Almost all Salesforce innovations this year were connected with AI. Finally, on June 12, Salesforce announced AI Cloud that gathers GPT-powered tools in one suite of capabilities optimized for delivering trusted, open, and real-time generative experiences across all applications and workflows.
What is AI Cloud?
According to Salesforce, AI Cloud “is built for CRM to supercharge customer experiences and company productivity by bringing together AI, data, analytics, and automation to provide trusted, open, real-time generative AI that is enterprise ready”.
AI Cloud is built on the Einstein GPT Trust Layer that helps protect sensitive customer data from large-language models. This separation of data from the LLM helps customers maintain data governance controls while still leveraging the potential of generative AI.
Also, AI Cloud is designed on an open platform. It means that Salesforce customers can safely use any large language model, including 3d-party models.
What’s inside AI Cloud?
Salesforce is bringing the power of generative AI to every product with Sales GPT, Service GPT, Marketing GPT, Commerce GPT, Slack GPT, Tableau GPT, Flow GPT, and Apex GPT. These new tools will help businesses of all sizes automate tasks, improve customer experiences, and make better decisions.
Sales GPT. Use cases: sellers can create personalized emails that are tailored to their customer’s needs in a flash. Personalization is informed by CRM data, freeing up sales reps to focus on building relationships and driving revenue.
Source: salesforce.com
Service GPT. Use cases: service teams can use generative AI capabilities to automatically create service briefings, case summaries, and work orders based on trusted case data and customer history. It saves teams time so they can focus on delivering service experiences.
Marketing GPT. Use cases: marketers can quickly generate audience segments by leveraging natural language prompts and AI-driven recommendations for better targeting. It ensures that the right messages and offers reach the right people at the right time.
Commerce GPT. Use cases: companies can automatically customize product descriptions to each buyer based on their customer data and meet their commerce goals with GPT-guided recommendations.
Source: salesforce.com
Slack GPT. Use cases: users can build no-code workflows that embed AI actions with simple prompts at each step. AI automation deploymnet will become easier for anyone.
Tableau GPT. Use cases: Tableau GPT enables sales managers to generate visualizations based on natural language prompts. For instance, these visualizations can display real-time progress against the quota, along with recommendations for helping meet goals.
Flow GPT. Use cases: Flow GPT users can create workflows using natural language prompts. For example, these workflows can notify a sales rep when a lead is converted to an opportunity.
Source: salesforce.com
Apex GPT. Use cases: developers can code faster by using Apex GPT to scan for code vulnerabilities and suggest inline code – right from the Salesforce integrated development environment.
Availability
As of June 15, the AI Cloud Starter pack is available for purchase for $360,000 annually. The pack includes all the necessary tools—Data Cloud, MuleSoft automation, Einstein, Tableau Analytics, Slack, CRM, and a free AI-readiness assessment from Salesforce Professional Services.
Here is a breakdown of when each feature will be available:
- The Einstein GPT Trust Layer will be generally available in June 2023.
- Service GPT is currently in pilot and will be generally available in June 2023.
- Sales GPT is currently in pilot and will be generally available in July 2023.
- Marketing GPT will be in pilot in June 2023 and generally available in February 2024.
- Commerce GPT is currently in pilot and will be generally available in July 2023.
- Apex GPT will be in pilot in June 2023.
- Flow GPT will be in pilot in October 2023.
- Slack GPT is currently in beta and will be generally available later this year.
- Tableau GPT will be in pilot in November 2023.
