We run AI agents for enterprise clients with guardrails, monitoring and human oversight built in from day one. Our multi-model ensemble fire prediction system for the NSW Rural Fire Service operates at 99.99% uptime during peak bushfire season. That reliability comes from engineering AI for production, not prototyping it for demos.

We implement AI and automation where it creates genuine value. We will tell you when traditional software, a well-designed API, or a simpler rules engine is the better answer. For the ABC, we combined Amazon Transcribe with custom NLP models to achieve 90%+ transcription accuracy across 11 million hours of content — but we also told them where human review was still essential.

Multi-model ensemble fire predictions. 99.99% uptime in the most demanding environments. Search reduced from three weeks to milliseconds. 70x improvement in bushfire modelling resolution. AI that works because we engineered it for reliability first and capability second. Every system we build includes automated monitoring, drift detection, and graceful fallback.

Navigate complex data sovereignty requirements with governance frameworks designed from the start, not bolted on after deployment. We build on AWS in Australian regions, implement role-based access controls, and design audit trails that satisfy both technical and compliance stakeholders. Our clients in government and financial services require this as a baseline.