ReplyAgent — AI-assisted Email Copilot

AI workflow · Email · Human approval · White-label

ReplyAgent — email copilot

A white-label application for classifying incoming email, generating suggested replies and inserting the draft into an operator-controlled workflow. The user reviews, edits and sends: the AI assists the process rather than sending blindly.

Agent pipeline
Agent pipeline
Agent configuration
Agent configuration
Email list
Email list
Suggested reply
Suggested reply

Workflow

From inbox to an operator-approved draft

01

Connect the mailbox

The application reads incoming messages through IMAP/Gmail-compatible access and presents them in a controlled interface.

02

Run the AI pipeline

Configurable agents and prompts classify the request and generate a proposed answer using the customer's rules, tone and policy.

03

Review and send

The operator inserts the suggestion, edits it where necessary and explicitly sends the final response.

Technical characteristics

A configurable application, not a chat box

  • • Email classification for recurring request types such as returns, tracking, invoices and appointments.
  • • Agent/prompt pipeline configurable around company policy and tone.
  • • Human approval before sending.
  • • White-label positioning for agencies or internal teams.
  • • AI token-consumption tracking to measure and optimize usage.
  • • Extendable with order-management or other business-system connectors.

Why it belongs in this portfolio

AI integrated into a real application workflow

ReplyAgent is a useful example of how I approach AI features: the model is one component inside a normal application architecture with mailbox access, state, user actions, policy, costs and integration points. The objective is not to replace the application with a prompt, but to improve an existing operational process.

Mailbox integration
AI pipeline
Human approval
Usage tracking
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