The best AI consulting firms in Australia (2026): who does what, and who they are actually for

Disclosure: Propeller publishes this guide and appears in it. Every other firm is described using its own public self-description, checked on 28 July 2026 — services, locations, client-size focus and any published pricing come from each company’s own website, and nothing is inferred beyond it. We do not rank the firms, because we are one of them and a ranking by the publisher would be worthless to you. They are grouped by who they serve, which is the distinction that actually decides your shortlist.

Why “best” is the wrong question

Search “best AI consulting firms Australia” and you will get a dozen ranked lists, most of them published by firms that placed themselves at the top. The rankings disagree with each other because there is no shared measure being applied — a consultancy that is genuinely excellent at a two-year enterprise data platform migration is the wrong choice for a 15-person business that wants its quoting process automated, and the reverse is equally true.

The distinction that predicts fit is client size and engagement shape: how big an organisation the firm is built to serve, and whether they sell a fixed-scope program, a time-and-materials project, or an ongoing retainer. That is what this guide sorts on.

How to choose, in four questions

1. How big is your organisation? A firm whose case studies are all ASX-listed companies has a cost base built for those engagements. A firm serving 20-person businesses will not have the governance depth a regulated enterprise needs. Match the band.
2. Do you want advice, or a working system? Some firms deliver strategy, roadmaps and capability uplift. Others write and deploy the code. Both are legitimate; buying the wrong one is the single most common source of disappointment.
3. What happens after go-live? Ask who operates the thing once it is running, and what it costs. An automation nobody owns is a liability.
4. Can they show something working? Ask for a demonstration on your own data or workflow before committing. Firms that build tend to say yes quickly.

How the options compare

Firm	Built for	Based	Shape of work	Published pricing
Mantel Group	Enterprise & public sector	AU/NZ, 10 hubs	AI, data, cloud, digital, cyber	None published
AI Consulting Group	Enterprise, government, resources	Sydney	Data platforms, ML, AI governance	None published (fixed-price or T&M)
RUBIX	Australian enterprise	Melbourne & Sydney	Fixed-scope data & AI programs	None published
Team 400	Businesses with 50–500 staff	Brisbane (+ Sydney, Melbourne)	AI agents, software, embedded engineers	Yes — from $25,000
Edison AI	Australian SMBs	Sydney	Implementation, training, readiness audit	None published
Yes AI	Australian businesses, multi-sector	Melbourne (+ Sydney)	Workflow automation, agents, voice	None published
First Focus	Organisations of 20–200 staff	8 AU cities + NZ	AI inside a managed IT contract	None published
Tech Engine	Multi-sector SMB/mid-market	Brisbane, Sydney, Melbourne, Perth	Managed AI & automation with IT	None published
Propeller	Small & mid-sized Australian businesses	Gold Coast, QLD	Audit, build, hand over	None published (scoped per engagement)

Compiled from each firm’s public website, 28 July 2026. “None published” means exactly that — it is not a comment on cost.

The firms

Mantel Group

mantelgroup.com.au · Australia & New Zealand, 10 hubs · 850+ staff

The largest Australian-owned option on this list. Mantel describes itself as “a next-gen consultancy that blends brilliant thinkers with expert engineers, transforming businesses through AI, data, digital, cyber security, and cloud expertise,” and its published industry focus is banking and finance, healthcare, insurance, public sector and retail. Its current positioning — “Experimentation is over. It’s time to scale” — is aimed squarely at organisations already past their first pilots.

Strengths Scale and delivery depth; Australia/NZ owned; partner accreditations across AWS, Google Cloud, Snowflake and Databricks; regulated-industry experience. Honest limitations Built for enterprise engagements — a small business is unlikely to be the right fit for either party. No published pricing.

AI Consulting Group

aiconsultinggroup.com.au · Level 2, 11 York St, Sydney NSW

A data-and-AI consultancy working across mining, finance, healthcare, retail, manufacturing, law, government, aged care and logistics, with named clients including BHP, Downer, Fremantle Ports and the Australian Government Department of Education. The service range runs from data platform architecture on Azure, AWS and GCP through machine learning and generative AI to a distinct AI governance and risk practice — which matters if you are in a regulated sector.

