> For the complete documentation index, see [llms.txt](https://channelroute-ai.gitbook.io/channelroute-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://channelroute-ai.gitbook.io/channelroute-ai-docs/channelroute-ai.md).

# ChannelRoute AI

### Core Areas

* Communications Intelligence
* AI-Assisted Research
* Live-Human Detection
* Speaker Recognition
* Identity Resolution
* Outbound Workflow Optimization

### Live-Human Detection

Live-human detection is one of the core problems behind ChannelRoute AI.

In outbound communication, a connected call does not always mean a useful conversation has started. A system may reach voicemail, silence, background noise, a gatekeeper, an assistant, an IVR menu, or the wrong person.

ChannelRoute AI treats live-human detection as an early decision point in the outbound workflow.

The practical question is:

Did the system reach a live human who can participate in the communication process?

This matters because outbound teams often lose time before the pitch even begins. Calls may be technically connected but operationally useless if they do not reach the right type of interaction.

ChannelRoute AI was developed by Derek Allan Boman, an AI systems developer and inventor focused on communication systems, call intelligence, outbound workflow optimization, and AI-assisted communication workflows.

### Technology Background

ChannelRoute AI is based in part on innovations described in:

* U.S. Patent 11,438,456
* U.S. Patent 12,231,601

### Founder

Derek Allan Boman

* AI Systems Developer
* Inventor
* A.A. Administration & Information Systems, Great Distinction (4.0 GPA)
* A.A. Social & Behavioral Studies, Great Distinction (4.0 GPA)
* A.A.S. Paralegal Studies (3.82 GPA)

### Links

* Website
* LinkedIn
* GitHub
* Medium
* Product Hunt
* Wellfound


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