AI Strategy · Governance · Private AI
Most organizations have seen the promise of AI. Fewer have seen it work inside their compliance obligations. Ohana Tech helps regulated businesses decide where AI earns its place, govern it from day one, and run it on infrastructure they control.
What we do
In a regulated business, the hardest questions about AI are rarely about the model. They're about accountability, data boundaries, and whether the result will hold up in an audit. We start there, then help you find the workflows where AI delivers measurable benefit.
An assessment of where AI fits in your business, an AI use policy your people can follow, and a phased roadmap tied to the controls your regulators and customers already expect.
Learn more →AI that runs inside your security boundary on open-weight models, with governance built in and capacity-based costs you can forecast. Your data stays with you, and you aren't tied to one vendor's pricing cycle.
Learn more →Pilots and production rollout that follow the roadmap: integration with your existing systems, access controls, audit trails, and training so adoption keeps pace with governance.
Learn more →Who we work with
Experience
Our work draws on long experience building and running technology where compliance, safety, and reliability are part of the job.
Why governance comes first
Regulations and frameworks such as NIST AI RMF, the EU AI Act, and industry quality standards are written in natural language for human reviewers. AI systems act on structured data and explicit constraints. Much of the difficulty in regulated AI deployment lives in the space between the two.
Ohana developed the open Structured Context Specification to close that gap, so governance requirements reach AI systems in a form they can use and auditors can check.