Strengths Named enterprise and government clients; explicit AI governance and risk capability; offers both fixed-price and time-and-materials engagements. Honest limitations Enterprise and government orientation; no published rates.

RUBIX

rubix.com.au · Melbourne & Sydney · established 2010

Self-described as “an Australian data & AI consultancy (est. 2010, Melbourne & Sydney)” that operates “without the consulting theatre.” The service set spans AI and data strategy, governance, forward-deployed engineers, modern data infrastructure, analytics and machine learning, and agentic AI. Usefully, RUBIX publishes two structured entry points rather than only bespoke scoping: a Data Foundation program described as an 8-to-12-week fixed-scope engagement, and an Executive Dashboard service.

Strengths The longest track record here (2010); fixed-scope entry points make the first engagement legible; strong data-foundations emphasis, which is where most AI projects actually fail. Honest limitations Enterprise-oriented; the fixed-scope programs have no published price.

Team 400

team400.ai · HQ Brisbane, plus Sydney & Melbourne · from $25,000

The most price-transparent firm on this list, and the clearest about who it serves: “helping businesses with 50-500 employees implement practical AI solutions.” It publishes that “Fast Packages start from $25,000 for focused AI solutions” and that “Custom AI projects typically range from $50,000 to $250,000 depending on integration requirements.” The offer is engineering-led — “AI Agents and Software built by top engineers” — spanning AI systems, .NET and React development, and managed services including forward-deployed engineers.

Strengths Publishes real numbers, so you can qualify yourself in or out in a minute; explicit mid-market focus; genuine software engineering alongside AI work. Honest limitations The $25,000 floor puts it out of reach for most small businesses. If you have fewer than 50 staff you are below the stated band.

Edison AI

edisonai.au · Surry Hills, Sydney NSW · serving Australia-wide

Positioned as “AI systems for growing Australian businesses” and “built for Australian SMBs.” Three named service pillars: AI Implementation (“agents, systems, dashboards, and automations built around your workflows”), AI Capability Training (“practical capability uplift for leaders and teams using AI in real work”), and an AI Readiness Audit. Nine sectors are targeted explicitly, including trades and field services, professional services, health and allied clinics, and construction.

Strengths Genuinely SMB-focused rather than enterprise work sold down; the readiness audit is a low-commitment way to start; training is treated as a first-class service, not an afterthought. Honest limitations No published pricing — everything routes to a booked call. Also a direct competitor of ours, and the most frequently cited firm in Google’s AI Overview for this query.

Yes AI

yesai.au · Melbourne VIC, plus Sydney, Austin & Miami

Offers “custom AI workflow automation, autonomous agents, and consulting that cut costs, grow sales, and free your team from repetitive work.” The work spans workflow automation (emails, reports, data entry, document processing), a four-stage strategy-and-implementation path from opportunity assessment through to go-live and change management, custom LLM and RAG builds, and AI voice agents for inbound calls and booking. Websites, SEO and marketing services sit alongside.

Strengths Broad practical automation range; explicit change-management stage, which is where adoption usually dies; free AI audit and 20-minute consultation as entry points. Honest limitations Wide service surface — from LLM builds to social media automation — so probe depth in the specific area you care about. No published pricing.

First Focus

firstfocus.com.au · 8 Australian cities, NZ & Manila · organisations of 20–200 staff

Primarily a managed service provider — ranked “Australia’s #1 Managed Service Provider” for “9 years running” by Cloudtango, and supporting “35,000+ End Users” — that now lists AI consulting services and an intelligent managed service combining “AI, automation, security, IT support.” It states its market plainly: “organisations with 20-200 staff operating across multiple locations in Australia and New Zealand.”

Strengths If they already run your IT, AI arrives inside an existing relationship with existing security and support; ISO certified across information security, environment and quality; clearly stated client-size band. Honest limitations AI is an extension of a managed IT business rather than the core practice. Best fit if you want AI adjacent to your IT stack, not a bespoke build.

Tech Engine

techengine.au · Brisbane, Sydney, Melbourne & Perth

Another managed IT provider with an AI line — managed AI and business automation consulting sitting alongside managed IT, cyber security, cloud and infrastructure, backup and recovery, Microsoft Dynamics 365 and Power Apps, and cloud telephony. Named verticals include schools, financial services, property, creative industries, recruitment, charity and call centres.

