AI CONSULTING · AUSTRALIAAI consulting for Australian enterprises whose AI pilots never reach the P&L
We find where AI will cut cost and grow revenue in your business, size each opportunity in dollars, then build, secure and drive adoption. Founded in Brisbane in 2018.
- 250+
- projects delivered
- 25+
- countries
- ISO 9001 · 27001
- certified delivery
- Fortune 500
- clients, including AISIN (Toyota Group)
Founded in Brisbane in 2018. Quantana Pty Ltd, ABN 59 637 056 574.
AI Compass, your AI roadmap in 14 days: From A$15,000 + GST
Get your AI roadmapWhat does an AI consultant do?
An AI consultant finds where AI will cut cost or grow revenue in your business, sizes each opportunity, and turns the best into a sequenced plan with owners and stop rules. A good one then stays to build, secure and drive adoption, so the value sized on paper turns up in your numbers.
At Quantana that plan is AI Compass: your AI roadmap in 14 days, for one fixed fee, never per user: From A$15,000 + GST.
Most leadership teams we talk to already use AI somewhere.
Few can say what it returns.
The tools are not the problem. Nobody wrote down the baseline, so nobody can prove the change.
That is the gap we work in.
Why start with the business case, not the technology?
Most AI programmes stall because nobody can say what a use case is worth or what it costs to run.
Australian guidance makes the same point. The National AI Centre’s Guidance for AI Adoption starts with deciding who is accountable and understanding impacts before you build. [1]
So we start where your P&L does: cost per transaction, cycle time, error rates, revenue per customer.
That is why we describe ourselves as a business consultancy first. We help enterprises adopt AI to improve bottom-line performance and growth, and we stay through build and adoption so the value you sized on paper turns up in your numbers.
The tempting choice: buy a tool, then look for a problem.
The better choice: price the problem, then pick the tool.
How does our AI consulting work?
Every engagement follows the Quantana Path: Map, Solve, Prove, Grow. Inside it are six pieces of work.
- Opportunity assessment. We map processes and workflows with the people who run them, then list where AI could remove effort, cut errors or open revenue. We also check your data architecture and team readiness, because most organisations overestimate how ready they are.
- Cost-saving sizing. For each candidate we record the baseline (cost, time and quality today), the addressable volume, the expected lift and our confidence. The result is an annual value range, not a single hopeful number. Our value-sizing method shows the arithmetic.
- Growth-potential sizing. The same method applies to revenue: lead response time, conversion, retention, new services. Growth cases carry wider ranges, and we say so.
- Roadmap. AI Compass ranks use cases on an ROI feasibility matrix and sequences them, with owners, decision gates and stop rules. You get your AI roadmap in 14 days.
- Build. AI Labs builds what the roadmap selects: custom retrieval-augmented generation (RAG, which answers from your own documents), legacy integrations and private LLM deployments. Q-Squad deploys governed AI agents.
- Govern and adopt. We put ISO-aligned controls, role-based access and audit logging around each system. AI Academy trains leaders and teams so the tools get used. People approve; the AI drafts, reads, matches and flags.
Want the stage-by-stage version you can run yourself? Read our guide on how to implement AI in your business.
What does a typical engagement look like?
Three steps. Timing after the roadmap depends on your data and approvals.
| Step | What happens | What you receive |
|---|---|---|
| AI Compass (14 days) | Workshops with business owners, process and workflow mapping, a data readiness review, use-case scoring | Your AI roadmap: ranked use cases, value ranges, an ROI feasibility matrix, risks and the first wave to build |
| Prove (first wave) | A working pilot in the real workflow with real users, measured against the baseline | Evaluation results, measured change and a go or stop decision |
| Grow (ongoing) | Production release with monitoring and human override, training, quarterly review | Adoption and value tracking, and the next wave of use cases |
AI Compass: From A$15,000 + GST. One fixed fee, never per user. Builds are priced per use case once the roadmap has sized them.
Our enterprise AI roadmap guide sets out typical phase lengths, owners and gates if you want to plan the rest.
Which industries do we work in?
These examples come from our published case studies.
- Mining and resources. For PX4 Software Resources we built a tenement compliance platform used by mining companies including Glencore, Fortescue and Aurelia Metals, supporting 60+ regulatory jurisdictions across 6 continents, with 35% cost savings in mining project planning.
- Life sciences. CasX.ai’s autonomous pharmacovigilance platform has processed more than 50,000 case records, with a reported 50% to 80% reduction in pharmacovigilance cost across deployments.
- Private equity. We regularly speak at Warburg Pincus portfolio companies and help them adopt AI. Read the case study, or see AI for private equity.
- Manufacturing and mobility. For AISIN (Toyota Group) we designed an edge computing solution that detects and reports road issues in real time, operational in Japan and Europe.
- Financial services and insurance. A peer-to-peer lending platform approved by the Central Bank of Bahrain and verified by independent VAPT, and an AI submission and quoting platform for a US insurance services firm. See also AI for MGAs.
- Hospitality. An AI email agent for Greenpark Hotels sorts messages into bookings, escalations, FAQs and priority queries and drafts replies, ending manual email sorting.
- Education. ISB’s learning platform, engineered for 100,000 users, uses AI-generated content to cut course development from months to minutes.
- Facilities. Facillizence’s IoT and AI platform reports savings of up to 20% of operations and maintenance cost per square foot.
- Australian brands. Frosty Boy, Surf the Urge (Sydney) and BookJoy (Brisbane).
“Feels like almost 10 years with Quantana. They are second to none, true experts in digital platforms and AI.”
Browse all case studies or see the industries we serve.
Why choose Quantana?
