Dive Brief:
- Salesforce is adding a set of low-code tools to allow customers to personalize its generative AI assistant, Einstein Copilot, the company said at its annual conference Wednesday.
- The Einstein 1 Studio low-code tools include a Copilot Builder, Prompt Builder and Model Builder. The latter two are currently generally available while Copilot Builder is in beta. Customers using the Model Builder can choose to work with LLMs from Salesforce and its partners, which include Anthropic, Cohere, Databricks and OpenAI, or import their own.
- In addition to tweaking the CRM copilot, developers can use the studio to customize AI workflows across Salesforce’s platforms and apps. The vendor is also adding training courses that cover the new capabilities on its free learning platform.
Dive Insight:
Salesforce is expanding what customers can do with Einstein Copilot just a week after its assistant’s global release.
As the flagship platform of its AI efforts, Salesforce is looking toward Einstein to help spur revenue growth as it aims to bridge the data divide for enterprise customers.
“We want to say goodbye to all of these crazy experiences that you’re having with these bots that don’t know what they’re doing because they have … data that’s not deeply integrated,” CEO Marc Benioff said during the company’s Q4 2024 earnings call last week.
With the launch of its low-code tools, the software vendor joins a growing group of providers leaning on customization capabilities to entice enterprise buyers.
OpenAI kicked off the trend with the January launch of its GPT Store, a marketplace of customizable versions of ChatGPT that can carry out specific business or work-related tasks. Microsoft quickly followed suit later that month with plans to bring customization capabilities for Copilot, called Copilot GPTs.
Like Salesforce, Microsoft also offers a low-code solution for building customized versions of its AI assistant via Copilot Studio.
As more vendors offer customization, the low-code focus coupled with training options could help smooth the disconnect between investments in AI and employee proficiency with the technology, which has threatened AI ambitions.
“While many of these copilot user interfaces might look similar, they’re not created equal,” Clara Shih, CEO of Salesforce AI, said in a press conference Monday. “It’s what we don’t see, it’s the technology underneath … that truly sets copilots apart from one another.”
Salesforce’s Einstein 1 Studio is integrated with its Data Cloud, a fixture in one-quarter of the company’s deals of $1 million or more.