Strengths Four-city physical presence; Microsoft business-applications depth, which suits AI work built on Dynamics or Power Platform; one supplier for IT and automation. Honest limitations AI is one service among many. Note the advertised free onboarding is tied to a 36-month commitment — read the term before signing. No published pricing.

Propeller

propeller.net.au · Surfers Paradise, Gold Coast QLD · publisher of this guide

We work with small and mid-sized Australian businesses that want a working automation before a strategy document. The engagement shape is audit, build, hand over: find where the hours actually go, build the automation or agent around the tools you already use, then train your team to run it. We run our own operation on the same stack, which is the main reason we will tell you when a workflow is not worth automating yet.

Strengths Built for the band below most of this list; implementation-first rather than roadmap-first; you own and operate what we build. Honest limitations Young company (2026) with a shorter track record than RUBIX or Mantel. Consulting engagements are scoped individually, so there is no published price to compare here. If you need enterprise-grade AI governance for a regulated institution, AI Consulting Group or Mantel Group is the more appropriate call. Publisher of this guide.

So which should you pick?

Enterprise or government, regulated, multi-year: Mantel Group or AI Consulting Group. Both have the scale and the governance practice; AI Consulting Group publishes named clients at that tier.

Established mid-market, 50–500 staff, want engineering: Team 400 or RUBIX. Team 400 is the only firm here that lets you qualify on budget before the first call; RUBIX brings the longest track record and a fixed-scope way in.

Smaller business, want something working this quarter: Edison AI, Yes AI or Propeller. All three are built for the band; all three will start with an audit. Talk to at least two.

Already outsourcing your IT: ask First Focus or Tech Engine what AI they can add before you appoint anyone new. The cheapest useful AI project is often the one that runs inside a contract you already have.

Whoever you shortlist, ask the same closing question: show me something working on my data before I commit. The answer to that separates the firms faster than any ranking, including this one.

Frequently asked questions

What does AI consulting cost in Australia?

Almost no Australian AI consultancy publishes rates. The exception on this list is Team 400, which states that “Fast Packages start from $25,000 for focused AI solutions” and that custom projects “typically range from $50,000 to $250,000 depending on integration requirements.” Treat that as the mid-market benchmark: a scoped project for a business of 50–500 staff starts in the tens of thousands. Smaller engagements aimed at SMBs are generally scoped individually, which is why you will be asked to book a call before seeing a number.

What is the difference between an AI consultant and an AI implementation partner?

A consultant advises: assessment, strategy, roadmap, capability uplift, governance. An implementation partner builds and deploys the working system. Several firms do both, but they lead with different things — RUBIX and Mantel Group lead with strategy and data foundations, Team 400 and Yes AI lead with engineering. Buying advice when you wanted a working system, or vice versa, is the most common mismatch in this market.

Do I need an AI readiness assessment first?

Not always, but it is a cheap way to avoid an expensive mistake. A readiness audit — Edison AI and Yes AI both offer one, and most firms will run some version — establishes where your hours actually go and which workflows are genuinely automatable. If a proposal arrives without anyone having examined how your business currently works, that is a warning sign regardless of the firm’s size.

Should I use a big consultancy or a small one?

Match the firm to your organisation, not to its brand. A large consultancy carries governance depth, delivery capacity and regulated-industry experience that a 20-person business will pay for and never use. A small firm gives you senior attention and speed but less resilience if your project needs twelve specialists. The failure mode in both directions is being the wrong size client — too small to matter, or too big to be served.

How long does an AI implementation take?

It depends on scope, but the useful benchmark is that a first workflow should show results in weeks, not quarters. RUBIX publishes an 8-to-12-week fixed-scope Data Foundation program; a single automated workflow is typically faster than that. If a proposal talks in quarters and transformation roadmaps before anything runs, ask what will be working in the first month.

Who publishes rankings of AI consulting firms in Australia?

Clutch.co maintains a directory-based ranking of Australian AI consultants built on verified client reviews, and it is currently the most-cited source in Google’s AI Overview for this query. Beyond that, most “top AI consulting firms” lists — including this one — are published by firms in the market. Read them for the shortlist and the self-descriptions, not for the ordering.