Agent care is not replacing salespeople; it’s making them better. Sales force agent player: Agent Force helps sales teams close deals faster by reducing busywork with autonomous digital support. For example, it has saved sales forces over fifty-five million hours through automated call and conversation summaries.
Why it matters: As the first users, sales forces, meaning sales teams, are not just benefiting from the technology; they are also testing it to make sure it works well for real-world selling and is ready to deliver value for customers.
Driving the news: sales forces and the rollout of AgentForce, led by the sales force.
- 800,000+ leads and contacts added to sales calendars through AI.
- 440,000+ sales activities logged monthly without human intervention.
- 75,000+ AI-generated summaries to accelerate sales planning and prospecting.
- 43,000+ personalized emails generated through their targeted outreach.
Go deeper: Today, sales reps spend only 30% of their time actually selling. The rest goes to tasks like research, data entry, cold calling, and scheduling. Agent Force changes this by using autonomous AI agents to free up reps so they can focus on selling and building relationships. Here’s how Agent Force helps:
- Sales department: Agentforce fits into a rep’s daily routine by drafting personalized emails, summarizing calls, and automatically logging activities. Unlike standard tools, it uses reasoning to fill in new information, providing sales teams with insights that help them achieve better results.
- Sales coaching column Agent Force provides sellers with personalized, on-demand coaching. It guides them through practice scenarios and provides real-time feedback by using CRM data. The coaching is tailored to each rep’s pipeline, products, and customers. This means the advice is based on real sales situations, not just generic templates. Whether reps are refining their pitch, handling objections, or negotiating deals
What they are saying.
- “At Salesforce, we power our business on our own technology. Our trinity of Agentforce, Data Cloud, and Customer 360 provides sellers with real-time AI-driven insights that create a competitive edge for our teams and our customers. Our sellers are automating routine work, receiving live coaching, and deepening customer relationships with greater precision with Agentforce.” Conor Marsden, President of Sales at Salesforce.
- “AgentForce has truly become my partner in sales. From prepping talk notes to sending personalized follow-ups, it helps me stay focused and organized. What really sets it apart is the real-time coaching, giving me context-driven feedback to improve in the moment. AgentForce is like having an assistant and a coach wrapped into one, enabling me to focus on what matters most and make a real impact for my customers.” Haley Gault, Account Executive at Salesforce.
The Agent Force, Data Cloud, and Customer 360 apps work together to give sellers real-time, AI-driven insights. This creates a competitive edge for both our teams and our customers. Conner Marsden, President of Sales at Salesforce.
What’s new?
Making it faster to get AI into production:
- Expanding the agent scanners column. Automotive discovery now includes NCP servers and new platforms like Amazon Bedrock, Microsoft Foundry, and Vultr. This speeds up visibility and registration for AI assets using secure OAuth authentication.
- Visual authoring panels, a new drag-and-drop interface, and new soft guides to help map workflows and human checkpoints. This makes it easier for developers to find the right agents and set up their products.
- MCP bridge: make existing APIs ready for agents by enabling an MCP at scale. You can also add enterprise-level security and rate limiting without changing any code.
- Informatica-Hosted MCPs: bring Informatica’s data quality and governance MCP servers directly into your workflows. These are automatically available in the agent registry, so every agent interaction starts with trusted, well-governed data.
Bringing Rigor And Oversight To Agent Interactions And Multi-Agent Orchestration
Agent script for agent broker: Apply the same guide that covers the course for the agent first to the agent broker. You can set fixed ends of rules while elements manage the reason in between. This combination of role-based and trusted workflows yields more consistent, reliable results.
