I take chaotic behavioral-health billing operations and turn them into predictable, high-margin revenue engines — through workflow design, KPI accountability, process control, and now AI-driven automation. This is a living map of that system.
From admission to resolution, each claim travels a single trunk — then branches at the payer's decision into paid, worked, or closed. Tap any node for the high-level view of how it works and the numbers I hold it to.
Revenue Cycle Operations executive with 8+ years building RCM infrastructure from the ground up across behavioral health and substance-use-disorder care. I specialize in the messy middle — where payer complexity, clinical documentation, and cash flow collide — and I turn it into something measurable, controllable, and fast.
I've been the trusted advisor to CEOs and ownership groups through rapid growth, designed the data systems leadership runs on, and led teams of up to 70 across the full cycle: VOB, UR, billing, denials, appeals, negotiations, and posting. Now I'm integrating agentic AI and automation into RCM operations to accelerate performance without sacrificing accuracy, compliance, or human accountability.
Not a payer report — the internal oversight layer I built to grade every department and facility, watch AR composition, and catch stalled claims before they age into write-offs. This is how 70 people across 11 teams stay accountable to one number. Sample data; live interactions.
| Metric | Current | Prior | Δ |
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Each of the 39 claim statuses maps to an owning team, a defined touch cadence, and an escalation path — the standardized system I built so dozens of people across many teams act as one. The playbook itself stays internal; this is the shape of it.
Twelve teams arranged the way a claim actually moves — one wheel, every gear turning the same direction. Hover any node to read its name and touch cadence in the hub. The ★ signature statuses are the ones I'm asked about most; every definition and decision tree stays sealed in the internal playbook.
RCM has run on manual follow-up and brittle spreadsheets for decades. I'm rebuilding the foundation — data pipelines, dashboards, and agentic automation — so the human team spends its time on judgment, not on data entry.
"Automation in RCM should remove the keystrokes, not the accountability. Every agent I deploy leaves an audit trail, a human checkpoint, and a number I can defend to ownership."
Open to RCM leadership roles, fractional/consulting engagements, and conversations with behavioral-health ownership groups navigating growth, payer complexity, or operational transformation.