What is a key benefit of Actions & Recommendations for business users?

Actions & Recommendations democratizes AI by making predictions and insights accessible to business users — you don't need to be a data scientist to benefit from it.

What does Actions & Recommendations need to work effectively?

AI features like Actions & Recommendations rely on quality historical data in your Salesforce org — the more clean, consistent data available, the better the predictions.

How does the Einstein Trust Layer relate to Actions & Recommendations?

The Einstein Trust Layer provides the security, privacy, and responsible AI framework that governs how features like Actions & Recommendations access and process data.

Actions & Recommendations

AI🟡 Intermediate

Definition

Actions & Recommendations is a Lightning component that surfaces Next Best Action suggestions and Einstein recommendations directly on record pages. It displays a prioritized list of recommended actions, offers, or steps for users to take based on strategy rules and AI-driven insights configured by the administrator.

Real-World Example

At Meridian Telecom, the service console displays the Actions & Recommendations component on each Case page. When an agent opens a high-value customer's Case, the component suggests "Offer loyalty discount" and "Schedule callback with retention team" based on the customer's churn risk score and contract renewal date.

Why Actions & Recommendations Matters

Actions & Recommendations is part of Salesforce's artificial intelligence layer, which brings machine learning and predictive capabilities directly into the CRM workflow. Rather than requiring data science expertise, these features make AI accessible to everyday business users who can benefit from smarter recommendations and automated insights.

The real power of Actions & Recommendations lies in its ability to learn from your organization's historical data and surface patterns that humans might miss. Whether it is predicting which deals are most likely to close, recommending the next best action for a service agent, or automatically classifying incoming cases, AI features like this amplify the effectiveness of your entire team.

How Organizations Use Actions & Recommendations

•Initech Corp — Enabled Actions & Recommendations to analyze two years of opportunity data and identify the behavioral patterns that predict deal closure. Sales reps now see AI-generated scores on every opportunity, helping them focus energy on the deals with the highest win probability.
•Umbrella Co — Deployed Actions & Recommendations in their service center to automatically route incoming cases to the most qualified agent based on case topic, language, and agent expertise. First-contact resolution improved because cases consistently land with someone who can actually help.
•Wayne Enterprises — Used Actions & Recommendations to surface proactive recommendations for account managers. When the AI detects a change in a customer's engagement pattern or identifies a cross-sell opportunity based on similar accounts, it pushes a suggestion directly into the rep's workflow.