Beyond the pilot: How trusted data and MCP make AI work in production

AI agents are moving quickly from experimentation to real operational use. But most still hit the same problem: they cannot reliably access the trusted, real-time data they need to make decisions and take action inside regulated workflows.

InfoTrack has spent more than two decades building secure, compliant connections to government and authoritative data sources across Australia. Now, through Model Context Protocol (MCP), that same trust foundation is being extended into the AI era.

This session is for startup founders, platform builders, CIOs, CTOs, architects, and digital leaders who are thinking seriously about how to make AI useful in production, not just impressive in a demo.

You will hear how InfoTrack is:

• moving from static API integrations to governed AI workflows
• enabling AI agents to work with trusted, authoritative data
• building an MCP gateway, reusable patterns, and a developer sandbox
• applying this model beyond legal into sectors such as financial services, insurance, energy, and enterprise operations

It is a practical discussion about architecture, trust, workflow design, and what it takes to operationalise AI in high-stakes environments, not a product pitch.

What attendees will take away

• A practical view of why trusted external data matters
• A real-world explanation of MCP beyond the acronym
• A stronger view of where partnership and co-design opportunities exist
• Examples of how regulated workflows in sectors beyond legal can be redesigned for AI

Info: Grab a drink, get settled in, admire the view and start some conversation

Know what’s Happening Next — before everyone else does.

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Host or Publisher InfoTrack