlimited internal agent usage, making it easier to budget and scale without surprises.  

You can start small: a single FAQ agent, an internal ticket router, or a sales assistant. Then scale as confidence grows. Salesforce partners, like Routine Automation, are here to help you make the most of the new Salesforce 3.0 experience.   

Routine Automation isn’t just another systems integrator. We specialize in Salesforce AI, and we’ve been helping companies roll out Agentforce since version 1.0. 

What we offer: 

• Consulting workshops for use case strategy 
• Custom MCP integration and action set mapping 
• Governance and observability frameworks 
• End-to-end implementation with speed, safety, and scale 

If you’re looking for a way to connect agentic AI from Salesforce with your specific business priorities, we’re here to help.