Services & Projects
Ohana operates across two active technology projects and three service areas. The projects are production-ready tools built on open standards. The services apply twenty years of healthcare technology experience to the problems that matter most in regulated AI deployment.
Active Projects
Project 01
An open specification — Apache 2.0 — for structured, versioned AI context management. SCS treats context as a first-class artifact: git-native, reviewable, and consistent across sessions, agents, and team members. It closes the gap between governance frameworks written for human readers and AI systems that operate on structured data and explicit constraints.
SCS includes a dedicated standards bundle type so that governance requirements travel directly from the standards body to the AI agent, intact and machine-readable. Reference bundles exist for CHAI T&E, HIPAA, and NIST AI RMF.
Project 02
AI governance for when the stakes aren't theoretical. SCP streams your governance context — your policies, your compliance requirements, your operational boundaries — directly to your AI agents at runtime. Agents operate inside your rules, not their training data.
When regulators ask what your AI knew at the time of a decision, SCP gives you the answer: a full audit trail, every request, with agent identity, policies delivered, and context versioning. Built for HIPAA, CHAI, NIST AI RMF, and EU AI Act compliance — which begins enforcement for high-risk healthcare AI systems on August 2, 2026.
Consulting Services
Service 01 · Powered by SCP
Governance in regulated industries isn't optional, and it can't be retrofitted. The frameworks that matter — CHAI, HIPAA, NIST AI RMF, EU AI Act — require accountability mechanisms that span the full development cycle through runtime. Ohana designs and implements governance architectures grounded in the SCP platform and SCS methodology, tailored to the operational and regulatory context of your organization.
Service 02
The point of entry for most patients is still friction-heavy, opaque, and slow. AI can reduce that friction — but only when it's designed with the payer-provider relationship, prior authorization rules, and clinical triage logic built in from the start, not bolted on after launch.
Service 03
Most patient engagement tools focus on reminders and portals. The harder problem is the space between visits — where patients have questions they don't know how to ask, conditions they don't know how to manage, and resources they don't know exist.
Ohana designed and built Jasmine, a personal AI health coach that uses the patient's own health record — accessed via 21st Century Cures data rights — as the foundation for a continuous, personalized health relationship. Jasmine helps patients find answers, navigate care options, and connect to the right resources: smoking cessation, weight management, active living, dietitians, psychologists, community services, and more. It acts as a confidant and guide, not a portal.
Jasmine is now in market as CairCompanion, the patient-facing agent within the CairIQ platform developed by Pulp Digital and Cetus Digital.