Industrial‑Grade Intelligence: Scaling AI from Isolated Pilots to Core Operations

Industrial‑Grade Intelligence: Scaling AI from Isolated Pilots to Core Operations

Industrial‑Grade Intelligence: Scaling AI from Isolated Pilots to Core Operations

Society Restaurant, Melbourne, Australia

Hosted by Factor

Overview

Moving beyond static architectures so critical systems stay modern by design

Recent research shows a growing execution gap in enterprise AI. McKinsey’s State of AI 2025 report finds that while a majority of organisations are experimenting with AI and agents, only a minority have scaled even a single agentic capability into production. Thoughtworks’ Beyond the Bottom Line: Unlocking AI’s Top-Line Growth report shows a similar pattern in Australia: intent and experimentation are high, yet production‑grade, system‑level AI adoption lags global peers, held back more by architecture and operations than by ambition or talent. Complementing this, Factor’s 2025 CIO research highlights a disconnect between perceived modernity and operational reality: many organisations describe their platforms as “modern”, but few feel confident they can see, diagnose and act coherently across systems in real time.

The issue isn’t access to models or ideas; it’s that most platforms were built for human‑driven workflows and periodic change. In that world, software starts to decay as soon as it’s deployed, accumulating debt and operational friction. In an AI‑driven environment, systems need to stay modern by default: business logic, data and controls must be structured so intelligence can be applied safely and continuously. That’s the difference between experiments and AI that works in day‑to‑day operations.

This closed‑door roundtable brings senior technology leaders together to explore how to apply AI pragmatically to core operations. Moving beyond copilots and hype, we’ll focus on the data, observability, platform design and operating models required to build systems that improve with use , without compromising reliability, compliance or trust.

Discussion topics

Why even “modern” platforms degrade over time — and what it takes to move from static architectures to regenerative platform design.

The architectural mismatch between today’s enterprise systems and AI agents operating at machine speed.

Extracting and structuring business logic so platforms can evolve without repeated rebuild cycles.

Moving from passive observability to intelligence‑ready platforms that enable safe diagnosis and optimisation within clear guardrails.

Breaking the build–run–rebuild loop to establish a continuous operational heartbeat that improves reliability and delivery velocity.

What to expect

Agenda

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