AI agents
Agents that take actions, not just chat: look things up, call your tools and APIs, and complete multi-step tasks with the right guardrails and human hand-off.
AI workflow automation and AI agents for business
We set up the language models, AI agents and n8n workflows that do the reading and drafting your team does by hand: triaging enquiries, pulling data out of documents, answering from your own files and drafting replies for a person to approve. Fixed quotes, owned by you, running on your stack.
Runs on your own accounts
No lock-in: you own the workflows
Fixed quote, Melbourne-based
Australian team
Based here, working your hours, not a timezone away
144+
projects delivered
Over 10+ years building and maintaining sites for Australian businesses
One developer, start to finish
The same person every time: no re-explaining your site
Straight answers, on your terms
We only take work we can finish. Ask us anything first: no obligation
What is AI workflow automation?
AI workflow automation is an ordinary automated workflow with a language model doing one or two of the steps that used to need a person: reading an email to work out what it is about, pulling details out of a PDF, writing the first draft of a reply. Everything around that step, such as the trigger, the CRM update and the notification, stays plain rule-based automation that behaves the same way every time.
AI agents go a step further. The model is given tools, such as a search of your knowledge base or a lookup in your CRM, and decides which to use to finish a task. Agents are capable but harder to predict, so we use them where the task genuinely varies, and keep a person in the loop for anything that spends money or contacts a customer. Work starts from $300 AUD.
What we build with AI
Practical AI agents for business, not demos. Each of these is something we scope, quote and ship for Australian businesses.
RAG assistants on your data
Chatbots and internal assistants that answer from your documents, site and knowledge base: retrieval-augmented so they cite real sources instead of hallucinating.
LLM integrations & custom GPTs
Wire a leading language model into the tools you already use: summarise, classify, extract and draft inside your CRM, inbox, docs or app via clean, monitored API integrations.
n8n AI workflows
Self-hosted n8n automations with AI nodes at the centre: trigger on a form, email or webhook, let the model decide, then act across 400+ connected apps.
Lead & inbox triage
AI that reads incoming enquiries, classifies and routes them, drafts a first reply, and logs everything to your CRM, so nothing sits unanswered overnight.
Guardrails, hosting & support
Prompt design, cost controls, logging, evaluation and safe fallbacks, plus hosting and a care plan so your AI keeps working after launch, not just on day one.
Your AI, running on workflows you own
We build on n8n (the self-hostable automation platform) so your AI logic lives on your own server, not locked inside someone else's SaaS. Connect 400+ apps, drop in AI nodes for the thinking, and keep full control of your data, costs and the workflow itself.
- Self-hosted or cloud: your data stays yours
- No per-task SaaS fees ballooning as you scale
- Model-agnostic: commercial or open-source models, swappable
- Handed over with docs: your team can edit it
Where businesses put it to work
The places we are most often asked to add AI first.
01
Customer supportAnswer FAQs and order questions from your real docs, including outside business hours, with escalation to a human when it matters.
02
Sales & lead qualificationScore and route incoming leads, enrich them, and draft the first personalised follow-up automatically.
03
Content & opsSummarise, tag and repurpose content; generate reports; turn messy inputs into structured data.
04
Internal knowledgeA private assistant your team can ask (policies, SOPs, past projects) grounded in your own files.
An AI agent, a workflow, or no AI at all?
The cheapest reliable option wins. This is how we decide which kind of AI automation a task needs, if any.
01
A fixed workflowWhen the steps are the same every time and only one of them needs reading or writing. This covers most requests, and it is cheaper and easier to test.
02
An AI agentWhen the path changes from case to case, such as researching an enquiry across several systems before drafting a reply. We give it a narrow set of tools and log every action it takes.
03
No AIWhen a rule will do. If a form field or keyword already tells you what something is, a model only adds cost and a chance of error. That rule-based work sits under our business automation services.
04
A website chatbotWhen the reading happens in a live conversation with a visitor on your site. That is its own service: AI chatbots for business websites.
How much does AI workflow automation cost?
Adding a single AI step to an existing workflow starts from $300. A new workflow with AI at its centre, or an agent with access to your tools, is fixed-quoted after a short prototype, and larger multi-system builds go up to $15,000. Every quote states the build price and an estimate of monthly model usage.
One AI step
A model added to a workflow you already run, such as classifying incoming enquiries or summarising form entries, with logging and a fallback. From $300.
Prototype, then build
A working proof on a sample of your real data, so you judge the quality before committing to the full build. The prototype and build are priced together in one quote.
Running costs
Model usage is billed per request by the AI provider, normally to your own account. We set spending limits and estimate the monthly cost from your volume. Changes after handover are $100 an hour.
How we ship it
Small, proven scope first, then expand once it's earning its keep.
Step 01
Find the use caseWe pick one high-value, well-bounded task where AI clearly saves time or wins revenue.Step 02
Prototype fastA working proof on your real data in days, so you see the value before committing to the full build.Step 03
Harden & integrateGuardrails, logging, cost limits and evals, wired into your tools via n8n and clean APIs.Step 04
Launch & supportHandover with docs, then a care plan to monitor quality, cost and uptime as usage grows.AI workflow automation questions
What businesses ask before starting an AI project.
Which AI models do you use?
We are model-agnostic and use the best fit for the job, usually the leading commercial language models, plus open-source models where privacy or cost calls for it. Because we build on n8n, the model can be swapped later without rebuilding your workflow.
How much does AI workflow automation cost?
Adding one AI step to an existing workflow starts from $300. Larger builds with agents or several systems are fixed-quoted after a prototype and go up to $15,000. Model usage is billed separately by the AI provider, and we estimate it in the quote.
What is the difference between an AI agent and an AI workflow?
A workflow follows fixed steps and uses a model for one task within them, such as classifying an email. An agent is given tools and decides which to use to finish a task. Workflows are cheaper and more predictable, so we use agents only where the task genuinely varies.
Will the AI make things up?
We reduce that with retrieval-augmented generation, where the model answers from your actual documents and cites them, plus validation and a human hand-off for anything uncertain. No AI system is perfect, so we design for safe fallbacks rather than blind trust.
Is my data safe? Where does it run?
We build on self-hostable n8n, so the workflow and your data can run on your own infrastructure. We use business API tiers that do not train on your data, and we agree exactly what is sent to any model before building.
What does AI automation cost to run each month?
Two parts: hosting for the workflow, if self-hosted, and model usage, which is usually small per task. We add cost limits and monitoring so spending stays predictable, and we estimate running costs as part of the quote.
Do I need a large budget to start?
No. We start with one bounded use case and a fast prototype so you can see the value before scaling. It is fixed-quoted, and you own everything we build.
Can you build AI automation for businesses outside Melbourne?
Yes. We are a Melbourne-based team, so we build AI workflow automation for businesses anywhere in Australia. We are open all week, 9 to 5 AET.
Got a task AI should be doing for you?
Tell us the workflow you'd hand off. We'll tell you if AI is the right tool and come back with a fixed quote.