For founders who already paid for automation that failed

You already tried to automate the business.It still isn't working.

Minagents helps Australian founders and directors who already spent on offshore teams, other contractors, or tools that never delivered. We design and build the automation properly so it matches the plan in your head and runs in the real business.

Start a conversationAm I a fit?
Already tried offshoreAlready tried contractorsVision still unfinished

Minh Vo · AI Automation Consultant · Teaching Associate (AI), Monash University

The filter

If this sounds like you, you're in the right place.

This work is for people who already invested and got a bad result. If you are only browsing AI ideas for the first time, we are probably not the right fit yet.

✓

You're in the right place if…

  • You already know what you want automated. This is not a vague idea from a podcast.
  • You have already spent real time and money: offshore teams, other contractors, or tools that never quite worked.
  • Those attempts stalled, broke once live, or never matched the full picture in your head.
  • You run an Australian business (finance, lending, broking, or services) and you are not a software company.
  • You need someone who can design and build the system end to end, not another slide deck or chat demo.
✕

Not for you if…

  • You are only curious about AI and have not tried (or spent on) automation yet.
  • You mainly want the lowest price, even if the work is shallow or offshore again.
  • You already have a full tech team and only need another pair of hands.
  • You want a marketing agency promising “AI-powered growth” without real build work.
Why choose us

Why founders who already got burned still book a call

We do not sell random AI experiments. We rebuild the system that should have worked the first time, with clear rules and a person who owns the outcome.

Start from what failed

Your past spend is useful. We rebuild from the break points, not from a blank slide deck.

Full system, not a demo

Integrations, data rules, reliability, and the product shape you actually need day to day.

Clear rules on data

What the system may touch, what a human still reviews, and what never leaves your environment.

You work with Minh

Melbourne-based. The person who designs, builds, and teaches answers the email himself.

Integrations

Built on tools you already pay for.

Accounting, cloud, models, and data you already trust. We wire them into one system that runs in the real business.

Start a conversation
Process

How we work when the first build already failed.

We start from what you already spent, rebuild the system that should have worked, and only scale once it runs day to day.

Map what failed

We start with what you already tried and where it broke. That context is the brief.

Design the real system

Scope, data rules, integrations, and what success looks like in the live business.

Build, test, harden

Ship a working first version, pressure-test the failure modes, then fix what would break in production.

Prove it, then scale

Measure the first build. Ongoing work only where savings and reliability are clear.

  • ~80% compliance automated
  • 500× cheaper per document
  • Live SME lending work
  • Runs day to day
  • Savings measured first
What you get

Automation that fits the business you already run.

Not a feature catalogue. The pieces that matter when the last build stalled, broke live, or never matched the full picture in your head.

Rebuild from what already failed

We start from the money and time you already spent. Map the break points, keep what still works, and design the system that should have shipped the first time.

Failure mapReuse prior spend
  1. ×Offshore attempt
  2. ×Contractor v1
  3. 3Break points mapped
  4. 4Live system

Integrations that stick

Xero, CRMs, inboxes, lending tools, and your internal sheets wired into one flow, not another disconnected chatbot.

Connected stack
Inbox
Xero
CRM
Agent
Sheet

One flow. No orphan bots.

Clear rules on data and review

What the system may touch, what a human still signs off, and what never leaves your environment.

Access policy
  • Read client docsallow
  • Draft decisionallow
  • Final approvehuman
  • Leave AU regionblock

Production systems, not demos

Durable process state, cost control, and failure handling so the build still runs on a Tuesday when no one is watching the chat window.

Live runHealthy

Uptime

Day to day

Cost / doc

$0.02

Human queue

Exceptions only

State

Durable

Start a conversationSee the numbers
Minh Vo, AI Automation Consultant

Minh Vo

AI Automation Consultant · Melbourne, Australia

Teaching Associate (AI), Monash University

Background

Real credentials. One person who builds.

Not a sales layer. Not an offshore handoff. You get the engineer who teaches AI, ships production systems, and answers the email.

LinkedIn profileminh@minagents.com

  • Teaching Associate (AI), Monash University

    I teach AI at Monash. Useful trust signal for founders burned by vendors without real skill. Monash does not endorse this private practice.

  • Lead Research Assistant for the Dean of FIT, Monash

    Supervised by Professor Ann Nicholson, Dean of the Faculty of IT. Led research delivery on Bayesian network tooling.

  • Lead Agentic AI Engineer

    Production agent systems for Australian businesses: durable process state, tool use, and cost control, not demos that die in week three.

  • Sole trader, Australia

    Invoices and contracts under Duc Minh Vo, ABN 95 244 684 015. Minagents is the trading name.

Results

Work already done in Australian businesses.

Client names and internal systems stay private. The numbers are what matter when you are deciding if this is real.

~80%

Compliance work automated

Built production AI systems that automated most of the R&D grant-eligibility compliance workflow for an Australian services firm, with chat-based tools and durable process state.

500×

Cheaper per document

Cut document processing cost from about $10 to $0.02, and time from minutes to seconds, by testing and fixing AI design choices instead of shipping the first answer.

Live SME work

Lending / broking

Discovery and agent builds for Australian lending businesses: recreate the failures in a safe test setup, fix the root causes, then recommend a path that can actually run day to day.

FAQ

Questions founders ask before they email.

Straight answers on who builds, what we take on, data, and how the first engagement usually runs.

Minh. Not a sales layer, not an offshore handoff. The same person who maps what failed, designs the system, ships the first version, and answers the email.

Yes. That is the main case. We start from what you already spent, map the break points, keep what still works, and rebuild the parts that never matched the full picture in your head.

Scoped against a clear first system, not open-ended hours with no outcome. Discovery is a short conversation. If we are a fit, you get a defined build path, what is in scope, and what success looks like before more money is spent.

We set clear rules up front: what the system may touch, what a human still reviews, and what never leaves your environment. Hosting and model choices follow the risk of your business, not a default demo stack.

No. Teaching Associate (AI) at Monash is a trust signal for skill. Monash does not endorse this private practice. Contracts and invoices are under Duc Minh Vo, ABN 95 244 684 015. Minagents is the trading name.

Depends on the mess we inherit and how clear the first outcome is. The aim is a hardened first version that runs day to day, not a slide deck or a chat demo that dies in week three. Timeline is set after we map what already failed.

Next step

Tell me what you already tried, and what still is not working.

A short conversation. No sales demo. We cover what you wanted, what failed, and whether a proper build is the next step. If we are not a fit, I will say so.

Email minh@minagents.comLinkedIn+61 449 182 740

Minh Vo
AI Automation Consultant | Minagents
Teaching Associate (AI), Monash University