Last updated June 2026

AI automations that give your team its time back

We automate the repetitive grunt work that eats your week, wiring AI into the tools you already use, so your team spends its hours on the work that actually grows the business.

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Key Takeaways

Most teams lose 8 to 15 hours a week to copy-paste admin: chasing data between apps, re-typing the same emails, building the same reports. That is the first thing we automate.
A single automation usually pays for itself inside the first month or two, then keeps saving you the same hours every week after that.
64% of Australian small and medium businesses now use AI regularly, up from 39% in mid-2024 (AI Lab Australia State of AI Adoption in Australian SMBs 2026). The teams winning are the ones turning it into working systems, not chat windows.
We build on the tools you may already pay for: Make, Zapier, n8n, Microsoft Copilot Studio, ChatGPT, Claude and the OpenAI API, plus custom code when a workflow outgrows no-code.
Every build ships with error handling, a clear audit trail and a human in the loop for anything customer-facing, so the automation is reliable, not a gamble.

What is AI Automations?

AI automation is connected systems that take repetitive knowledge work off your team's plate. Picture an agent that reads a new enquiry, pulls the customer's history from your CRM, drafts a tailored reply, books the follow-up and logs the lot, all before anyone has opened their inbox. It is not a chatbot bolted onto a website. It is the boring, repeatable work your team does every day, done automatically and reliably in the background.

We start by watching how your team actually works, not how a process doc says it works. Then we find the handful of tasks that cost the most hours and are the easiest to hand to software: quoting, onboarding, data entry between apps, report building, inbox triage, scheduling, invoice chasing. We build those first, prove the time saved, and expand from there.

The point is simple: your people are expensive and your week is finite. Every hour a skilled staffer spends copying numbers between two systems is an hour they are not spending on customers, sales or the work only a human can do. Automation buys those hours back, without adding headcount.

Why Australian Businesses Need AI Automations

Three things make automation the cheapest growth lever available to most Australian businesses right now. The first is the sheer cost of manual admin. Wages keep climbing: the Hays Salary Guide FY25/26 reports Australian tech salaries grew 9.6% year on year. Every manual hour a senior staffer burns on work software could do costs more this year than last. Automation is the cheapest way to absorb that pressure without losing capability or hiring.

The second is speed of payback. A well-scoped automation is not a moonshot. We can usually map a workflow in a week and have it running inside a month. Because it saves the same hours every single week, the maths is unusually friendly: the build pays for itself fast, then keeps paying. The Business Council of Australia's AI Opportunity Report 2025 projects smaller firms will see productivity grow 22% faster than large firms through 2030, precisely because they can rebuild a workflow in a week where an enterprise takes a quarter.

The third is that the bar has moved. Coles runs AI making 1.6 billion predictions a day across 850 stores. Atlassian ships no-code AI agents inside the tools millions of teams already use. Your customers' expectations of speed and responsiveness are being set by businesses like these, whether you like it or not. Matching that pace does not take an enterprise budget; it takes the right two or three automations in the right places.

The good news for smaller teams is that you have less to untangle. You can act this quarter and feel the difference in your week, not in three years. That is the advantage we build around.

“Our research shows Australian businesses reported an average revenue growth of $361,315 for each AI-enabled solution that was implemented, regardless of which part of the business these efforts were targeted.”
- Stela Solar, Director, National Artificial Intelligence Centre (NAIC), CSIRO, Australian Government

Our AI Automations Methodology

Every Mindiam automation runs through the same four steps. We move fast, prove the saving early, and never ask you to sign up for a long build before you have seen it working.

