AI strategy
Can we have strong AI guardrails and still be productive?
Leaders often frame guardrails and productivity as a trade-off: protect the business, or move quickly. I do not accept that framing. The right approach to AI protects people without making useful improvements needlessly difficult. For Australian businesses, the practical question is how to reduce repetitive work while keeping privacy, accountability and human judgement at the centre.
It starts with a specific operational problem, not a broad ambition to adopt AI. A team might spend hours gathering documents, chasing approvals or moving information between systems. Map that process, put a cost on it and identify which steps genuinely need a person.
Be as clear about the boundaries as you are about the opportunity. Define what information the system may use, what actions it may take and where approval is required. Sensitive workflows deserve specialist review before deployment, not a promise that the technology will somehow manage the risk on its own.
Our view at Aventine AI is that sensible safeguards and commercial progress reinforce each other. Prove one workflow, measure the outcome and expand only when the evidence supports it. The objective is a stronger business, not automation at any cost.
Adapted from John Ishak's LinkedIn post of 15 July 2026. View original post
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