RCM Intelligence
Real-world revenue cycle expertise that defines what competent work should actually look like.
DOMAIN KNOWLEDGE
DOMAIN / REVENUE CYCLE
FOCUS / AI ENABLEMENT + EVALUATION
Revenue cycle intelligence for healthcare AI.
I help turn real-world RCM judgment into AI systems that can actually do the work.
RCM BRAIN FIRST. AGENT SECOND.
PHOTO / TBD
professional photo
goes here
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ROLE
RCM + AI
MODE
IN THE WEEDS
THE THESIS
The model isn't
the hard part.
Knowing what right looks like is.
Healthcare AI doesn't operate in a vacuum. Revenue cycle work depends on context, evidence, payer behavior, sequencing, judgment, and knowing when the available information isn't enough.
That's where I work.
WHAT I BRING
Domain expertise, translated.
AI Evaluation
Testing outputs, finding failure modes, challenging assumptions, and separating plausible answers from defensible ones.
TEST + VALIDATEWorkflow + QA
Translating specialist judgment into processes humans and agents can execute, evaluate, and improve consistently.
SYSTEM DESIGNRCM + AI
Okay, but what are we actually talking about here?
AI can execute a workflow. RCM expertise determines whether it's the right workflow.
My work sits between revenue cycle operations and the systems being built to perform, evaluate, or support that work.
Explore RCM + AISELECTED WORK
Problems I've worked on.
METHOD / RCM BRAIN FIRST
RCM Brain First.
Agent Second.
Automation should inherit domain expertise, not replace the need for it.
See the full approach →
01
Investigate
02
Define
03
Translate
04
Pressure Test
05
Validate
06
Learn
FROM THE LAB
Notes from inside the work.
Why AI QA in RCM Can't Be Reduced to “Did the Agent Complete the Task?”
A completed workflow isn't necessarily a correct one.
Read note →The Difference Between a Plausible RCM Answer and a Defensible One
Sounding right and being supportable are not the same thing.
Read note →Five Ways an RCM Agent Can Be Technically Correct and Operationally Wrong
Because execution is only one part of the outcome.
Read note →
SECONDARY PHOTO / TBD
ABOUT ANNIE
I spent years doing the work before I started teaching AI how to do it.
My background is in healthcare revenue cycle operations. Today, I work at the intersection of RCM domain expertise, AI enablement, agent evaluation, QA, and workflow design.
I care less about whether an AI system can produce an answer than whether that answer survives contact with the real operational problem.
More about me →LET'S TALK
Building AI for healthcare revenue cycle?
I'm interested in the systems trying to make complex healthcare operations more intelligent, reliable, and scalable.