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Agents After Dark: Shipping Agents, The Production Playbook. Sydney

Agents After Dark: Shipping Agents, The Production Playbook. Sydney

About

The "AI Summer" of experimentation is evolving into a winter of deployment reality. For most teams, the bottleneck isn't the model; it's the Enterprise Gap. How do you take an agentic prototype and wrap it in the security, identity, and governance required by a regulated industry?

We are bringing together the people actually building this infrastructure to share "Field Reports" from the front lines. This is a curated, semi-technical session designed for founders, engineers, and product leaders who are tired of the "hype" and want to discuss the actual architecture required to ship.

Event Schedule

  • 5:30pm - Arrivals & Networking: Doors open for drinks and conversation with builders and product leaders
  • 6:00pm - Kickoff & Intro: Matt Doughty, CEO of Prefactor, on why the gap between AI prototypes and production is the next big challenge for teams
  • 6:10pm - The Production Briefing: Josh, Senior Engineer at Prefactor, on the technical hurdles of agent identity and infrastructure
  • 6:20pm - Deepesh Sharma, (Fintech): Head of AI and Data at Spriggy, on the reality of scaling AI in regulated enterprise environments
  • 6:30pm - Practical Perspective (Cloud): TBC, on secure architecture and cloud adoption patterns for AI
  • 6:40pm - Q&A: Open discussion with all speakers on real-world patterns and deployment hurdles
  • 7:15pm - Networking: Continued time to connect with the room
  • 8:00pm - Close

Why we're gathered

We're bringing together people who are moving beyond the experiment phase. This isn't a tech-only meetup or a high-level sales pitch; it's a focused session on the actual architecture and security required to ship agentic products in a professional environment.

Hosted by: Prefactor, the agentic control plane.

Track, manage and control agents across your enterprise.

Location

Level P/24 Campbell St, Haymarket NSW 2000

Tags

AI Agents, Agent Infrastructure, Model Context Protocol, MCP, Agent Identity, Agent Governance, AI Engineering, Developer Tools, AI Infrastructure, Sydney Tech