Salesforce has announced Einstein GPT for Flow, its automation suite.
The addition of generative AI promises to allow businesses to create workflows from text prompts, advancing the more conventional no-code, drag-and-drop automation building.
Effectively, this removes manual, step-by-step processes, lowering the barriers to adoption for less technical users.
For instance, with Einstein GPT for Flow, a customer can simply type: "Send an email to a group when we secure a new customer." The solution then creates it automatically.
After, a developer can tweak, test, and deploy.
Of course, some may scratch their heads and ask: how does it work with Salesforce records and metadata to correctly configure such flows?
It does so through Data Cloud. Data Cloud allows users to unify various data sources.
Indeed, the solution enables businesses to import objects from a Salesforce CRM, commerce, and marketing tools. It also pulls from the website, mobile app, and other external sources with its Ingestion API.
With Flow embedded into Data Cloud, Salesforce hopes to help its clients make every experience more "interconnected and personalized."
John Kucera, SVP of Automation at Salesforce, builds on this point. He stated:
By powering Flow with Einstein and GPT and Data Cloud, we’re not only enhancing usability but also ensuring our customers have access to the most advanced tools to achieve even more productivity, efficiency, and growth.
There are several examples of how Flow already drives up such business efficiency.
As an example, brands may build a workflow designed to offer in-store discounts to customers at the ideal moment.
Another involves dynamic pricing capabilities to automatically adjust the prices of products based on real-time demand and supply.
