charmthirteen.com
    Healthcare AI Advisory · Systems · Training

    Healthcare teams are deploying AI faster than they can govern it. I build the systems that keep up.

    I came out of Oracle Cerner solution analysis and healthcare data product management, so I know what breaks when AI touches a clinical workflow. I work with health systems, federal health agencies, and the founders building for both.

    problem.txt
    The real problem

    You don't have an AI problem. You have a systems problem.

    Most teams:

    • Use too many disconnected AI tools
    • Don't know what should (or shouldn't) be automated
    • Risk data privacy, compliance, and accuracy issues
    • Waste time on workflows that don't scale

    That's where I come in.

    outcome_01.txt
    Outcome 01

    Safe

    Aligned with compliance and real-world constraints.

    outcome_02.txt
    Outcome 02

    Efficient

    Reduce manual work without breaking workflows.

    outcome_03.txt
    Outcome 03

    Usable

    Built for how people actually work, not how AI 'should' work.

    how_it_works.exe
    How it works

    A clear process from audit to automation.

    Step 01AI Workflow AuditI analyze your current workflows, tools, and data to identify where AI is being misused, where it can create real value, and where it should NOT be used.
    Step 02System DesignI map your AI system end-to-end, covering tool stack, prompt systems and workflows, human-in-the-loop checkpoints, and risk and compliance considerations.
    Step 03Implementation + TrainingI help your team actually use the system through hands-on setup, team training and workshops, plus documentation and prompt libraries.
    Step 04Automation (Optional)For teams ready to extend the system, I build workflow automation with human-in-the-loop checkpoints, documented so your team can maintain it without me.
    who_this_is_for.txt
    Who this is for

    Built for teams where a wrong AI output reaches a patient, a claim, or a citizen.

    Compliance, accuracy, and trust aren't optional. Neither is structure.

    Health systems and clinical teamsDeploying ambient scribes, agentic workflows, or AI in clinical and revenue cycle operations.
    Federal health agenciesAdopting AI inside locked-down environments where the tooling, the data, and the oversight are all constrained.
    Healthtech foundersBuilding products that have to survive clinical review, procurement, and a security questionnaire.
    orinyx.exe
    Healthcare · Design partners open

    Orinyx. Independent verification for clinical AI, before it reaches a patient.

    Orinyx is the first product out of the charmthirteen studio, built from a question the advisory work kept running into. Hospitals wanted an independent way to test clinical AI before deployment, and no one could give them one. Orinyx checks every AI assertion against authoritative sources instead of another model's judgment, so each verdict is deterministic and arrives with a citation.

    • Phase 1 runs in a sandbox on synthetic data, no PHI, no EHR connection
    • Deterministic verdicts with citations showing what was checked
    • Findings documented for governance review
    • Design partner pilots open now
    claude_loves_lovable.exe
    Workshop series

    Claude Loves Lovable

    A founder-focused vibe coding series on shipping real product with Claude and Lovable. Five live sessions, and every one ships a Claude skill you keep.

    Start here

    AI Readiness & Workflow Assessment.

    Are you ready for AI? Where should you use it? What needs to be fixed first?
    different.txt
    What makes this different

    Most AI consultants have never watched a clinical workflow break in production.

    Oracle Cerner solution analysis
    Healthcare data product management
    Clinical AI governance research

    That background is why the recommendations hold up after I leave the room.

    Final call

    If your team is serious about AI, you need a system.

    Let's build it right.