Interactive case study
AI Email Agent
Triage shared inboxes and draft consistent replies with human control.
See how an AI email workflow classifies messages, retrieves approved context, drafts a reply, and escalates sensitive cases.
Interactive case study
Process an incoming email
Choose an email profile and follow classification to action.
Incoming email
Can you send setup instructions for adding a teammate to our workspace?
Waiting
Waiting
Waiting
Waiting
Waiting
- Source
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- AI analysis
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- Confidence
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- Decision
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Result
Waiting
Illustrative demo only - no real customer data is used.
01
Shared inboxes become queues with unclear ownership.
Important requests get buried while teams repeatedly sort and answer routine messages.
02
Controlled inbox automation
AI assists with classification and drafting while rules control sending and escalation.
Receive
Capture sender, thread, attachments, and mailbox context.
Classify
Identify intent, urgency, sentiment, and risk.
Retrieve context
Use approved CRM and knowledge sources.
Decide
Choose draft, auto-response, assignment, or escalation.
Act
Update the thread and notify the responsible team.
03
Sending remains policy-driven
Sensitive topics, low confidence, VIP senders, and financial requests can always require review.
04
Expected inbox impact
Teams spend less time sorting mail and more time resolving exceptions.
Connect the email agent to your workflow
Adapt mailboxes, categories, response rules, CRM, help desk, Slack, or Teams.