AI & automation in Brisbane
We build AI into a defined workflow: answering questions from your documents, drafting structured content or moving information between systems. Each use has a clear job, a way to measure it and limits around it. Our own product, Kova, is built exactly this way.
AI & automation
Assistants for customers or staff that answer from your own content, hand over to a person when they should and stay within the topics you set.
Customer assistants · Staff assistants · Human handover
Learn moreAsk questions across policies, manuals, contracts or knowledge bases and get answers that cite the source document.
Retrieval · Source citations · Knowledge bases
Learn moreRemove repetitive steps: sorting enquiries, pulling details out of emails and forms, and updating the systems that need them.
Enquiry triage · Data extraction · System updates
Learn moreLanguage models added to an existing product or internal tool. Kova, for example, reads Figma designs and writes structured Jira tickets and Confluence specifications.
Existing products · Structured output · Model selection
Learn moreTest sets, output checks and usage limits, so you know how accurate the AI is before it reaches customers, and that it stays accurate after changes.
Evaluation sets · Output checks · Usage limits
Learn moreHours, prices, what’s included, how long it takes. An assistant restricted to your own information can handle these around the clock.
New enquiries, orders or bookings re-typed by hand. Automation can pull the details out and put them where they belong.
Policies, manuals, contracts and past projects. Document search answers the question and shows where the answer came from.
An automation can sort, route and draft a first reply within minutes, even after hours.
The fix is restricting it to approved content, testing it properly and handing over to a person when it should.
Often the problem is that the tool was bought before the job was defined. We start with the job.
| General AI subscription | Off-the-shelf chatbot or AI tool | Custom assistant or automation | |
|---|---|---|---|
| Typical cost | $30–$50 per person a month | $50–$500 a month | A fixed quote to build, plus usage |
| Answers from your information | Only what you paste in | Partly, within the tool’s limits | Yes, and only from it |
| Connects to your systems | No | Some | Yes |
| Tested for accuracy | No | Rarely | Yes, before launch and after changes |
| Data handling | Depends on the plan | Vendor’s terms | Chosen to suit your data |
| Best for | Drafting and research by staff | Standard use cases | Specific, repeated jobs in your business |
What you get
The code and intellectual property transfer to you on final payment, into your own repository.
Every build is handed over with documentation, so your team or another developer can maintain it.
A written agreement defines what we maintain after launch and the response times you can expect.
How it runs
Fixed scope and price before work starts, working results to review at every stage, and one team from first call to launch.
Week 1
We pick one task, measure how long it takes today, gather real past examples and agree what a good result looks like.
Weeks 2–3
The automation or assistant built on your content and connected to your tools, with guardrails, usage limits and a hand-over to a person.
Week 3–5
Tested against 20 past examples for automations, or 50 real questions for assistants. You see the accuracy results before anything goes live.
Week 4–6
Live with a person reviewing the output at first, then 30 days of tuning as real use shows what to improve.
Packages
Every project is priced on its scope, with a fixed quote after a free 30-minute call, before any work starts.
Each connected tool adds setup, testing and failure handling.
A few pages is quick. Hundreds of documents need structuring and more testing.
Drafts for staff to check cost less to make safe than answers that go straight to customers.
Usage costs grow with use. We estimate them up front and set a monthly cap.
Example: Kova
Kova is our own product. It reads a design and writes structured Jira tickets and Confluence specifications from it, the kind of narrow, well-defined job where AI saves real hours and its output can be checked before anyone relies on it.
Read the case studyRelated work
Free guide
A free guide to the seven reasons small business websites don't bring in work, with a two-minute check and a practical fix for each. What's inside
Questions
AI work is priced on its scope: how many systems it connects to, how much content it answers from and who sees the output. AI usage is a separate running cost, which we estimate before you commit and cap each month. You get a fixed quote after a free 30-minute call, before any work starts.
Automation: usually 2–3 weeks; AI assistant: usually 4–6 weeks. We confirm the timeline with the quote, before any work starts.
Most of the value is in narrow, repetitive work: answering common questions, sorting and summarising enquiries, drafting documents from a template and pulling details out of emails and forms.
Each build includes a test set of real questions or past examples with known answers. We measure against it before launch and again after every significant change, and share the results with you.
We choose providers and settings to suit the data involved, limit what the model can access and keep sensitive information out where it is not needed. See our article on the risks of using AI in business.
Usage costs from the AI provider, usually $10–$100 a month for an automation and $20–$200 for an assistant at small-business volumes. We estimate them before you commit and set a monthly cap.
Yes. Most products can take an AI feature through their API or database, without being rebuilt.
That is rarely the result. It removes the repetitive part of a job so people spend their time on the work that needs them.
More services
Enquire
Tell us what you are working on and what you need. An outline is enough to start. We reply within one business day.
Prefer email? hello@vareonhq.com