- Certified delivery. ISO 9001 and ISO/IEC 27001 certified, with VAPT-tested releases. View the certificate.
- Private AI when your data cannot leave. We run open models on our own Nvidia-powered pods or on your infrastructure. SecGPT Vault is private generative AI that runs on-premises with no internet connection, answers from your documents with sources cited, and includes single sign-on and audit logs.
- AI for SAP. QSAP connects AI assistants to SAP S/4HANA with each user’s SAP authorisations respected and every request on record. Read our AI in SAP guide.
- Model-neutral. We use Claude, OpenAI and Gemini models plus open models from Google, OpenAI, Mistral and Nvidia, chosen per use case after evaluation.
- Design first. Design thinking, UI, UX and AX set us apart. Strategy, product design, engineering and ISO-certified QA sit in one accountable delivery POD, so nothing is lost in a hand-off.
- Flat fees. Tiered by scope, never per user. You should not pay more because more of your people use the thing that works.
- An Australian entity. Quantana Pty Ltd (ABN 59 637 056 574) is our founding entity and headquarters, in Brisbane, with a regional office in San Ramon and an engineering hub in Hyderabad. More on who we are.
How do you choose an AI consultancy? A buyer’s checklist
Use these ten questions with any firm you shortlist, including us.
- Do they size value before they recommend tools? Ask for a sample value calculation with a baseline, a volume, a lift and a confidence level.
- Will they put a stop rule in writing? Good roadmaps say when a pilot is cancelled, not only when it scales.
- Can they show measured outcomes? Look for published case studies with numbers, not logos alone.
- Are they model-neutral? A firm tied to one vendor will recommend that vendor. Ask how they choose models and how you could switch.
- Where will your data be processed? Storage and inference can sit in different countries. Ask about storage, inference, logs and support access separately. [2]
- What certifications cover delivery? ISO/IEC 27001 covers information security management. Ask for the certificate, not the badge.
- How do they map to Australian guidance? Ask how their governance covers the six practices in the Guidance for AI Adoption, the OAIC’s advice on personal information in AI tools and, if you are APRA-regulated, CPS 230 and CPS 234. [1][3][4]
- Do they plan for the 10 December 2026 privacy change? From that date, organisations covered by the Privacy Act must describe in their privacy policy automated decisions that could significantly affect individuals. [5]
- Who builds and who trains? Adoption fails when people are not ready. Ask who delivers training and how adoption is measured.
- Is there an Australian entity? Check the ABN on the Australian Business Register, and where contracts, support and liability sit.
General information, not legal advice. Regulatory position as at 8 November 2026, with links to the primary sources.
AI consulting in Australia, answered.
What does an AI consulting engagement cost in Australia?
It depends on scope. A roadmap is a fixed, short piece of work; builds are priced per use case after the roadmap sizes them. Quantana’s AI Compass is one fixed fee, from A$15,000 + GST, never per user. Ask any consultancy for a fixed-scope first step so you can judge value before you commit to a build.
How long does an AI roadmap take?
Quantana’s AI Compass delivers your AI roadmap in 14 days. It covers process and workflow mapping, data architecture readiness and an ROI feasibility matrix. Building a roadmap in-house usually takes two to six weeks, and first use cases typically reach production three to six months later, depending on data readiness and approvals.
How do you identify cost savings with AI?
We record the baseline cost, time and quality of each process, estimate the volume AI can address and the expected improvement, then apply a confidence factor for how good the evidence is. Multiplying these gives an annual value range. Comparing it with build and running costs gives a payback period for each use case.
Can you find growth opportunities, not just cost savings?
Yes. Revenue cases are sized the same way: faster lead response, higher conversion, better retention or new services. Growth estimates carry wider ranges than cost cases, so we show the range and the assumptions, then test them in a pilot before anything scales.
Do you work with APRA-regulated organisations?
Our governance work maps AI systems to existing obligations such as CPS 230 and CPS 234, with ISO-aligned controls, audit logging and role-based access. Our private AI guide sets out how APRA’s April 2026 letter on AI applies. It is general information, not legal advice.
Can our data stay in Australia or on our premises?
Yes. Quantana runs open models on its own Nvidia-powered pods or on your infrastructure, so sensitive data need not leave your network. SecGPT Vault runs on-premises with no internet connection. Hosted models are used only where a use case needs them.
Which AI models do you use?
Claude, OpenAI and Gemini models, plus open models from Google, OpenAI, Mistral and Nvidia. We benchmark new releases and choose each model per use case after evaluations for quality, speed, cost and integration effort.
Where is Quantana based?
Quantana was founded in Brisbane, Australia in 2018. Quantana Pty Ltd (ABN 59 637 056 574) is the founding entity and headquarters, at 179 Alfred Street, Fortitude Valley, with a regional office in San Ramon, California and an engineering hub in Hyderabad, India. We have delivered 250+ projects in 25+ countries.
Sources
Accessed 8 Nov 2026 unless stated.
- National AI Centre, “Guidance for AI adoption: implementation practices”, 21 October 2025
- OpenAI Help Center, “Data residency and inference residency for ChatGPT” (Australia listed for storage, not inference, as at 7 November 2026)
- OAIC, “Guidance on privacy and the use of commercially available AI products”, updated 17 January 2025
- APRA, “APRA letter to industry on artificial intelligence (AI)”, 30 April 2026
- OAIC, “New resources on transparency for use of AI and automated decision-making”, 30 September 2026
Get your AI roadmap
Find out where AI will cut cost and grow revenue in your business, with a ranked, sized roadmap in 14 days. Get your AI roadmap, read how we work, or talk to us.
One question to take back to your team: which process would you most like to see 20 per cent better by the end of next quarter?