Use Case
Email Triage AI Agent Workflow
Design an inbox-routing workflow that classifies, routes, drafts, and escalates email without pretending every thread can be answered safely by an autonomous agent.
Typical problems this workflow solves
- A shared inbox where routing depends on one experienced operator reading every message first
- Slow first-pass handling because ownership, urgency, and sender type are not standardized
- Low-risk emails that could be drafted quickly still wait behind complex exceptions
Workflow steps
- Receive inbound email
- Identify sender type, topic, and urgency
- Classify into queue or workflow path
- Draft low-risk response or forwarding note
- Escalate exceptions, sensitive cases, or low-confidence emails
Required inputs
- Mailbox categories
- Routing rules
- Approved reply patterns
- Sensitive-topic escalation rules
- Representative inbox samples from the real workflow
Outputs and delivery artifacts
- Queue taxonomy and routing rules
- Intent labels and urgency handling logic
- Low-risk draft reply patterns
- Escalation triggers and review notes
When the workflow must escalate
- Legal, finance, HR, complaint, or reputation-sensitive topics
- Threads with unclear ownership or conflicting context
- Any case where confidence is weak or a commitment could be irreversible
Boundaries
- Do not send irreversible commitments automatically
- Do not auto-handle legal, finance, HR, or complaint-sensitive threads
- Do not silently guess the correct queue when confidence is weak
Use when
- Shared inboxes have recurring routing patterns and queue ownership can be made explicit
- The team wants faster first-pass handling without removing review for sensitive threads
Do not use when
- Almost every email requires bespoke senior judgment
- The team has no stable routing categories or no approved reply patterns
- The real need is live chat operations rather than email workflow triage
FAQ
FAQ
Does this replace an entire support or ops inbox team?
No. It reduces triage load, improves routing consistency, and helps draft responses, but it should not erase human review where risk remains.
What does the client team need before delivery starts?
At minimum: queue categories, example inbox traffic, approved handling rules, and a clear definition of what must always go to a human.