Founder · Phoenix AI · Sydney

I built automation for ASIC and Westpac.
Now I'm putting it on your website.

For years, I engineered process systems at Australia's biggest organisations — cutting a 51-step company onboarding down to seven. Then I noticed small businesses missing leads because they couldn't afford the kind of automation those big companies take for granted. So I built Phoenix AI: an AI chat widget that runs locally, stays private, and works 24/7 so you don't have to.

Get in touch
10+
Years in automation & process improvement
51→7
Steps reduced in ASIC onboarding
6
Major Australian organisations
About
Adam Jenner

I made automation work for the big end of town. Then I wondered why it didn't exist for everyone else.

The most concrete thing I did at ASIC was take a 51-step company onboarding process and cut it down to seven. Nobody else had sat down and asked if all those steps were necessary. So I did.

I did that kind of work for Westpac, ANZ, CBA, IAG, and others. Enterprise systems. Zero room for error. It was good work, but here's what stuck with me: every time a big organisation wanted to modernise, they had the budget, the teams, and the patience. Meanwhile, the local tradie running his trade from a ute was still fielding phone calls after hours, losing leads because nobody answered.

I thought: if I can automate complex enterprise workflows, why couldn't someone put an AI system on their website that answers questions when they're asleep?

The answer was it's too expensive or too complicated. So I built one myself. Phoenix AI is what happens when you take enterprise-grade automation and strip away everything a small business doesn't need — no API keys, no monthly fees, no data leaving Australia.

What I've Built

The systems I've actually shipped.

I don't do consulting. I build tools and ship them. Here's what I've put into the world so far:

Phoenix AI Chat Widget

A single script tag embeds an AI chatbot on any website. It reads your site content, answers visitor questions in real-time, and works locally — no API keys or third-party data processing. Built for Australian businesses that want 24/7 customer support without sending their data overseas.

Multi-Agent Orchestration

I've built and tested multi-agent systems running on consumer hardware — single GPUs, not cloud clusters. The idea is simple: each agent handles one job (researching, drafting, verifying), they coordinate through structured prompts, and the whole thing runs under your control. No vendor lock-in.

Local AI Stack on Consumer Hardware

I run production AI workloads on an RTX 3090 — fine-tuning, RAG pipelines, inference. The Local AI Stack Blueprint documents everything I've learned: hardware choices that actually make sense for small teams, models that fit on a single GPU, and the mistakes I made so you don't have to.

Projects

The thing I've put my name behind.

Everything else I build feeds into this one product. Phoenix AI is the tool I wish existed when I was still consulting — a way for any Australian business to add 24/7 intelligent customer support without the enterprise price tag or the data-export compromise.

Phoenix AI

The AI chat widget that runs locally, answers your visitors 24/7, and keeps their data in Australia.
Writing

Notes from the work.

Technical write-ups, lessons learned, and practical guides from real projects.

March 2026 AI / LLM

Fine-tuning Devstral-Small-2-24B with Claude Opus Reasoning on an RTX 3090

How I distilled Claude 4.6 Opus chain-of-thought reasoning into a 24B code model on a single consumer GPU — seven bugs, a VLM weight extraction, and a transformers 5.x loading bug that took hours to find.

Read the full write-up →
Contact

Got a question about AI or automation?

I'm not here to sell you a consulting engagement. If you've got a specific question about running AI locally, building with multi-agent systems, or how I approached Phoenix AI — write me a line. I read every email and actually reply.

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