There is a version of this story that sounds like a standard corporate press release: large software company listens to customers, adjusts product accordingly. That version undersells what Salesforce is actually doing with Agentforce. When Jayesh Govindarajan, the company’s executive vice president of AI, describes the challenge as a balancing act between shipping quickly and building what enterprises actually need, he’s really describing a land grab. The enterprise AI agent

Salesforce (CRM) stock climbed Friday after the enterprise software maker said it will disclose more granular data about revenue from artificial intelligence products and services in quarterly earnings. "Salesforce is updating its revenue disclosures to two primary categories: Agentforce Apps and Data 360, Platform & Other," the company said in a presentation on its website. "To ensure year-over-year comparability, the company is providing recast disaggregated revenue for fis

Salesforce CRM is changing how it presents its business, and it's very clearlyleaning into the AI narrative while doing it. Starting in FY27, the company will reorganize its revenue into two main buckets that better reflect its “Agentic Enterprise” strategy. One side will be “Agentforce Apps,” which includes products like Sales Cloud, Slack, MuleSoft, and Tableau. The other will be “Data 360, Platform & Other,” grouping together the data and infrastructure layer that supports

Find your next quality investment with Simply Wall St's easy and powerful screener, trusted by over 7 million individual investors worldwide. Salesforce (NYSE:CRM) is restructuring its organization, including workforce reductions and leadership changes, while launching a program to hire 1,000 new graduates into AI focused roles. The company is expanding its AI ecosystem bets, including an early investment in Anthropic ahead of a potential $1 trillion IPO. Salesforce is deepen

Salesforce has introduced an open beta that allows developers to build native Salesforce applications with React, a move aimed at giving teams more flexibility in how they create applications on the company’s platform. The new capability, called Salesforce Multi-Framework, is a framework-agnostic runtime on the Agentforce 360 Platform. Salesforce said the beta initially supports React, with additional frontend frameworks planned. The beta is available for scratch orgs and san

Salesforce has introduced two complementary updates aimed at embedding AI agents more deeply into customer experience delivery and the employee workflows that support it. The announcements on Agentforce Operations and new capabilities connecting Slack with Salesforce data and processes indicate a continued shift toward what the vendor calls the “agentic enterprise,” where AI agents execute work across front- and back-office environments with minimal human intervention....

Salesforce introduced Agentforce Operations, a new solution designed to transform outdated, manual back-office processes into streamlined tasks managed by artificial intelligence (AI). Many organizations deliver fast, personalized experiences for customers and employees, only to hit delays when those modern front-end interfaces connect to legacy back-office systems. Employees frequently switch between platforms, manually transfer data, and search for updates in email. These d

Artificial intelligence continues to advance at a dizzying clip, forcing enterprises to develop and release new products quicker than ever or risk becoming irrelevant to a faster-moving competitor. Salesforce believes it has found a strategy that allows it to keep up even if it isn’t clear where AI is headed next. The customer management software giant is crowdsourcing its AI roadmap in real time. https://techcrunch.com/2026/04/30/salesforce-is-crowdsourcing-its-ai-roadmap-wi

Salesforce Inc. today launched Agentforce Operations, an artificial intelligence system designed to extend specialized AI agents into the back office to automate manual work. Workflow automation tools have existed for a long time — not because office workers are lazy, but because it’s more efficient to have a task handled by a machine. The problem is that it typically takes an engineer or information technology worker to develop, configure and maintain that automation. That

Enterprises have been fixated on AI agents for front office workflows, but there’s still a lot of operational drag behind the scenes. Many back office tasks, such as returns processing, inventory reconciliation, and supply chain oversight, are still performed manually, leading to inefficiencies. https://www.cio.com/article/4164708/salesforce-expands-beyond-the-front-office-with-agentforce-operations.html