“AI is an enabler”

At the Digital Built World Summit 2025 in Sydney, thetransformative potential of AI in AEC was a major focal point, something we at DeepSpace are passionate about sharing with the industry. Central themes focusedon the integration of digital engineering with asset management, the criticalrole of data optimisation and the adoption of AI-drive solutions

Integrating Digital Engineering with Asset Management

Jesse Miller from Queensland Hydro emphasised the importanceof embedding digital engineering within existing asset management frameworks toenhance efficiency. By aligning digital initiatives with established processes,organisations can achieve improved project outcomes and operational coherence.

The Imperative of Clean Data

Alrun Wigand from Energy Queensland highlighted a universalchallenge

“The basics are clean data! Every large-scale utility hasthe same problem.”

Prioritising data cleanliness is essential for effective decision-makingand operational efficiency. Without structured, accurate data, business facemiscommunication, delays and costly errors.

At Deep Space, we don’t just store data, we clean it, structure it and make itactionable. Our system detects inconsistencies, removes duplications and standardisesinputs, ensuring reliable and up-to-date information across all workflows.Clean data alone isn’t enough. It needs to be usable.

AI as an Enabler

Serryn Eagleson from Arup captured it accurately andsuccinctly:

“AI is an enabler”

At Deep Space, AI isn’t just a buzz word, it’s a belief. Weare actively solving real problems with Kai, our AI-powered assistant. Thebiggest challenge in AI adoption isn’t the technology itself, it’s proving it’svalue to leadership. AI needs to deliver clear, tangible results that driveefficiency, reduce risk and improve decision-making.

Kai does exactly that. By continuously analysing project data, it identifies patterns,automates repetitive tasks and flags potential issues before they escalate.This reduces delays, improves decision-making and gives teams greater project control.For executives hesitant about AI adoption, Kai proves its value by streamliningcompliance, predicting bottlenecks and increasing project visibility. At DeepSpace we’re not just talking about AI, we’re using it to remove friction,empower teams and drive projects forward with confidence.

The Path Forward for AEC

The conversations at DBW 2025 made one thing abundantlyclear. Technology alone isn’t the solution.

Success lies in how we apply it to real-world challenges.Whether it’s integrating digital engineering with asset management, ensuringclean and actionable data or proving AI’s value in day-to-day operations, theindustry needs practical, scalable solutions that deliver results.

At Deep Space we are focused on making digitaltransformation tangible. We’re not just advocating for AI, automation and dataintegration, we’re implementing them in ways that enhance efficiency, reduce riskand create measurable impact. Our approach is simple. Remove the barriers thatslow teams down, provide total visibility where it’s needed the most andempower businesses to work smarter, not harder.

The industry is moving fast, and those who fail to embracechange risk being left behind. With the right tools and mindset, we have the opportunityto redefine how projects are delivered, setting a new standard for efficiency andinnovation in AEC.

Deep Space is ready to lead that change.

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