Matt SavichPerth, WA / Digital systems

Work inprogress.

Products.
Systems.
Experiments.

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I'm Matt, co-founder of Zero Nine. I build digital systems that put AI to work on real world tasks.

Open selected workPaul / Value / Invoice review / Indy

Software for
real work.

Administration, procurement and personal data.

Paul

01 / The project

People and agents. Working together.

AI agents for recurring admin. Paul works across business tools, runs defined workflows and keeps people in control.

My part

Product direction, system design and implementation

Visit Paul
  1. 01Work arrives
  2. 02Rules checked
  3. 03Agent acts
  4. 04Person reviews

Value

02 / The project

Measure what the work delivers.

Procurement value tracking built on shared definitions, connected operational data and consistent performance reporting.

My part

Analytics engineering and solutions development

Read project context
  1. 01Source data
  2. 02Define value
  3. 03Measure
  4. 04Report

Invoicereview

03 / The project

Check the charge. Trace the evidence.

Agentic invoice validation against contract terms and agreed rates. Built to identify mismatches and focus human review.

My part

System design, data engineering and implementation

Read project context
  1. 01Invoice lines
  2. 02Contract match
  3. 03Evidence check
  4. 04Review exceptions

Indy

04 / The project

Connect the data. Keep the context.

A personal data system connecting services, preserving source records and delivering data to applications.

My part

System design and implementation

Read project context
  1. 01Connected sources
  2. 02Structured records
  3. 03Context
  4. 04Delivery

Put AI
to work.

I turn business processes into working AI systems. At Zero Nine, I lead product strategy, system design and client delivery, combining business knowledge with data and software engineering.

Five years in commercial and procurement. Technical leadership across business systems. Internal consulting and value measurement. I bring that experience to automating administration with AI agents.

From study to practice.

01 / The route
From university study to software engineeringStudies in computer science, then economics and finance, followed by work in administration, analytics engineering and software engineering.01 / StudyComputerscienceStudy02 / StudyEconomics& financeStudy03 / PracticeAdministrationBusiness operations04 / PracticeAnalyticsengineeringData & measurement05 / PracticeSoftwareengineeringBuilding systemsFrom university study to software engineeringStudies in computer science, then economics and finance, followed by work in administration, analytics engineering and software engineering.01 / StudyComputer scienceStudy02 / StudyEconomics & financeStudy03 / PracticeAdministrationBusiness operations04 / PracticeAnalytics engineeringData & measurement05 / PracticeSoftware engineeringBuilding systems

Studies in computer science, economics and finance, followed by hands-on work in administration, analytics and software engineering. At Zero Nine, I bring that experience together to automate administration.

Deep experience in analytics, data engineering, business systems and automation. I build full-stack applications and AI systems, choosing tools to suit the problem.

02 / How the experience comes together
Business, data and software experience combinedBusiness administration helps me understand the work, data engineering connects the evidence, and software engineering builds the system. I combine them at Zero Nine to automate administration with agentic systems.01BusinessadministrationUnderstand the work02DataengineeringConnect the evidence03SoftwareengineeringBuild the systemAt Zero NineAgentic systemsAutomating administrationBusiness, data and software experience combinedBusiness administration helps me understand the work, data engineering connects the evidence, and software engineering builds the system. I combine them at Zero Nine to automate administration with agentic systems.Business administrationUnderstand the workData engineeringConnect the evidenceSoftware engineeringBuild the systemAt Zero NineAgentic systemsAutomating administration
Enterprise experience

A$2.5bnApproximate company-wide annual spend

Technical lead for business systems supporting commercial and procurement teams. A year in internal productivity consulting, evaluating projects and measuring business value.

Experience

2025–presentCo-founder, Zero NineProduct strategy, system design and client delivery.

2019–presentHancock Iron OreAdministration, commercial and procurement analytics, internal productivity consulting, and systems development.

2018–2019Independent digital marketingContent, experimentation and reporting.

2015–2017Electronic music & eventsDirector of Reason Promotions; treasurer, then president of Curtin's Electronic Music Appreciation Society.

Behind
the work.

What I built. What I contributed.

01 / Product / 2026

Paul

I lead product direction and system design, and build the implementation. Paul connects email, incoming requests and scheduled work with agent execution and human review.

Explore Paul
02 / Analytics / 2023–2024

Value

I built shared value definitions and reporting for procurement teams to track outcomes consistently across operational systems. The work combined data integration with value measurement in Power BI, SQL, Python and Databricks. Internal data and interfaces remain private.

03 / Agentic validation / In development

Invoice review

AI proposes matches between invoice charges and contract rate lines. Confirmed mappings can be reused, while pricing is checked with deterministic calculations. I am extending the validation to supporting records, including swipe-card data, to give reviewers the evidence behind each exception. In development.

04 / Data systems / In development

Indy

I am building Indy from the data connections through to storage and delivery. One system for collecting personal data and making it available to applications. In development.

Working
notes.

Building with AI. Engineering the data. Making it work in a business.

2026-09-05

Free Game

My agent setup, the skills behind it, and a practical way to get better work from cheaper models.

2026-09-05

Give administrators better work

AI can handle routine administration. The bigger opportunity is giving administrators control over exceptions, quality and how the work gets done.