AI consulting that ends in production
AI consulting that ends with a system your team uses every day.
AI consulting is working out which jobs in your business AI should take on, which it should leave alone, and what each one costs to run, then building it. We are a Brisbane team that builds on Claude, answers the security questions before anything is built, and puts the system into production with a log of every run.
We have been building revenue systems for Australian companies since 2015 and have worked with 300+ businesses. Your PM is your builder: the person who scopes the job is the person who builds it. Below is how an engagement runs, what decides the cost, where your data goes, and how to judge any AI consultant, including us. How we build, the method and the engineering, is on AI engineering.
Last checked October 2026.
How many Australian businesses actually use AI?
Fewer than the vendor decks suggest. The Australian Bureau of Statistics found 22% of medium-sized businesses used AI in 2024-25, up from 3% three years earlier. Large businesses went from 9% to 35%. Small and micro businesses sat at around 11%.
The gap between using a chatbot and running a system is where most of the work sits. We unpack the numbers in what AI adoption in the Australian mid-market really looks like.
What does an AI consultant actually do?
A useful one does four things, in order, and you can stop after any of them. Ours run in the same order every time.
| Stage | What happens | What you get |
|---|---|---|
| Blueprint | We find the jobs your team keeps working around, then answer three questions for each: what happens when it is wrong, who gets to see which data, and what it costs each month at real volume. | A written plan, with the running cost worked out from your own numbers, before any build. |
| Prototype | The first job is built and run beside the people who do it now. Your team grades its output against real cases, including the ones that went wrong. | A pass mark agreed up front, and evidence it meets it. |
| Build | Prompts treated as code, tools given only the access the person asking already has, and a written action policy for anything that changes a record. | A system in production for a small group first, with a way to roll it back. |
| Run | Every call logged with its cost. Tests rerun when the model, the prompt or your process changes. | Your team runs it with the runbook, or we do on a stated monthly scope with a named person. You own what we build. |
The longer version of each stage is on custom AI systems and AI agents, and how we test before launch is in how we test an AI agent before it goes near a customer.
How much does AI consulting cost in Australia?
Always ask for two numbers: what it costs to build, and what it costs to run each month afterwards. AI charges per unit of work, so a system handling 200 records a month and one handling 200,000 can cost the same to make and a thousand times more to run. We work the running cost out from your own document counts and query rates and show you the monthly figure before we build. As a guide from our signed engagements, all ex GST: a blueprint runs $8,000 to $10,000 a month, a prototype $15,000 to $25,000, a build $20,000 to $50,000, and running it $8,000 to $15,000 a month. Claude usage is passed through at cost.
| What moves it | |
|---|---|
| Build cost | How many systems it touches. Whether your data is ready. How wrong it is allowed to be, because a system that drafts for a person to approve costs far less than one that acts alone. Whether anyone has to explain its decisions. |
| Monthly running cost | Volume, above everything else. Then which model each step uses: we use a larger model for hard reasoning and a smaller, cheaper one for routine work like drafting an email. |
| Costs a quote often leaves out | Building and maintaining the test set, retesting after model changes, the staff time spent approving items, and rework when the data turns out worse than assumed. |
If the volume is too low for AI to pay its way, we will say so. Sometimes the right answer is a plain workflow with no AI in it.
Where does your data go, and who can touch it?
Most AI pilots stall the day IT asks this, so here are our answers up front.
- Same access as the person asking. We use your platforms as authorised users with the least access the job needs, and revoke it when the project ends. Wherever the platform allows it, an agent inherits the user’s permissions.
- A key of your own. Every client tool that uses AI gets a dedicated API key, scoped to that client. No client’s data is used to train or fine-tune any model.
- A written action policy. Routine steps run and are logged. Sensitive ones notify a person. Anything irreversible waits for a human to say go.
- Working copies in Sydney. Your CRM stays where your data is kept. If a tool needs a working copy of some records, it sits on a Neighbourhood server in Sydney, separate for each client, and is deleted or returned within 30 days of the engagement ending on written request.
If a system sends personal information to a model hosted overseas, that is a cross-border disclosure under Australian Privacy Principle 8, and your privacy policy should say so. We cover it in where your data goes when you use AI, and the security side in what the ACSC says about securing AI. Hosting, subprocessors and our incident plan are on the Trust Centre.
