Assess
AI Governance First-Look
A paid diagnostic. Where AI is already used in your practice, what the real risks are, and a go or scope recommendation in a one-page read you can take to a board. About a day and a half of senior work.
AI governance · Perth
A position on AI you can defend.
Nitivra is a Perth advisory practice for AI governance and business readiness in healthcare and allied health. We give you an evidence-led answer to the question your board, your funder, and your regulator will ask: is your AI use defensible?
How we deliver
Judgement, on the record
A named accountable person reviews and signs every deliverable. No client or sensitive data leaves a privacy-safe, local environment. AI does the legwork; the framework, the judgement, and the accountability are the founder's.
Built for
Allied-health practices
NDIS providers
Aged care
Primary care
Compliance and risk
Clinical governance
What we do
Three engagements. One discipline: evidence before opinion.
We advise. We do not build, host, or operate AI systems, and we take no commission on any tool. Every recommendation traces to evidence a board can read.
Baseline
AI Governance and Readiness Baseline
A fixed two-to-three-week engagement: a map of every AI use, a risk and control register built on our defensibility assessment, a readiness recommendation, and a board-ready summary.
Sustain
Retained advisory
Quarterly governance review, incident support, and plain advice as the regulatory position moves. For organisations that want the position kept current, not revisited from scratch.
Approach
How an engagement runs.
01
Establish the question
We start from the decision you need to make, not the technology. One clear question, written down.
02
Assess against the law
We test each AI use against the Privacy Act 1988 (Cth), the Australian Privacy Principles, and the professional obligations that bind your clinicians, and we record where the line sits.
03
Position every use
Each use receives a recorded position: defensible, conditional with named owners and dates, or not yet defensible. The position is computed from evidence, not chosen.
04
Document for audit
You receive a board-ready record: what was decided, on what evidence, and who is accountable. It is written to survive scrutiny by a funder, an insurer, or a regulator.
1988
The Privacy Act (Cth) and the APPs frame every assessment
15
controls in the defensibility assessment, each requiring evidence
1
named accountable owner recorded for every AI use we assess
Most AI adoption does not fail on the model. It fails on the gap between the people building the tool and the people who have to answer for it.
Closing that gap, before the audits and the regulatory tightening, is the work. Read how we close it.
Next step