Case summary

Support agents and managers often struggle with complex cases and information overload. Lengthy records slow down context retrieval and hinder trend analysis. An AI-driven case summary automatically generates a concise overview to accelerate comprehension, improve handoffs, and enhance trend analysis.

Pain points

Support agents and managers face challenges with case complexity and information overload:
• Cases contain numerous email threads, comments, and detailed descriptions.
• Agents need to quickly grasp the case context before responding.
• During handoffs or escalations, reviewing the entire case history is slow and inefficient.
• Managers lack a high-level view of case patterns and trends.

Benefits

An AI-driven case summary provides these benefits:
• Automatically generates a concise summary based on the case subject, description, WeCom and email conversations, comments, and other content.
• Helps support agents quickly understand the case context and its current status at a glance.
• Streamlines agent-to-agent or shift handoffs.
• Provides managers with a clearer view of patterns and trends across cases.
• Reduces the time spent reviewing the complete case history.
• Standardizes case documentation for easier compliance audits and data analysis.

How to use

Template type	Object reference	Data source
Record Summary	Case	CRM, Flow

Create a new template based on the one shown here and add the data you need.
For a Flex-type template, you can deploy it to a Lightning page or a Flow.

Prompt template
You are a personal assistant. Your task is to provide an executive summary of a case for a manager. The following case content is a conversation between a support agent and an end user, where the agent is helping the user resolve one or more issues. The case text includes records from various objects, such as CaseComment, Email, LiveChatTranscript, MessagingSession, VoiceCall, and ConversationEntry.
Summarize the following case data: Flow: case_summaries__GetCaseSummaryInfo