AI consulting for Australian businesses that want a return, not a pilot. We find the use cases that pay, our own engineers build them, and the governance goes in before anything reaches a customer.
The Aussie automation partner rated
Most AI spend never reaches production
Rarely because the technology failed. Usually because nobody scoped the use case against a number, and nobody owned it after the demo. Unlike most AI consulting firms, we do not hand back a strategy deck: our own engineers build what we recommend and stay on it once it is live.
A working model is only halfway. It has to land here before we call it delivered.
Enquiries answered, quotes issued, bookings taken at 11pm on a Sunday.
The re-keying, the chasing, the retyping into another system. That work stops being anybody’s job.
Approvals that waited on one inbox clear immediately. Real exceptions still go to a human.
Every AI-assisted decision logged, explainable, and reviewable. Your board gets an answer, not a shrug.
Every system we recommend, we have already built and run somewhere. Here is what our AI consulting services have produced for businesses across Australia.
The chatbot they already owned was written off as a cost line. We rebuilt it as an AI consultant for a major Australian flooring retailer, and it now turns after-hours visitors into booked quotes.
Every Amex payment Pay processes needs a verified business address, or it stops. The decision itself is now made automatically, in seconds, across two markets, with no one reading a document to do it.
The assessment turned up a revenue opportunity where we had been asked to look at a technology problem. We built TOIPA from scratch: a paid program that runs itself and sustains Link Foundation’s free core services.
The data had to be in one place before anything clever could run on it. Standard Access moved beyond servicing into full toolkit asset management, on a platform their operations now run from.
Where AI belongs in your business, and where it does not. AI strategy consulting that ranks the candidates by payback and returns a costed sequence.
A short, fixed-scope engagement scoring your processes and data against what AI can actually do today. You leave with a shortlist and a recommendation, whether or not we build it.
Generative AI consulting that ends in something running: retrieval over your own documents, drafting and summarising inside the tools your team already uses, with an evaluation harness proving the answers hold up.
Agents that do the work, not describe it: reading the email, updating the record, escalating what they should not decide alone. Built on the same rails as our process automation work.
Assistants that qualify, quote, and book around the clock. Rebuilding one retailer’s AI customer service chat produced nearly $1M in attributable revenue.
The policy, controls, and AI register your board can sign off, mapped to Australia’s Voluntary AI Safety Standard and its ten guardrails, with a path to ISO/IEC 42001. Including what your staff already use.
Most stalled AI projects are data projects wearing a costume. We connect the systems, reconcile the identifiers, and get the records into a state a model can be trusted on.
Deployment, human-in-the-loop review, drift monitoring, retraining, and your team trained to run it without us. Our engineers build what we recommend.
Tell us the process that hurts. We will tell you whether AI is the right answer, and when it is not.
Tell us what’s not workingWe deliver AI consulting to organisations right across Australia. These are the moments that start the conversation.
Reading the spec, pricing it, writing it up. Common across retail and e-commerce and construction, and usually the first place AI pays for itself.
Invoices, applications, contracts, remittances, all re-typed into a system that could have read them. Standard work for professional services firms and finance teams.
Banking and finance and government clients cannot deploy a model nobody can explain. Governance gets designed in at the first workshop, long before an auditor asks.
Buying decisions increasingly start at night. An assistant that qualifies, answers, and books is the difference between a lead and a form sitting in an inbox until Monday.
Often the fastest engagement we run: find what is in use, work out what data has left the building, and replace it with something sanctioned that is genuinely faster.
You need something defensible: use cases ranked by payback, an owner against each one, and a number attached, in the order you should do them.
Sits in the first workshop and stays accountable for the use case long after the model is live.
Pressure-tests every AI recommendation against what it costs to run, monitor, and retrain in production.
Your single point of contact once a use case becomes a build. Owns scope, timelines, and comms.
We’ll be in touch within 30 mins to:
Since going live we’ve cut admin time by over 60%, reduced stock issues, sped up reporting, and improved guest response times. It paid for itself quicker than expected.
Their ability to translate complex AI concepts into clear, actionable strategies tailored to each client’s needs is exceptional. Their consulting approach is both strategic and hands-on.
They took the time to understand how we operate, pinpointed areas that needed tightening up, and implemented practical solutions that have genuinely improved our turnaround times and overall clarity.
Automation Consulting has been excellent to work with. Their team demonstrates strong expertise, clear communication, and a commitment to delivering value. Highly recommended!
An AI consultant works out where AI is worth applying and what it will return: assessing your processes and data, ranking use cases by payback, then building and measuring what goes live. The ones worth hiring stay past the pilot.
At a minimum: a readiness assessment, a use-case shortlist with a business case against each, and an AI strategy and roadmap. Ours also include the build, by our own engineers, plus the governance and handover that keep it working.
Ask who builds it. Many AI consulting firms sell the strategy and hand delivery to someone else, or resell the platform they are certified in. Three questions sort them: do you build what you recommend, what happens if the payback does not appear, and can you show something still running a year later.
The part of AI consulting concerned with models that produce language, code, or images rather than a score or a forecast: retrieval over your own documents, drafting and summarising inside the tools your team already uses, and agents that take actions, each measured by an evaluation harness. Generative AI consulting without that measurement is a demo.
Start with Australia’s Voluntary AI Safety Standard: ten guardrails covering accountability, risk management, data governance, transparency, and human oversight, aligned to ISO/IEC 42001. It adds no new legal obligations, but your existing privacy duties still apply to whatever a model touches. We build to those guardrails and hand over the policy, the AI register, and the controls at no extra charge.
No, but you need to know what state it is in. The readiness assessment tells you which use cases your data already supports and which need work first. Much of the early value needs no data project at all: reading documents, answering enquiries, drafting a first version.
