01AI systems
An operating system for AI work
Reusable methods, company context and a clear place for each output.
Internal system · installation in finalization
AI systems · workflows · revenue operations
Phoenix Bohannon
I build systems
people can
actually use.
AI operating systems, business workflows and the tools teams sell through. I connect the process, the people and the evidence behind it.
Co-founder, Funnel Futurist
Experience behind the systems
$443KPersonal closing · 5 months
$152KPersonal setting · 8 months
$2M+Team I led · 24 months
Separate roles and counts.
Team revenue is team revenue.
01 / Selected work
From a process
to a working system.
What I’m building, how I approach it, and what each example demonstrates. Public examples use generic diagrams; account and client data stay private.
02Workflow engineering
A view of the systems running a business
Connect the job, its source and its last result so status means something.
Architecture example · company data private
03Design systems
Design methods that survive the next project
A reusable renderer with company-specific branding and assets kept outside it.
Reusable method · public diagram example
04Revenue operations
Sales workflows with visible evidence
Turn a setter’s daily work into numbers the rep and founder can use.
Operating experience · evidence in resume
02 / How I think
Clear boundaries.
Connected work.
One place to work. Reusable methods behind it. Outputs the business owns. The map makes each part’s job visible.
Read the architecture in plain text
- The team asks questions and approves work in its company AIOS.
- The company instance holds its own context and credentials.
- Approved operations reach a private methods service.
- The resulting documents and installed workflows belong to the company.
- Training and run evidence support operation, maintenance and recovery.
Start with the job.
Define the outcome and the evidence that would show it works before adding another tool.
Make ownership visible.
Reusable methods, company records and client outputs each need a clear home and permission boundary.
Test the whole path.
A passing function is one part. The intended person still needs to use the result and recover when something fails.
03 / Background
I learned the process
from inside the work.
Before building systems, I sold door to door, set appointments, closed offers and led a sales team. Those roles taught me where a process holds up—and where it creates more work.
I studied biology with a physical therapy emphasis before moving into sales and business operations. Today I maintain our company’s AI operating system and build its operator certification program.
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