In-house specialist

AI Systems Management, Governance & Assurance

A model that made sense last quarter can drift, leak data or make a call it never should. Who is watching it — and against what standard?

The problem we solve

An AI system is not “set and forget”. Models drift, data flows change, and a system that was safe at launch can quietly start making decisions outside its lane — or exposing data it should never touch. Without governance mapped to a recognised standard, you find out when something breaks. The question is not whether your AI works today; it is who is accountable for it, and against what.

What's included

An AI governance framework mapped to ISO/IEC 42001 and the AI Ethics Principles
Ongoing monitoring for model drift, data leakage and out-of-lane decisions
Privacy and data-handling controls checked against the Australian Privacy Principles
A human-in-the-loop assurance layer — a CPA reviews the decisions that matter
Documented controls, audit trail and periodic assurance reporting

The outcome

AI you can stand behind — governed to a named standard, monitored for drift and leakage, and backed by human review, so the system keeps its judgement inside the lines you set.

Where this maps in the law & standards

ISO/IEC 42001 (AI management systems), Australia’s AI Ethics Principles (DISR), and the Privacy Act 1988 (Cth) with the Australian Privacy Principles.

This page is general information only — not personal financial, tax or legal advice. Any AI build or advisory work is performed under a signed engagement with Local Knowledge Pty Ltd, in accordance with the applicable professional standards, and every material output is reviewed by a CPA. Building an AI system reduces risk to a reasonable level; it is never a guarantee of a particular outcome.

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Book a confidential conversation and we’ll map where AI belongs in your business — which decisions it should make, what you’d own, and how the value should flow.