About Incline Protocol
We build AI governance the way it should have been built from the start: by people who've operated inside the systems they're now governing
What's Next
Incline Protocol's work — and the frameworks, decisions, and lessons behind it — are documented in the Protocol Library, a running record of how AI governance actually gets built in regulated industries. Not a pitch. A field notebook.
Why This Exists
AI is moving faster than the governance infrastructure meant to contain it. Most companies deploying LLMs, agentic workflows, and automated decision-making are doing so without the risk frameworks, audit trails, or accountability structures that regulators, auditors, and enterprise customers now expect as table stakes.
That gap isn't a paperwork problem. It's a trust problem — and it's closing fast, whether organizations are ready or not.
Incline Protocol exists to close that gap before it closes on you.
Where This Comes From
Incline Protocol is built on 20 years of hands-on work in healthcare IT and regulatory compliance — not theory, not templates borrowed from a generic GRC playbook.
That experience includes building and operating CareConvene and Tandem, two healthcare-focused platforms where compliance wasn't a checkbox exercise but a daily operating constraint. HIPAA, data governance, and regulatory risk were lived problems, solved under real product deadlines and real audit pressure.
That same operating discipline now shapes how Incline Protocol approaches AI governance: grounded in what actually holds up under audit, not what looks good in a slide deck.
How We Think About Governance
Governance should move at the speed of the product, not slow it down. The goal isn't to add friction — it's to build accountability into the system so speed and compliance stop being in tension.
Frameworks are tools, not theater. NIST AI RMF, EU AI Act, HIPAA, and SOC2 all matter — but only insofar as they translate into decisions your team can actually defend when asked.
Regulated industries reward depth, not breadth. HealthTech first, because that's where the deepest expertise and highest stakes intersect. Every engagement sharpens that depth rather than diluting it across unrelated verticals.
Honest gaps beat comfortable blind spots. A governance program only works if it tells you the truth about where you're exposed — even when that truth is inconvenient.
Who We Work With
Healthcare technology, fintech, and SaaS companies deploying AI in production — organizations that have moved past experimentation and need governance that holds up in front of a board, an auditor, or a regulator.