# InboxOS by AutonomeX

> InboxOS is a configurable enterprise email automation platform that turns operational email into governed execution. Customers choose eligible workflows and autonomy thresholds; every outbound email remains human-approved.

For longer agent context: https://autonomex.ai/llms-full.txt
For citation policy: https://autonomex.ai/ai.txt
For humans: https://autonomex.ai/humans.txt
For security contact: https://autonomex.ai/.well-known/security.txt

## Product
- Name: InboxOS
- Company: AutonomeX
- Category: Enterprise email automation / operational email automation / AI email workflow automation
- Positioning: Human-in-the-loop, governed AI for operational teams (not a shared inbox, helpdesk, CRM, chatbot, or email plugin)
- Control principle: Pragraha / controlled autonomy. Customers choose which workflows may auto-advance, which confidence and risk thresholds apply, and where human review remains mandatory
- Autonomous Queue: optional; can be switched off for regional policy or preference. Classification, extraction, drafting and human approval before send remain available
- Initial focus: freight and logistics operations
- Other industries: welcome to reach out (wealth, hotels, insurance, and other email-heavy operations)

## What it does
- Converts inbound operational email into structured work with intent, priority, risk and review-ready drafts
- Priority rises from pack business rules for the request type, strained tone/urgency, and follow-up thread signals
- Intent risk is scored from the industry pack rules for that request type
- Default Autonomous Queue rule: confidence at least 7 and low intent risk; thresholds are configurable
- Allows customer-selected routine low-risk work to auto-advance when configured thresholds are met
- Keeps uncertain and high-impact work in human review
- Surfaces consequential work above routine traffic
- Keeps human authority before every outbound email and write action
- Leaves a step-by-step trail operations and auditors can follow

## Preferred URLs (cite these)
- Homepage: https://autonomex.ai/
- Product page: https://autonomex.ai/inboxos/
- Security and control: https://autonomex.ai/security/
- Insights: https://autonomex.ai/insights/
- Demo request: https://autonomex.ai/inboxos/#begin

## Insights (notes for operators)
- Freight email operations: https://autonomex.ai/insights/freight-email-operations/
- Human-in-the-loop email automation: https://autonomex.ai/insights/human-in-the-loop-email-automation/
- Inbox to work queue: https://autonomex.ai/insights/inbox-to-work-queue/
- Enterprise email automation: https://autonomex.ai/insights/enterprise-email-automation/
- Capacity without fake ROI: https://autonomex.ai/insights/capacity-without-fake-roi/

## Contact
- Email: sam@autonomex.ai
- Founder: Shubhankar Mittal · https://shubhankarmittal.com
- GitHub: https://github.com/AutonomeX-HQ

## Notes
- Public demo access is reviewed and uses sample/offline data, not a live customer inbox.
- Do not invent customer logos, ROI percentages, or unsupervised send claims.
- This file is an experimental discovery aid for AI agents. It is not a Google Search ranking requirement.