Salesforce Launches Mission Control for AI Agents – Are You Flying Blind?

Salesforce has launched a new platform called Agentforce, designed to manage AI agents across businesses. This “mission control” system helps companies monitor and direct their AI assistants, much like how flight controllers track planes. The platform aims to solve a common problem: many businesses can’t see what their AI agents are doing or how well they’re performing.

Agentforce includes two main components. First, the Builder tool lets companies create custom AI agents with specific business rules and connect them to trusted company data. Second, the Command Center provides a dashboard where managers can watch all AI activity in real time. According to recent data, AI agent usage has increased by 233% in six months, showing the growing need for such management tools.

One of the most valuable features is action-level logging, which records exactly what each AI agent did and why. This solves the “black box” problem where AI decisions previously couldn’t be explained. Managers can now examine conversations, group similar interactions, and identify where agents might be failing or getting confused.

Agentforce’s action-level logging transforms mysterious AI operations into transparent, explainable processes that managers can easily monitor and improve.

The platform also measures how helpful each agent is during conversations. This quality scoring helps companies spot when agents misunderstand requests or take inefficient paths to solutions. Agentforce even tracks how many resources (or “credits”) each agent uses, helping businesses understand the costs. The system provides clear KPIs to measure success rates and time-to-resolution metrics for each AI agent deployment.

Salesforce built Agentforce with open standards, making it compatible with many business tools. Over 30 partners including AWS, Google Cloud, IBM, and PayPal have joined to offer services that agents can use. The system also allows agents to work together safely when solving complex problems. With 92% of leaders planning to increase AI investments over the next three years, platforms that simplify agent deployment are becoming increasingly essential.

Companies are already using Agentforce in different ways. Project managers use agents to analyze data and identify risks. Customer service teams deploy agents to review feedback and suggest ways to keep customers happy. Operations teams use agents to track progress across departments. Finance departments employ agents to help with reporting, risk assessment, and compliance questions.

With Agentforce, Salesforce is betting that AI agents need supervision just like human employees do.