Generally acceptable, with care.
Public information, general research questions and your own drafts containing no identifying or commercially sensitive detail.
Verify the output before relying on it.
Practical AI governance for Australian SMEs
Traigun AI helps Australian SMEs, founders and directors adopt AI safely by turning governance and risk requirements into practical policies, registers, controls, workflows and evidence.
This is applied AI governance and business systems work. It is not generic AI consulting, automation sales or chatbot development.
Public checklist
Use the Can I Put This Into AI? checklist to decide whether information is appropriate to enter into an AI system. It is a starting point, not a substitute for broader AI governance.
Public information, general research questions and your own drafts containing no identifying or commercially sensitive detail.
Verify the output before relying on it.
Internal business information, supplier or operational detail, or anything commercially sensitive.
Use an approved tool route, a named approver and a record of material use.
Personal information, client-confidential or privileged material, credentials, financial-account detail or regulated records.
Use a separately approved secure route or keep the task outside AI.
Choose the most sensitive information involved. The result is generic and does not replace a tailored classification.
Do not enter source material. This selector does not ask for, process or retain task content.
The PDF is for everyday decisions about what may go into AI. When the same questions keep recurring, the AI Governance Starter Pack turns them into policy, registers and controls.
Primary paid starting point
A practical engagement for organisations that already use AI in normal operations but do not yet have appropriate governance.
Australian SMEs, founders, directors, boards, consultants and confidential or regulated workplaces that need a proportionate starting point, not an enterprise transformation programme.
A scoped Starter Pack typically includes some or all of the following, confirmed in writing before work begins:
Not every engagement includes every component. Scope, limitations and delivery terms are confirmed in writing. This is general information, not a compliance guarantee or legal service.
The approach
AI may analyse, draft, classify, recommend and propose. Named people remain accountable for material decisions. Model output is not a business action until it has been reviewed. Read more on AI governance in Australia.
Do not automate a poorly understood process. Identify the business system, authoritative sources and owners before introducing AI.
AI may exercise judgement inside a defined task. Authority limits, evidence requirements and approval controls still govern material outcomes.
For controlled work, AI should generally read evidence and propose changes. Material external actions pass through human or deterministic approval before they are executed.
Working methods
These methods support practical governance judgement. They are not certification, legal advice, regulatory approval or a compliance guarantee.
Map tools, use cases, information, owners and high-consequence workflows.
Set policy, roles, prohibitions, approval levels and review triggers.
Translate rules into permissions, workflow gates and repeatable checks.
Retain decisions, sources, reviews, exceptions and control-test evidence.
Discover, Govern, Systemise and Prove: Traigun AI’s working method for responsible AI adoption. It is a practice framework, not an independently validated assurance scheme.
Hard statutory or numerical rules stay read-only. Controlled policy may be proposed, not silently changed. Everyday templates can be drafted for approval. Marketing content can be generated; a person still publishes it.
Distinguish AI use from AI dependency, and AI-supported performance from retained independent capability. This is an active research position, not a claim that deskilling is settled fact.
When a checklist is not enough
The Starter Pack turns repeated AI-use questions into policies, registers, workflow controls and director-level oversight shaped around actual use, information and consequences.
We confirm scope, limitations and delivery terms in writing before work or a meeting begins.
Traigun AI is the applied AI governance and business systems practice of Traigun Pty Ltd, led by Mandeep Brar. The practice draws on a background across law, commerce, professional accounting, corporate governance and AI-assisted systems implementation. Traigun AI is not a law firm and does not provide legal services through this website.