HIPAA is slowing down early-stage teams — so I built an AI reviewer to fix it
A lot of early-stage teams struggle with HIPAA because they don’t know:
• what counts as PHI
• when they need a BAA
• what’s compliant vs risky
• what technical safeguards apply
• what to fix in their workflow
So I built CompliAssistant™ — an AI HIPAA reviewer + compliance consultant.
It reviews:
• architecture
• user flows
• policies
• agreements
• documentation
• processes
And gives you:
• specific fixes
• risk flags
• safeguard requirements
• plain-English explanations
If your product touches health data, this might save you days of confusion.
Free to try for early founders:
Drop a comment for access.
Would love any feedback from this group.
This hits a really real pain point — HIPAA isn’t just a checklist, it’s one of those compliance burdens that slows teams down without giving obvious errors until late in the process. A targeted AI reviewer to surface issues early could save a lot of rewrites and hand-offs between legal and engineering.
One pattern I’ve seen in compliance tooling that founders actually adopt is signal-first alerts — where the tool highlights specific risky phrases or patterns and ties them to the exact part of the spec they violate. That makes the output actionable instead of just advisory.
Curious — in your early tests, what’s been the most surprising pattern the AI reviewer flags (something teams consistently miss but matters for compliance)? That kind of insight often tells you where the real friction lives.