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SalesforceNYSE: CRM used its Dreamforce keynote to outline an expanded artificial intelligence strategy centered on “AIforce,” a platform the company said is designed to combine enterprise data, applications, AI agents and new interfaces.
The company described AIforce as a way to connect probabilistic AI models with deterministic enterprise data, workflows, permissions and business rules. Salesforce said the approach is intended to help customers access “trapped value” contained in their existing systems and metadata while maintaining governance and security.
Salesforce emphasized that its products are designed with zero data retention, meaning customer data is not used to train other models. The company said its architecture includes four layers: Data 360 for integrating, federating and harmonizing data; applications and business semantics; Agentforce agents; and AI-powered interfaces.
Claude, Slack and Lightning interfaces
Patrick Stokes, Salesforce’s President of Applications and Marketing, demonstrated Claudeforce, an interface built with Anthropic’s Claude Cowork. Stokes said Salesforce customers with Claude Enterprise can activate a Salesforce for Claude plugin, which is currently in open beta through AppExchange.
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In the demonstration, Stokes used Claude to create a customized command-center interface that displayed sales pipeline, service activity and marketing data. The interface also allowed users to take actions, including generating and sending Slack messages to sales teams.
“At Salesforce, our product is the trust that all of you, our customers, put in us to hold your data, to hold your workflows, your business processes, your permissions, your security rules,” Stokes said.
Salesforce said AIforce capabilities will appear in multiple products, including Claudeforce for Claude Cowork users, Slackforce for Slack users and Agentforce Coworker in Lightning. The company also said it plans to provide an SDK for customers to build their own AIforce applications.
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