Salesforce announced a new set of low-code tools to enable its customers to easily and quickly incorporate artificial intelligence into their customer relationship management (CRM) applications.
The new platform, Einstein 1 Studio, is based on Einstein Copilot, which is the company’s generative AI solution. Studio includes three main components: Copilot Builder, Prompt Builder and Model Builder.
Copilot Builder allows users to create custom AI actions for different tasks. It provides access to use familiar tools such as Apex, Flow and Mulesoft APIs so that AI actions can be completed within a workflow. Custom actions can be triggered in any Salesforce application or external system.
Prompt Builder can be used to create AI prompts that can be reused across different experiences. For example, a user can create a button that allows a contact center agent to view all of a customer’s escalated cases in just one click.
Model Builder provides the ability to create or import AI models. Customers can either use its low-code interface to build their own AI models trained on their cloud data or integrate with existing models from Amazon, Anthropic, Azure OpenAI, Cohere, Databricks, Google Cloud and OpenAI.
Einstein 1 Studio also introduces the Einstein Trust Layer, which is a collection of features to enforce security on generative artificial intelligence, such as data masking and audit trails.
“Customers have always loved how easy it is to customize Salesforce. Our new Einstein 1 Studio makes it easy for administrators and developers to build and customize Einstein Copilot and embed AI applications into workflows within Salesforce, tailored to the specific requirements of their company and industry,” said Clara Shih, CEO of Salesforce AI. . “Built on our Einstein 1 platform and unified by metadata that securely connects and unlocks data from across the enterprise, Einstein 1 Studio’s low-code tools democratize the development of AI applications, unleashing a new wave of innovation that will transform workflow and enhance human capabilities across teams and functions .”