Manufacturers keep investing in automation, ERP, AI, and capital projects, yet many still struggle with cost, resilience, and execution. The problem is not the tools, it is fragmentation.In this episode, Shane Williams and Paul Mason are joined by Oliver North and Warren Proctor, Partners at Argon & Co, to unpack why siloed projects quietly destroy manufacturing competitiveness, and what an integrated operational roadmap actually looks like in practice. The discussion cuts straight to the shop floor, exploring how disconnected decisions across operations, supply chain, IT, capital planning, and product development lock in mediocrity rather than advantage. Oliver and Warren explain why sequencing matters, why an 80 percent plan beats perfection, and how integrated roadmaps help manufacturers respond faster to disruption without burning out their teams.This is a highly practical conversation for operational leaders who want to move beyond isolated improvements and build organisations that can pivot, scale, and win under constant volatility.In this episode, you will learn:

• Why siloed investments reduce ROI and lock in operational constraints
• How integrated roadmaps align people, process, and technology around real business value
• What “good” looks like on the shop floor when strategy is truly joined up
• When automation helps, and when it simply hardwires inefficiency
• How digital twins and scenario modelling support faster decision-making, not prediction
• Why progress beats perfection when building operational capability

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Show notes and links for this episode: https://www.manufacturingtech.au/episodes/

Most manufacturers do not need another AI tool. They need better decisions from the ERP and data they already have.

In this episode, Graeme Evans and Ian Macdonald from Epicor explain how embedded AI is helping manufacturers move ERP from a system of record to a system of action, helping them get more from the systems they already use every day. We explore practical use cases across scheduling, supply chain risk, workforce onboarding, invoice matching and predictive maintenance, and explain why the best AI often feels invisible when it is done well.

In this episode, we cover:

• how to separate AI signal from hype in manufacturing

• why embedded AI inside ERP often beats standalone tools

• practical use cases across scheduling, supply chain risk, invoice matching and the shop floor

• why waiting for perfect data is a mistake and how to start small

• how to build trust, keep humans in the loop and get more from the systems you already own

If you lead operations, technology, supply chain or continuous improvement, this episode will help you spot practical ways to reduce admin, surface issues earlier and make faster decisions without handing control to the machine.

Thanks to Epicor for supporting this episode. If you want to learn more about how modern industry-specific ERP helps manufacturers gain clearer visibility and drive performance, visit epicor.com.

Show notes for this episode: manufacturingtech.au/episodes/

Four real AI use cases in Australian manufacturing and the hardware decisions behind moving from pilot to production.

In this episode, Troy Smithells from Xenon Systems (Australia's only Nvidia Elite partner) walks through where AI is actually earning its keep in Aussie manufacturing, and why production workloads often need to leave the cloud. We cover:

Hand-drawn to CAD file conversion: 4x faster, near-100% accuracy, $750K per year saved at a steel fabricator

Physical AI in pipe inspection: tiny robots mapping up to a kilometre of pipe for leak detection and preventative maintenance

Predictive maintenance from sound: a listening device on a conveyor belt catching wear before failure

Computer vision for construction OHS: PPE checks, exclusion zone alerts, and yes, crocodile alerts on the docks at Cairns

Why cloud AI costs scale exponentially and on-prem or hosted GPU hardware can land at roughly a quarter to half the spend

Data sovereignty, the US Cloud Act, and the space, power and cooling reality of running GPU clusters (132kg, 110dB, and a burn-in you need earplugs for)

When to bring in infrastructure specialists: after the proof of concept, before you try to scale

Whether you're a plant manager, operations leader, CTO, or integrator weighing up an AI project, this conversation gives you a practical map from pilot to production grade AI.

Follow Manufacturing Tech Australia on Spotify, Apple Podcasts, or YouTube, and leave a review if this episode helped you.

Show notes and links for this episode: https://www.manufacturingtech.au/episode/79-from-cloud-to-concrete-practical-ai-use-cases-in-manufacturing-with-troy-smithells/