Einstein for Service and Agentforce for inbound case management — covering beginners who use classification, suggested replies, and article recommendations, intermediate agents who auto-route and draft grounded replies, and advanced users who configure classification, deploy AI agents, and analyse impact. Mapped directly to the department's Inbound Case Management process and supporting Omnichannel Customer Interaction, and scoped to complement the customer-facing WhatsApp self-service already in place by focusing on internal case triage and agent assist.
The core use cases in this guide cover inbound case handling: letting Einstein auto-classify an incoming case, using a suggested reply to answer a case, and getting the recommended knowledge article; then auto-routing misrouted emails to the right department, drafting a reply grounded in knowledge and templates, and summarising a case at wrap-up; and finally configuring case classification fields and rules, deploying an Agentforce agent for routine requests, analysing case deflection and handle-time impact, and reporting case automation impact to leadership.
Different use cases for the tool in work fields.
Send each case to the correct queue automatically, removing manual redirection.
Start from a case Einstein has already classified instead of sorting it by hand.
Send an approved AI suggestion drawn from knowledge instead of drafting from scratch.
Answer accurately using the article Einstein recommends, without searching.
Get a complete, on-brand draft grounded in the team's knowledge to review and send.
Generate a concise case-and-resolution summary so the record is complete.
Tune which fields Einstein predicts and the data it learns from for the team's case types.
Resolve common requests end to end with a scoped AI agent that escalates the rest.
See where the AI reduces effort and where classification or replies need tuning.
Show faster, more consistent service inside Salesforce with automation metrics.
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