AI Governance for PHI
Use AI with PHI — without the regulatory guesswork. Practical AI and LLM governance for companies handling protected health information: guardrails and frameworks that enable safe adoption without overclaiming.
This is for you if…
You're building with LLMs or AI features and PHI is somewhere in the pipeline. A customer or regulator is starting to ask what your AI governance looks like — and you don't have an answer yet. You want to adopt AI responsibly without either reckless speed or a policy that quietly kills every use case. You're preparing for HITRUST AI security assessment or ISO 42001 and need a credible starting point.
What's included
- AI and LLM acceptable-use policies grounded in how your team actually works.
- A governance framework: guardrails, data-handling rules, human-oversight expectations, and review processes.
- Mapping your AI practices to emerging standards — HITRUST AI security assessment, ISO 42001, NIST AI RMF.
- The intersection few people cover well: what changes when PHI enters an AI pipeline.
How we structure it
Delivered as a focused project to build your governance framework and policies — or as an add-on to a fractional leadership retainer, so governance stays current as your AI use evolves.
The deliverable
A working AI governance framework: acceptable-use policies, guardrails, oversight processes, and a defensible answer when a customer or regulator asks how you govern AI with PHI.
Timeline
Typically 4–8 weeks for the framework build; ongoing if delivered as a retainer add-on.
Why AuditPath
This is a genuine differentiator, not a bandwagon. Vibha built AI and LLM governance frameworks at a health-tech startup before most firms had a point of view — and understands the specific risk that emerges when PHI meets AI, not just AI governance in the abstract.
Pricing
Pricing is scoped to project or retainer add-on.