1
Find the hours
We shadow your team's real week and map the top 10 to 15 repetitive tasks, ranked by hours lost and how cleanly software can take them over. You get a short, honest shortlist of where AI pays off first, and where it would not.
Timeline: Week 1, 3 to 5 hours of your team's time
2
Pick the right tool
We recommend the simplest stack that does the job, no-code (Make, Zapier, n8n), Microsoft Copilot Studio, a custom GPT or Claude agent, or full code when the workflow needs it, with cost-to-build and cost-to-run laid out up front so there are no surprises.
Timeline: Week 1, no team time required
3
Build and connect
We build the automation and wire it into the tools you already use: Xero, MYOB, HubSpot, Salesforce, Microsoft 365, Google Workspace, Shopify, Slack, Teams. Every build includes error handling, an audit trail and a human checkpoint for anything that touches a customer.
Timeline: Weeks 2 to 4, depending on complexity
4
Prove it and expand
We monitor for 30 days, tune anything that misfires, and hand you a plain report showing the hours actually saved against your old baseline, plus a ranked list of the next automations worth building.
Timeline: Weeks 5 to 8

What automation looks like in practice

A representative example of the kind of result we build toward, plus two Australian benchmarks that show what is now normal. Figures in the example are illustrative, not from a named client.

Representative example: a 12-person services firm

Quote-to-invoice automation gave the office back two days a week

Challenge: An admin team was manually re-keying every enquiry into the CRM, copying details into a quote template, chasing approvals over email, then re-entering the same numbers into the accounting system. The same data was being typed up to four times, and quotes regularly slipped a day or two.
Approach: We connected the enquiry form, CRM, quoting tool and accounting system so a new enquiry flows straight through: the agent drafts the quote from the CRM record, routes it for one-click approval, and on acceptance creates the invoice automatically. A person still reviews every quote before it goes out.
Result: The team stopped re-typing the same data four times. Quotes that used to take a day now go out same-hour, and the office got back roughly two days of admin time every week to spend on customers instead.
Metric: ~2 days/week of admin recovered · quotes out same-hour · data entered once, not four times

Coles Group (Melbourne HQ, 850 stores nationwide)

19 AI models making 1.6 billion predictions a day

Challenge: A national supermarket needed to personalise the experience for millions of loyalty customers and keep 850 stores stocked and moving, at consumer-grade reliability.
Approach: Coles partnered with Microsoft to run 19 AI models on Azure, added computer vision at checkout, and in November 2025 extended the work with an OpenAI ChatGPT integration across teams.
Result: 1.6 billion predictions a day across 20,000 products, personalised recommendations for 4 million-plus Flybuys customers, and ChatGPT now working inside Coles teams. It is the scale your customers' expectations are quietly being set against.
Metric: 1.6B predictions/day · 19 AI models · 4M+ Flybuys customers

Atlassian (Sydney HQ)

Rovo: no-code AI agents inside the tools teams already use

Challenge: Teams using Jira and Confluence held their knowledge across fragmented tools and needed a way to surface and act on it without handing every customer an engineering project.
Approach: Atlassian launched Rovo with AI search, chat and no-code agents, reaching general availability within five months and bundling it into Premium plans.
Result: Any team can now build an AI agent without writing code. It is a clear signal of where the tooling has landed: practical automation is in reach for ordinary teams, not just engineering-heavy enterprises.
Metric: GA in 5 months · no-code agents · bundled into Premium

Where We Deliver AI Automations

We deliver ai automations on-site and remote across every Australian state and territory. Pick the city closest to your team for local pricing, expert quotes, and case studies - or browse the state-level overview.

New South Wales (NSW)

Victoria (VIC)

Queensland (QLD)

Western Australia (WA)

South Australia (SA)

Tasmania (TAS)

Australian Capital Territory (ACT)

AI Automations in Canberra

Northern Territory (NT)

AI Automations Pricing

Automation pricing is built around the shape of the work, not a vague monthly retainer you cannot tie to a result. Most teams start with one fixed-price automation, see the hours come back, then decide whether a rolling backlog or a bigger custom build is worth it.

Three models cover almost everyone. A single fixed-price automation tackles one clear pain point. A retainer suits a steady backlog of smaller wins. Custom agent development is for a bespoke customer-facing or internal assistant that needs proper design and integration.

