AI systems architect · Denver
Companies are becoming systems shared by people and agents.
I design the operating model underneath that change: identity, judgment, delivery, governance, and the infrastructure that makes it real.
OPERATING MODELJR / 2026
SYSTEM STATUSJudgment retained
01CONSTRAINT
The old system is the bottleneck.
Agent speed is colliding with organizations designed for human throughput.
More output does not create more value when identity is ambiguous, approvals are implicit, context is scattered, and every control assumes a person is clicking the button.
The job is not to bolt AI onto the queue. It is to redesign the queue, the boundaries, and the meaning of ownership.
IDENTITYDELEGATIONPOLICYCONTEXTVERIFICATIONOWNERSHIPIDENTITYDELEGATION
02INTERVENTION
Selected systems
Work that changed the shape of the company.
SYS.01
Company-wide AI adoption
From isolated experiments to shared capability
5→90%adoption in 90 days
↗
SYS.02Shared AI infrastructure
One governed platform, many models and teams
70K+interactions each day
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SYS.03AI-native software delivery
Code intelligence before agent change reaches review
OMENRust · SAST · MCP
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SYS.04Workflow redesign
Automation built around the exception, not the happy path
$4Mprojected savings
↗04EVIDENCE
Open work
The thesis is tested in public.
05FIELD NOTES
Consulting · advisory · leadership
What part of your company is AI starting to crack?
Bring the system, the constraint, or the uncomfortable question.
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