Email in
Customer and internal messages arrive through normal business addresses.
AI operations layer
Logamail can sit above selected inboxes and prepare the first operational pass: identify intent, extract tasks, match people, draft replies, and route technical requests toward Codex or Claude Code for reviewable execution.
The agent treats the email as a high-priority technical issue and prepares a clear next step.
Priority, deadline, affected area, customer context, and required action are extracted into one work item.
Payment owner, support lead, and account contact are suggested from responsibility and relationship context.
Codex or Claude Code receives a focused investigation brief while people retain approval over changes.
What the AI prepares
Classify a message as a sales request, support issue, bug report, meeting request, contract question, billing matter, or internal follow-up.
Extract owners, deadlines, meeting topics, participants, preferred times, and follow-up windows into drafts that a person can approve.
Suggest the right person or group using role, department, customer owner, project history, product area, and current responsibility.
Prepare reply drafts, issue descriptions, engineering briefs, and code-agent prompts while keeping sensitive actions behind human approval.
Positioning
The product promise is narrow and useful: selected business messages become structured work with owners, dates, context, and review points. The inbox remains the input, but the output is operational.
Customer and internal messages arrive through normal business addresses.
AI turns the message into task, calendar, route, reply, or investigation drafts.
Sensitive replies, account changes, and technical execution remain reviewable.