Salesforce Announces General Availability and Pricing for GPT-Powered Features for Sales and Service

Salesforce announced general availability and pricing for Service GPT, Sales GPT, and the Einstein GPT Trust Layer, helping any organization drive productivity and personalize customer interactions with generative AI designed for enterprise security standards.

Users can leverage Service GPT to auto-generate personalized replies and automatically summarize customer interactions for future reference, while Sales GPT users benefit from AI-generated, personalized customer emails based on contextual customer data stored in Salesforce. The Einstein GPT Trust Layer prevents customer data from being stored outside Salesforce, meaning prompts and responses are not stored by third-party LLM providers, or used to train their models.

Salesforce AI solution: Salesforce is embedding Einstein GPT’s generative AI capabilities across all Salesforce products. And through the Einstein GPT Trust Layer, which provides enterprise-ready data security and compliance safeguards, organizations are empowered to increase productivity and engage with customers in personalized ways without sacrificing trust.

Generally available Service GPT features include: 

• Service Replies: Service GPT customers can auto-generate personalized responses grounded in relevant, real-time data sources, helping service agents resolve customer issues faster.
• Work Summaries: Users can create wrap-up summaries of service cases and customer engagements based on case data and customer history.

Generally available Sales GPT features include: 

• Sales Emails: Reps can auto-generate personalized emails with CRM context, either from inside Sales Cloud or through Gmail and Outlook, with just a single click. This reduces a time-consuming, yet critical step in the sales process.                                                                                                                                     

Generally available features in the Einstein GPT Trust Layer include:

• Zero Data Retention: Enterprises are sometimes hesitant to explore generative AI due to a lack of control over where data is retained when it’s sent to an LLM. The Einstein GPT Trust Layer prevents customer data from being stored outside Salesforce, meaning prompts and responses are not stored by third-party LLM providers, or used to train their model.
• Encrypted Communications: Encrypting communications over TLS safeguards prompts sent to an LLM, along with the responses sent back to Salesforce.
• Data Access Checks: When a prompt uses customer data to generate a more tailored response, businesses need to ensure the only data added to the prompt is data the end user is allowed to access. Data Access Checks govern prompts by restricting data grounding to only the data allowed by the user’s permissions.
• Feedback Store: For successful adoption, customers need feedback loops that enable past success to guide future outcomes. The Einstein GPT Trust Layer collects feedback data – including if generated responses were helpful or not, and if, for example, a service agent ultimately accepted, rejected, or modified that response – to improve the quality of prompts over time.
• Audit Trail: Staying compliant while using AI is a key requirement of many enterprises. The Einstein GPT Trust Layer’s audit trail simplifies this by securely logging all prompts, outputs, interactions, and feedback data so teams can benefit from generative AI while meeting their compliance needs.