OprivoTech

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.

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Incoming email

Can you send setup instructions for adding a teammate to our workspace?

Email

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Classification

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Context

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Decision

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Action

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AI analysis
Source
AI analysis
Confidence
Decision

Result

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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.

Slow first response
Inconsistent routing
Repeated replies
Sensitive cases missed

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.

Approved response library
Sender verification
Sensitive-topic rules
Confidence threshold
Human approval

04

Expected inbox impact

Teams spend less time sorting mail and more time resolving exceptions.

Faster triage
Consistent routing
Reusable approved replies
Clear ownership
Better response context
Safer escalation

Connect the email agent to your workflow

Adapt mailboxes, categories, response rules, CRM, help desk, Slack, or Teams.