Building the Future of AI Automation — Sydney

I build the systems that automate your success.

From enterprise-scale automation to practical AI solutions for growing businesses. I bridge the gap between complex technology and real-world results.

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

Enterprise expertise, applied where it matters most.

For over a decade, I've worked with some of Australia's largest organisations — Westpac, ANZ, CBA, IAG, ASIC, and Insignia — delivering large-scale automation, real-time dashboards, and technology projects that changed how teams worked.

Today, I'm applying that same rigor to the next frontier: AI. As the founder of Phoenix AI, I'm building tools that make intelligent automation accessible to everyone, not just the giants.

I believe the best technology doesn't add complexity — it removes it. Whether it's a 51-step onboarding process or a customer support workflow, there's always a better way.

Westpac ANZ CBA IAG ASIC Insignia EML
What I Do

Process improvement meets AI.

I sit at the intersection of business analysis and emerging technology — finding bottlenecks and building systems that eliminate them.

Process Mapping & Analysis

Finding the waste, redundancy, and manual steps that slow teams down — then designing the fix.

RPA & Workflow Automation

Building robotic process automation and workflow systems that replace repetitive manual tasks.

AI Solutions

Practical AI applications — chatbots, automated follow-ups, intelligent document processing — built for real business problems.

Projects

Beyond the day job.

I'm passionate about making AI and automation accessible to businesses that need it most — especially small businesses and trades who are drowning in admin and missing opportunities.

Phoenix AI

The AI Agent that turns your website into a 24/7 sales machine.

AI Chat Widget — $10/mo Special

Deploy a custom-trained AI expert on your site in seconds. Answers visitors 24/7.

Writing

Notes from the work.

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

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

Let's talk.

Whether you've got a process that needs fixing, a question about AI, or just want to connect — I'm always up for a conversation.