Sydney IT Networking Professional Associations Meetup Group

Your AI agents are only as reliable as the data context underneath them. Learn to set up architecture, governance, and operational processes
Your AI agents are only as reliable as the data context underneath them. Join us for a hands-on half-day workshop where you'll learn — and practise — the architecture, governance, and operational patterns that separate AI pilots from AI in production.

Is Your AI Ready for Production — Or Just Your Demo?
You've built the agent. You've run the pilot. It works beautifully in the sandbox. Then it hits real enterprise data — and it hallucinate schemas that don't exist, surfaces sensitive customer records it shouldn't touch, and breaks the moment a column changes upstream. Sound familiar?
The problem isn't your model. It's the data foundation underneath it. AI agents fail in production not because of model quality, but because they lack the context to make trustworthy decisions: they don't know what data exists, what it means, how reliable it is, or what governance rules apply to it.
This workshop fixes that. In four focused hours, you'll move from understanding the problem to having hands-on experience with the platform, tools, and patterns that make AI agents production-ready.

How scale AI with transparency, accountability, governance, and compliance
Join us to explore a best-practice model for adopting and scaling real-time enterprise AI with confidence and control. We will examine how agentic orchestration can coordinate AI, workflows, data, and applications across diverse enterprise systems while embedding the transparency, accountability, governance, and compliance needed for responsible adoption.
This session is designed for leaders looking to move beyond isolated AI experiments and build a scalable operating model that accelerates business outcomes without compromising trust, risk management, or regulatory confidence.
Note: attendees must bring their own devices to participate in labs!