AI Engineer Melbourne 2026 — Leadership (Day 1 Afternoon)

Regulatory AI represents the next evolution of financial systems, where compliance, risk, and governance are no longer external constraints, but embedded, intelligent capabilities within the platform itself.

This session showcases the design and implementation of a Regulatory AI framework developed across the Accelerate Funding Group and the Finteon OS platform. The approach integrates AI-driven data ingestion, real-time decisioning, and adaptive compliance models to support private lending, capital structuring, and broker ecosystems.

By combining structured financial data, unstructured regulatory inputs, and AI orchestration layers, the platform enables:

Automated compliance alignment (ASIC/APRA-aware)

Intelligent product matching and credit assessment

Real-time risk monitoring and auditability

Scalable broker and funder workflows

The result is a shift from reactive compliance to proactive, embedded regulatory intelligence, thereby unlocking faster deal execution, reduced risk, and new monetisation pathways in private credit markets.

Balram Singh is a frontend-focused full-stack engineer and architect with over a decade of experience building web and mobile applications. He currently works at Publicis Sapient in Australia, delivering large-scale digital solutions across enterprise clients. His current focus is on applying AI beyond development speed — using real production data to solve marketplace challenges such as fake bookings, cancellation patterns, and driver–ride matching. He is particularly interested in how small teams can leverage AI to build, operate, and scale complex systems traditionally requiring much larger organizations.

Inga Pflaumer shares how a pre-seed startup without technical leadership was able to quickly build and iterate on their product using AI without sacrificing safety, focusing on setting up the right foundations and lightweight guardrails so non-technical founders could experiment independently while staying within secure and scalable boundaries.

The result was a team able to move fast with confidence, turning AI from a risky shortcut into a reliable way to build.

A moderated conversation closing the L2 Case Studies session. AJ Fisher leads a discussion with Theo Adis, Balram Singh, and Inga Pflaumer about what it really took to ship AI into live businesses across regulated finance, transport, and agent tooling.