IBL News | New York
Salesforce will release Agentforce 2dx in April, a significant update to its digital labor platform. This platform uses autonomous AI agents to work across enterprise data systems and user interfaces without constant human supervision.
Agentforce 2dx has a new set of low-code and pro-code tools for Salesforce developers, paired with advanced analytics to help teams monitor, debug, and optimize agent performance with real-time data and guidance.
To experiment with these tools, Salesforce now offers the Agentforce Developer Edition, a free environment where developers can prototype agents using Agentforce and also explore the capabilities of Data Cloud, Salesforce’s data engine.
Salesforce announced AgentExchange, a marketplace and community with 200 initial partners built into Salesforce.
Salesforce said customers like The Adecco Group, Engine, OpenTable, Oregon Humane Society, Precina, and Vivint have already adopted Agentforce.
AgentExchange includes a library of ready-to-use templates and actions while it also enables partners to list their components for sale.
“Unlike traditional AI chatbots, which require manual prompts or rigid programming, agentic AI dynamically responds to live data and evolving business needs by embedding AI seamlessly into apps, workflows, and processes,” said Adam Evans, EVP and GM of Salesforce’s AI Platform.
For example, with agentic reasoning, customers can trigger an agent when an ERP order is created or kick off a loan application process automation.
Dion Hinchcliffe, VP and Practice Lead, CIO Insights, Futurum Group said, “89% of CIOs identify AI and automation as critical to their digital strategy in 2025, yet 60% of AI projects fail to deliver clear ROI. Agentforce bridges this gap with pre-built workflows that deliver measurable impact fast. While DIY agent-based AI projects can take up to a year to implement, Agentforce customers go live in just 4-6 weeks, realizing value 3-4 times faster. As AI agents become embedded across business operations, from engineering to go-to-market, they will fundamentally reshape how teams engage with customers and partners. Instead of siloed interactions across CRM, support platforms, and marketing tools, AI agents can coordinate responses, escalate issues, and optimize workflows in real-time. Companies that harness this shift — especially in their partner ecosystems — will gain a competitive edge in both performance and market reach.”
