“Technology is great. It’s adoption that moves the needle.” – Jonathan Sinclair

In this episode of Building Stories - The Podcast, powered by Deep Space, we’re joined by Jonathan Sinclair and Benny Huang from Preformance, a specialist construction technology company spun out of Southbase Construction.

We dive into their unique journey from the tech world into construction, the origins of Preformance, and the hard truths about why the same digital tools keep falling short, not because they’re bad, but because the adoption gap is real.

We discuss:

• Why construction projects still run on 2D prints despite advanced 3D models
• The problem with BIM as a line item, and how to reframe its value
• How cost, programme, and quality can all be improved when tech is embedded properly
• The challenge of capturing and passing on project knowledge
• Why real project outcomes must drive innovation, not just tools

This episode is full of practical insight for anyone trying to make digital transformation actually stick in construction.

Key Sections:

• From Tech to Construction – Jonathan’s Journey – 03:37
• Why Preformance Was Born Outside the Mothership – 06:02
• The Problem Isn’t BIM, It’s Adoption – 10:14
• What’s Holding Back Innovation on Site – 14:10
• The Knowledge Gap Between Projects – 24:13
• The Future of AI, Robotics, and Reality Capture – 29:32
• What Needs to Change in the Industry – 35:11
• Quick Fire Round – 42:17

Building Stories is powered by Deep Space – Mission Critical Construction AI.

“On average, we only do half the stuff we plan to do. And that’s where things go wrong.” – Jon Davies

In this episode of Building Stories - The Podcast, powered by Deep Space, we sit down with Jon Davies, CEO of the Australian Constructors Association, to talk about the critical role of planning in improving outcomes across construction.

We discuss:

• Why poor planning leads to higher safety risks and costly delays
• How unplanned tasks are often the root cause of incidents on-site
• Why technical proficiency and improved processes are key to breaking this cycle
• How data and AI can help teams predict risks and improve decision-making

This episode offers practical advice for construction leaders, project managers, and anyone frustrated by inefficiencies in the industry.

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Key Sections:

• Jon’s Career Journey and Industry Insights – 02:24
• Why Construction Teams Struggle with Planning – 09:00
• The Link Between Poor Planning and Safety Risks – 12:00
• How AI and Data Can Improve Decision-Making – 24:18
• The Future of Construction Planning – 30:22

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Building Stories is powered by Deep Space – Mission Critical Construction AI.

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“We’re still fundamentally building in the same way we were 30 years ago.” – Matthew Mackey

In this episode of Building Stories - The Podcast, powered by Deep Space, we sit down with Matthew Mackey, National Service Lead for Cost and Commercial Management at Arcadis. With over 25 years in the industry, Matthew reflects on the repeated mistakes construction keeps making and what must change to build better, faster, and smarter.

We discuss:

• Why construction has been stuck in the same cycle for decades
• The real barriers to tech adoption, and why Excel still dominates the industry
• How change management is just as important as the tech itself
• The long-term vision construction needs to break free from short-term thinking
• What smaller contractors can do to improve cost control and survive in tough markets
  

Matthew shares his experience leading internal innovation at Arcadis, highlighting the challenges of driving change in an industry built on habit.

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Key Sections:

• Matthew’s Path into Construction and Arcadis – 02:24
• Why Construction Struggles to Change – 09:00
• The Hidden Challenge of Internal Tech Development – 12:00
• How to Drive Change in a Resistant Industry – 19:30
• What the Future Holds for Construction Tech and AI – 26:30
• The Critical Role of Government Leadership in Innovation – 32:00
• Advice for Small Contractors Facing Financial Struggles – 34:50

Building Stories is powered by Deep Space – Mission Critical Construction AI.

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