AI is a Formula 1 car. Extraordinary, powerful, and absolutely capable of causing damage if there isn't a skilled human at the wheel. The car doesn't win the race by itself. It needs someone who understands the machine, who can push it to the limit without crashing it into a wall.
That's the skill. That's what I do.
The Short Version
I'm Chris Peters — an AI Engineer and Solution Architect based in Sydney, Australia. I design and deliver generative AI solutions through Azure AI services within regulated enterprise environments. From strategic roadmap and proof-of-concept through to production.
I've spent 25 years building enterprise software systems — from .NET platforms to cloud-native architectures on Azure. The last chapter of that journey took me through Abbott Laboratories (17 years, Chicago and Sydney), Macquarie Group (7 years, rising to Director), and now into AI Engineering consulting.
What I Bring
At Macquarie, I led two enterprise services with a 25-member team supporting 25,000+ employees globally. I learned how to balance the good-fast-cheap equation. When to hire people versus when to extend timelines or defer work. How to make the tough calls and do the right things at the right time.
Now I apply that judgement at speed — helping organisations who need experienced AI leadership to catch up. Not by throwing money at the latest model, but by knowing where to spend and where to save.
What I Look For in a Client
On Brand — A client driven by purpose, by an unquenchable need to deliver their vision. Not one simply chasing a stock price.
On Time — A client who sees AI and automation as a key enabler for going faster. Not a culture of slow delivery waiting for permission.
On Budget — A client where constraints drive quality, not just frugality. Cloud services and LLM providers are happy to vacuum up budgets. With the right experience, a realistic budget goes a very long way.
The Track Record
- Designed and delivered a GenAI-powered invoice processing application — reducing AI cost by 90% and human effort from 3 hours to 5 minutes per invoice
- Reduced application packaging wait-times by 90% (6+ months to 3 weeks) through AI-augmented workflow redesign
- Integrated 4 major endpoint management platforms into a unified automation pipeline across tens of thousands of devices
- Closed a decade-old high-rated risk in 9 months, retiring or uplifting 650+ applications
- Automated license reclamation saving $700K in the first six months