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Products, Prototypes and Pipelines
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Products, Prototypes and Pipelines

Hosted by Melbourne BizApps User Group

Thursday 8 October 2026, 17:30

Venue time (Melbourne)

Thursday 8 October 2026, 17:30Venue time (Melbourne)
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Downloads an .ics file · Times are in Australia/Melbourne · Google Calendar

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Tickets sold by meetup.com

Add to calendar · Downloads an .ics file · Times are in Australia/Melbourne · Google Calendar

Products, Prototypes and Pipelines: Adopting AI Across the Software Delivery Lifecycle

Most AI conversations in the Power Platform and Dynamics community stop at chatbots and Copilot agents. This session goes further: how do you actually embed AI across the software delivery lifecycle to solve hard, real-world operational problems, not just demo-ware?

Join us for a hands-on session from three practitioners who've built this across logistics, telecommunications infrastructure and robotics manufacturing before bringing it into Microsoft delivery.

What you'll get:

A practical look at where AI genuinely accelerates the SDLC, and where it doesn't
Lessons from operational environments where tools have to hold up under real pressure, not just pass a demo
A T-shaped consultant-developer's view on shipping software that actually solves the business problem, not just the ticket

Speakers:

Jason O'Brien - Path Engineer designing and delivering Power Platform and Copilot Studio solutions for complex, real-world operations. Years inside logistics and transport before moving into technology, building with an operator's mindset.

Nick Kerr-Bell - Path Engineer, consultant and developer building Power Platform and Copilot Studio solutions. Over a decade in telecommunications infrastructure and capital projects, leading design teams and embedding standards and governance.

Jacob Doogue - Co-founder and CTO, leading technical solutioning and consulting and building teams of T-shaped consultant-developers. His path from field engineering to robotics manufacturing to technology strategy gives him a rare cross-functional view, with a focused belief that AI and the Microsoft stack are only as good as the process thinking behind them.

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