Salesforce has introduced new features in its Agent Fabric platform aimed at helping sales and customer service leaders manage AI agents more effectively. The key addition, Agent Evals, continuously evaluates how well AI agents perform and tracks the costs they generate across different platforms.
This update is important because many organizations face challenges when scaling AI-powered tools. Without ongoing performance checks, AI agents can run into failures or produce unexpected expenses. These issues can harm customer experiences and increase costs, making it hard to trust AI systems in day-to-day operations.
Agent Evals works by monitoring AI agents in real-time to catch costly or faulty behavior early. By doing this, it automatically helps stop runaway expenses and service disruptions before they affect customers. This allows sales and customer service teams to deploy AI agents with greater confidence, knowing the system is actively controlling both performance and budget.
For sales and customer service teams, this means they can more safely use AI agents to handle customer interactions, freeing up human agents for more complex or high-touch tasks. Small businesses and larger organizations alike stand to benefit from reduced risk and better cost management while adopting AI solutions.
Looking ahead, teams should watch how Salesforce continues to expand the capabilities of Agent Fabric. Enhancements that boost transparency, automation, and control will be especially valuable as AI agents become more common in sales and customer service.
Overall, Salesforce’s Agent Fabric expansion addresses a critical need for responsible AI deployment. By helping prevent costly failures and keeping a close eye on AI agent performance, it supports smoother, more scalable AI adoption in customer-facing roles.