For doctors, lawyers, and realtors using AI tools without the BAA. The literature is loud about what can go wrong. The audit is what closes the gap.
Recent peer-reviewed evidence on AI in clinical contexts — sourced live via PubMed (search the same backbone yourself further down):
If you're a physician using AI for anything that touches patient data, you need a BAA in place with your AI provider. Most don't have one. The literature now agrees this is urgent — see the citations above. The audit is the diagnostic.
This is what makes my practice different. A forensic audit looks backward at AI outputs your practice has already generated. I find the things that shouldn't exist — auto-generated content with fabricated citations, AI responses containing hallucinated patient information, compliance gaps nobody noticed because the output "looked right."
The pitch is simple: "I never asked for that." AI tools generate things you didn't request — fabricated references, confident-sounding nonsense, PHI leaks via prompt history. A forensic audit finds them before a regulator does. Recent literature (Hooshiar 2025, above) shows fabrication rates of 82% in commonly-used models — this is not a theoretical risk.
I configure AI tools for your practice with compliance built in from day one. Tool selection matched to your workflow, BAA verification and documentation, staff training on safe usage patterns, and ongoing compliance monitoring.
An AI-powered calendar intelligence system I built and use daily. It reads your schedule, maps events to your real priorities, detects when your day has gone off-plan, and proposes adjustments. Not a task manager — a strategic awareness tool that keeps your calendar aligned with what actually matters.
The pattern that works is human + AI in deliberate co-pilot architecture — not AI alone, not human alone. The literature is increasingly explicit:
The takeaway: AI is genuinely useful in clinical contexts when deployed with grounded retrieval, human co-pilot structure, and explicit compliance scaffolding. The consulting work is installing that scaffolding around the tools you're already using.
The same academic-database backbone wired into the consulting work — direct from PubMed via NCBI E-utilities. No third-party processor, no analytics, no list-building. Search any biomedical literature topic; results come back with full citations.
I'm not selling AI tools. I'm selling the audit + compliance infrastructure that closes the hype-vs-reality gap the literature names explicitly (Abd-Alrazaq 2025, JMIR Form Res, DOI).
What that looks like in practice:
The 20-minute intro call is free. I'll show you exactly what I'd look at in your practice — no sales pitch, no slide deck. If we both think there's a fit, we move forward. If not, you walk away with a clearer view of your AI surface area than you came in with. That's worth 20 minutes either way.
20-minute intro call. I'll show you exactly what I'd look at in your practice. No sales pitch — just a demo.
Schedule a call