Presenters Name: Tam Galahena
Employment Title: Founder
Company: Enble AI
Biography: Tam Galahena is the Founder of Enble AI, a Melbourne-based AI firm delivering practical AI training, adoption programs and rapid prototypes for leaders and operational teams. His sessions are demo-led and focused on safe rollout, measurable productivity gains, and repeatable workflows with clear guardrails around sensitive data, verification and compliance. An ex-CTO, Tam has delivered AI sessions in partnership with Australian government programs, helping organisations move from curiosity to controlled, real-world use across the business.
Presentation Title: Practical GenAI for Coatings Leaders & Teams: improving decisions and documentation without increasing risk
Presentation Abstract: Generative AI is already turning up across the coatings value chain, often through informal or “shadow” use. Used well, it reduces rework and improves consistency across documentation, analysis, and decision-making. Used badly, it leaks IP, creates compliance risk, and produces confident-sounding errors that are hard to detect. This session is a practical, demo-led, vendor-neutral briefing for coatings leaders and technical teams on how to use tools such as ChatGPT and enterprise copilots safely for real work. The session is delivered through live demos rather than slides, using de-identified examples in coatings language, so manufacturers, suppliers, and service providers can see what is possible right now and what guardrails actually matter. Rather than focusing on narrow tools or niche tricks, the emphasis is leadership-grade use of GenAI as a thinking partner: stress-testing ideas, surfacing assumptions, identifying gaps in evidence, and clarifying risks before they become costly mistakes. We’ll cover how custom assistants, context, explicit constraints, and model selection change output quality, and where GenAI is appropriate and where it is not. Guardrails are explicit throughout, including what never goes into a model, how to reduce hallucinations and overconfidence, red-flag rules, and a practical verification checklist to decide when to trust, revise, or escalate to human review.
Through short, focused demos, the session shows how the same core approach applies across common coatings artefacts such as SOP drafts, technical service responses, investigation summaries, change briefs, internal guidance notes, and management updates. A brief voice-based demonstration will also show how spoken input can be used to capture context quickly and convert rough thinking into structured, reviewable drafts. Attendees will leave with a clear adoption pattern they can apply immediately across people, processes, products, and services to reduce rework, improve decision quality, and create space for new value without increasing risk.