Every engagement is itemised. We tell you exactly what is in the quoted price and what, if anything, would be extra, so you always know what you are paying for and what it is expected to save you.

Tier	Price	Includes	Additional
Single Automation	From A$2,500 + GST (fixed-price)	Workflow scoping and a quick process audit Build on Make / Zapier / n8n / Copilot Studio Integration with up to 3 tools you already use Error handling and an audit trail 30 days of post-launch monitoring and tuning	Extra tool integrations Custom TypeScript / Python components More complex multi-step or multi-team workflows
Automation Retainer	From A$5,000 to $6,000 + GST per month	A rolling backlog, typically 2 to 4 builds a month A dedicated Slack or Teams channel Monthly review plus a time-saved report Priority response if a production automation breaks Ongoing tuning as your tools and team change	-
Custom Agent Development	From A$12,000 to $15,000 + GST per build	Custom agent design (model choice, retrieval, tool use) Deep integration and deployment into your systems Handover documentation and staff training 90 days of post-launch support A clear measurement plan so you can see what it saves	-

Custom automation work that meets the ATO's experimental R&D criteria can qualify for the federal R&D Tax Incentive, a refundable offset of up to 43.5% for eligible small companies under A$20m turnover. Not every build qualifies; where yours does, we structure the engagement so your accountant has the audit trail they need. We are happy to flag what is in scope, but your accountant makes the call.

For city-specific pricing nuances, see the relevant city page above.

Frequently Asked Questions

What can you actually automate for my business?

The repetitive, rules-based work that eats your week: moving data between apps, drafting and sending routine emails, building the same reports, triaging your inbox, onboarding new customers, chasing invoices, scheduling, quoting. We watch how your team works, pick the tasks costing the most hours, and hand those to software first. If a task genuinely needs human judgement, we keep a person in the loop and automate everything around it.

How quickly will we see the time saved?

Fast. We can usually map a workflow in a week and have a first automation running inside a month. Because it saves the same hours every week, you feel the difference almost immediately, and we hand you a report at the 30-day mark showing the actual hours recovered against your old baseline.

How much does AI automation cost in Australia?

A single fixed-price automation starts at A$2,500 + GST. A monthly retainer for a rolling backlog runs A$5,000 to $6,000 + GST. Custom agent builds start at A$12,000 to $15,000 + GST. Every quote is itemised, so you know exactly what you are paying for and roughly what it is expected to save.

What tools do you build with?

Whatever fits the job and your budget. We use no-code platforms like Make, Zapier and n8n, plus Microsoft Copilot Studio, ChatGPT, Claude and the OpenAI API, and we drop into TypeScript or Python when a workflow outgrows no-code. We integrate with Xero, MYOB, HubSpot, Salesforce, Microsoft 365, Google Workspace, Shopify, Slack and Teams. We pick the tool after we understand your work, never before.

Will the automation be reliable, or will it break?

Reliability is the whole point. Every build ships with error handling, a clear audit trail, and a human checkpoint for anything customer-facing, so a model is never quietly making decisions on its own. We monitor for 30 days after launch and tune anything that misfires before we hand it over.

Which Australian cities do you work with?

All of them. We build and deliver remotely across every state and territory, and on-site in the capitals when it helps. Pick the city closest to your team below for local examples, or just book a call.

Complementary Services

Custom AI Software & Integrations

We build apps and wire AI into your CRM, accounting and booking tools, so the software does the work.

Learn more about AI Software

AI Consulting & Implementation

We find where AI pays off, rank it by payback, and build the winners with you, end to end.

Learn more about AI Consulting

AI Training

Hands-on, role-specific workshops on the tools your team actually uses, so they save real time the same week.

Learn more about AI Training

Find out what AI could automate for you

Book a free 30-minute call. We will walk through your team's week, point out the 2 or 3 tasks where automation would save the most time and money, and give you an honest view of what it would take to build them. You will leave with a written recommendation whether or not you work with us.

Book a free 30-min call