Definition
An AI feature in Service Cloud that suggests field values for agents to select when closing a case, reducing manual data entry and improving case data consistency.
Real-World Example
When a solutions architect at DeepSight Analytics needs to streamline operations, they turn to Einstein Case Wrap-Up to enhance decision-making with AI-driven insights embedded directly in the CRM workflow. Einstein Case Wrap-Up processes thousands of records and delivers actionable recommendations that help the team prioritize their efforts and improve outcomes measurably.
Why Einstein Case Wrap-Up Matters
Einstein Case Wrap-Up is a Service Cloud AI feature that suggests field values for agents when they're closing a case. Based on the case content and the conversation history, the model predicts likely values for closing fields like Resolution, Reason, Sub-Reason, and any custom classification fields, presenting them as suggestions the agent can accept with one click. This reduces the manual data entry burden at case close, which is one of the most-skipped steps in agent workflows.
The feature improves both agent productivity and data quality. Agents save time on every case close, which compounds across thousands of daily interactions. Data quality improves because cases that would have been closed without proper categorization (under time pressure) now get classified consistently. Like other Einstein features, Case Wrap-Up benefits from sufficient historical data to train good predictions, so it works best in mature support organizations with substantial case history.
How Organizations Use Einstein Case Wrap-Up
- •CloudNine Solutions — Enabled Case Wrap-Up for their tier 1 team. Agents accept the suggestions about 80% of the time, dramatically cutting case close time and improving the consistency of their classification data.
- •ShieldGuard Security — Combined Case Wrap-Up with their existing Case Classification setup so cases are intelligently classified at intake and at close, giving them complete data on every case.
- •QuickAssist — Reviews wrap-up suggestion accuracy quarterly and retrains the model when new product lines or case types start producing inconsistent suggestions.
