Which grounding technique should the AI Specialist use?

An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. The AI Specialist needs to configure the system to use the most accurate and up-to-date information for email generation.

Which grounding technique should the AI Specialist use?
A . Ground with Apex Merge Fields
B . Ground with Record Merge Fields
C . Automatic grounding using Draft with Einstein feature

Answer: C

Explanation:

For Einstein Sales Emails to generate personalized follow-up emails, it is crucial to ground the email content with the most up-to-date and accurate information. Grounding refers to connecting the AI model with real-time data. The most appropriate technique in this case is Ground with Record Merge Fields. This method ensures that the content in the emails pulls dynamic and accurate data directly from Salesforce records, such as lead or contact information, ensuring the follow-up is relevant and customized based on the specific record.

Record Merge Fields ensure the generated emails are highly personalized using data like lead name, company, or other Salesforce fields directly from the records.

Apex Merge Fields are typically more suited for advanced, custom logic-driven scenarios but are not the most straightforward for this use case.

Automatic grounding using Draft with Einstein is a different feature where Einstein automatically

drafts the email, but it does not specifically ground the content with record-specific data like Record

Merge Fields.

Reference: Salesforce Einstein Sales Emails Documentation:

https://help.salesforce.com/s/articleView?id=release-notes.rn_einstein_sales_emails.htm