Salesforce launches Einstein Copilot for general availability

“Einstein has always been predicated on this notion that we’re going to deploy AI in an out-of-the-box way for use cases we know our customers are looking to us to solve, but always provide a customization option,” she said.

Greater ease of use

High-level users can leverage Copilot Builder in Einstein 1 Studio to build their own actions, but the beauty of the preprogrammed actions, Parulekar said, is that users can leverage them without having to train or fine-tune a large language model (LLM). For CRM use cases such as writing an email or providing forecast guidance that draws on well-defined customer data and workflows, users can simply enable those actions and go, she said.

“For our more sophisticated customers that might have data scientists, and maybe have built their own LLM [and] have the money and resources to train on their own corpus of data, they can absolutely do that,” Parulekar said. “But that’s a small fraction of our customer base. It’s all about flexibility and making sure that AI is not cost-prohibitive for our customers.”