What have we built for clients?
| Client | The job | Where a person stays in |
|---|---|---|
| Plungie | Briefings written from Plungie’s own HubSpot and sales data, for its teams in Australia and the US. Sales gets a short brief on each buyer before the call, and leadership gets the business picture in plain English. | People read the brief and decide what to do with it |
| NHFA | A regular briefing on the business, written from NHFA’s own data, synced into a warehouse we built and run for them, so it reads from one place instead of five. | The briefing informs decisions; it changes no records |
| Flint | A fact-find that reads the documents a borrower uploads, pulls the details into the loan record, and flags anything that does not match. | A broker checks the flags and signs off before anything moves |
Plungie’s briefings have gone out since April 2026 in Australia and since June 2026 in the US.
Where you run HubSpot, we also set up HubSpot’s own AI, Breeze agents and Breeze Assistant, against a job your team can name. More on that in Claude for business in Australia and our guide to Breeze credits or your own API key.
How do you choose an AI consultant in Australia?
Ask every firm on your list the same questions, us included. The answers sort the field quickly.
| Ask | A good answer | A red flag |
|---|---|---|
| Can you show me a system still running in production? | A named build, what it does, and how long it has been live | Demos and pilots only |
| What will it cost to run each month at our volume? | A figure worked from your numbers, before the build | A build price and silence on running cost |
| What happens when it is wrong? | A review queue, a log of every run and a way to roll it back | “It is very accurate” |
| Where does our data go? | Named hosting, least access, no training on your data, and an answer on APP 8 | “It is all secure” with nothing in writing |
| Who maintains it after you leave? | A runbook and training for your team, or a stated monthly scope, and you own the code | Nobody has thought about it |
On ownership specifically, read who owns the AI system after we leave.
Is there an AI consultant in Brisbane?
Yes. Neighbourhood is based in Teneriffe, Brisbane, and the whole crew is onshore. We work with businesses across Australia and New Zealand on AEST, and you are welcome to visit before you sign. We also run Brisbane’s official HubSpot User Group, which is a good room to meet people who have already put AI to work in their CRM.
If HubSpot sits under your AI plans, our HubSpot partner page covers the Brisbane team and how we work.
Read next.
Guides from the team on AI cost, governance and getting a build past the security review.
- Choosing an AI implementation partner in Australia
- What a custom AI build costs an Australian business
- Five checks we run before an agent touches your CRM
- Can you undo what an AI agent just did?
- A one-page AI policy you can actually use
- Which Australian AI framework applies to you
- The Privacy Act change landing on 10 December 2026
- The AI security questionnaire your buyer will send
- Custom AI systems and AI agents, built on Claude
- Claude for business in Australia
What people ask before an AI project.
What does an AI consultant do?
Works out which jobs in your business AI should take on, which it should leave alone, and what each one will cost to run. A useful one then builds it. Ours starts with three questions, what happens when it is wrong, who sees which data and what it costs each month, and ends with a system your team uses every day.
Do you build it, or just advise?
We build it and put it into production. The person who scopes the job builds it. Before we start, we agree who maintains it: your team, with the runbook and training, or ours, on a stated monthly scope with a named person on it. You own what we build.
How much does AI consulting cost in Australia?
It depends on the job and the volume, so ask for two numbers: the build cost and the monthly running cost at your real volume. We work the running cost out from your own document counts and query rates and show it to you before we build. As a guide from our signed engagements, all ex GST: a blueprint runs $8,000 to $10,000 a month, a prototype $15,000 to $25,000, a build $20,000 to $50,000, and running it $8,000 to $15,000 a month. Claude usage is passed through at cost.
Which AI do you use?
We build on Claude: commercial Claude plans for the people doing the work, and the Anthropic API behind the AI inside the tools we build. Where you run HubSpot, we also set up Breeze. Sometimes the right answer is no AI at all.
Is our data used to train the model?
No. No client’s data is used to train or fine-tune any model. Each client tool that uses AI gets its own API key, scoped to that client, and your data is not visible to any other client’s instance.
Will AI replace our team?
It takes the re-keying, the chasing and the checking. Your team grades its work before it goes live, and anything it is unsure about goes to a person first.
Do we need HubSpot?
No. The AI plugs into the systems you run: your CRM, shared drives, inboxes and documents. If you do run HubSpot, we are a HubSpot Diamond Partner and set up Breeze beside what we build on Claude.
Is there an AI consultant in Brisbane?
Yes. Neighbourhood is based in Teneriffe, Brisbane, with an onshore crew working on AEST for businesses across Australia and New Zealand. You can visit before you sign.
Tell us the job you want AI to take off your team.
A few lines is enough. You will get a human reply within one business day, and the person who scopes it is the person who builds it.
Got it, there.
We will be back to you within one business day. Rather not wait? Pick a time with Matt below and skip the email round, or call 1300 71 61 41.