Construction and Engineering AI Integration Field Lab
About this Event
AI can help reduce administrative workload, but in construction and engineering, it needs to work within clear safety, approval, and document-control boundaries.
RFIs, variations, controlled documents, and approval processes can take up significant time and create pressure across project teams. This practical Field Lab gives construction firms, engineering consultancies, and trades businesses a structured way to explore where AI could support these workflows without replacing professional judgement or established responsibilities.
You will examine common workflow pressures, explore where AI can assist, and test practical scenarios using fictional RFI and variation material. The session focuses on practical AI integration, workflow improvement, risk management, document control, and responsible use.
Rather than simply discussing what AI could do, you will leave with a clearer view of which opportunities are worth testing and what should remain firmly under human control.
Who this is for
This Field Lab is suited to:
- Construction firms and contractors
- Engineering consultancies
- Trades and specialist businesses
- Project and contract teams
- Document control and administration staff
- Office and operational teams supporting construction projects
A mix of site and office participants is encouraged.
What we will do together
- Map key pressures: Identify where administration, documentation, scheduling, margin, and compliance create opportunities for improvement.
- Set practical boundaries: Clarify where AI should not replace WHS responsibilities, professional sign-off, approval authority, or controlled-document processes.
- Explore RFI and variation workflows: Test practical AI support using fictional project materials.
- Assess opportunities: Score potential use cases based on value, feasibility, and risk.
- Plan the next step: Prioritise an opportunity and develop a practical 30-day action plan.
What you will take home
You will develop practical resources during the session, including:
- A construction and engineering problem brief
- A controlled-document and approval matrix
- A tested AI workflow canvas
- A scored opportunity map
- A practical 30-day AI integration plan
Good to know
This is a practical, sector-focused session, not a general introduction to AI.
All hands-on activities use fictional RFI and variation examples rather than confidential project or client information. Existing WHS duties, professional judgement, contractual authority, and document-control requirements remain with the appropriate people.
No advanced technical experience is required. Bring your knowledge of the workflows and administrative challenges your team deals with every day.
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Refund and Cancellation Policy
Cancellation Windows
- 14+ days before: Full transfer to another session or course credit (less platform fees). Refunds are at WA AI Hub’s discretion and may incur an admin fee.
- 7–13 days before: Transfer or credit only, subject to availability. No cash refunds for change-of-mind.
- Less than 7 days before: No refunds, credits, or transfers for change-of-mind. Exceptional circumstances considered at our discretion.
- No-show/Partial attendance: No refund or credit is provided, except as required by Australian Consumer Law.
Substitutions & Changes
- Substitutions: Permitted up to 24 hours before the session. Please provide attendee details in writing.
- Organiser Changes: If we cancel or significantly reschedule, you will receive a full transfer, credit, or refund per Australian Consumer Law.
Our services include guarantees that cannot be excluded under Australian Consumer Law. Platform fees may be non-refundable if retained by the third-party provider.
How to request a remedy
Email Junita at [email protected] or call (08) 6156 4865. Include your name, session title, and booking reference.
By registering, you acknowledge this policy and your statutory rights under Australian Consumer Law.
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Where is it happening?
Event Location & Nearby Stays:
AUD 346.64



















