Best AI Agencies in Australia & New Zealand 2026
An honest 2026 comparison of AI agencies in Australia and New Zealand: who each is best for, what they cost, and the questions that expose deck factories.
If you are an Australian or New Zealand business trying to hire someone to make AI actually work, the market is confusing on purpose. Everyone says transformation. Almost nobody publishes a price, names a client, or tells you who they are wrong for.
This is the comparison we wish existed when clients ask us who else they should be talking to. Yes, we are on this list, and yes, we are biased. So the rule for this page is simple: we say who each option is genuinely best for, including when it is not us. The vendors here do not name their competitors. We think that tells you something, and we are happy to be the exception.
The quick verdict
- Sentry AI (us, Auckland) for teams across NZ and Australia that want to move onto Claude and ChatGPT properly: a boutique AI consulting and development shop that moves one workflow at a time, teaches it in person, measures it against the team's own week-one baseline, and stays on as the embedded AI partner. The only NZ-native option on this list.
- Hourglass AI (Sydney and Melbourne) for Australian founder-led small businesses that want fast, fixed-fee automation wins and published pricing. Impressive velocity, SMB-shaped.
- Decidr (Sydney) if you want a single-vendor AI platform rather than an agency at all. ASX-listed, well funded, enterprise-aimed, and everything runs inside their product.
- The Big Four and strategy consultancies if the board needs a governance framework and a defensible paper trail more than it needs working software.
- Offshore and US agencies if budget beats timezone. You will feel the twelve-hour gap in every standup.
The longer version, with the trade-offs, is below.
Sentry AI
Auckland-based, working across New Zealand and Australia, on-site and remote. Our bias disclosure is above, so here is the honest shape of us.
What we actually are. A boutique AI consulting and development shop in Auckland, New Zealand. Our main work is moving teams onto Claude and ChatGPT: one workflow at a time, taught in person, and measured against each team's own week-one baseline, in the way we move a team onto AI. We stay on as the embedded AI partner and build the custom agents and workflows the gaps reveal; company brains and open-weight models are longer-term work for the businesses that are ready. The framework behind it is public in the AI Transformation Whitepaper. We build and teach, we do not just advise. No decks, no eighteen-month programmes.
Proof. Six published case studies, including a recruitment voice agent that made 3,000 candidate calls in three months at roughly a fifth of the cost of a recruiter. Named case studies, on the site, with the clients' industries attached.
Where to start. Every engagement starts with the AI Readiness Check. The first step runs free in your browser: map your tools and teams, see your business as a knowledge graph, get your top three AI opportunities. What comes after it is scoped with you on a call.
Who we are wrong for. If you want a bench of thirty consultants and a change-management office, that is not us. If you want the absolute cheapest possible chatbot, that is also not us.
Hourglass AI
Founded in early 2026 by Michael Batko, who ran the Startmate accelerator for eight years, and Finlay Ekins. Sydney and Melbourne, Australia only.
What they do well. Speed and transparency. Their AI Audit runs $2,000 to $10,000 AUD, builds run $5,000 to $20,000, retainers from $2,500 a month, and a productised founder assistant at $5,000 plus $200 a month. All of it published on the site, which almost nobody else in this market does. They ship quickly, their content is honest, and the Startmate network gives them real reach into Australian startups.
Trade-offs to weigh. The client roster is founder-led small business: recruiters, wellness studios, retailers. If you are an enterprise with compliance obligations, multiple departments and existing vendor agents to govern, their per-product governance is not a control plane across your whole estate. They are also months old as a company, and there is no New Zealand presence at all.
Best for. An Australian founder who wants automation wins this quarter at a known price.
Decidr
The important thing to understand about Decidr is that it is not an agency. It is an ASX-listed product company (ticker DAI) selling DecidrOS, an all-in-one AI platform, with a A$20 million raise behind it and expansion running toward the US and Asia.
What they do well. Serious platform engineering, SOC 2 Type 2, an AWS partnership, and named Australian customers including CareerOne, ELMO and Go1. If you want to buy one vendor's integrated AI platform and run your business on their apps, this is the most credible ANZ-listed way to do it.
Trade-offs to weigh. Everything lives behind a demo request. No public pricing anywhere. There is no services arm: nobody trains your team, nobody builds your custom workflows, and the platform governs its own apps rather than the agents you already run elsewhere. The output belongs to their schema, which is the opposite of the ownership question we would tell you to ask first. And their momentum is visibly pointed offshore, not at New Zealand.
Best for. An Australian enterprise that has decided on a single-vendor platform strategy and has the internal team to adopt it.
The consultancies
The Big Four and the strategy houses will produce a rigorous AI governance framework, a risk assessment the board can sign, and a roadmap measured in quarters. What they will not do is ship working software in week one, and the day rates mean a pilot costs what a production system should.
Best for. Regulated enterprises that need the paper trail before anything can be built. Just do not confuse the deck for the deployment.
Offshore and US agencies
There are competent AI teams in the US and cheaper ones offshore. Two things bite ANZ buyers: the timezone, which turns every question into an overnight round trip, and data residency, which most of them cannot answer for Australian or New Zealand regulatory contexts. If your data must stay in your region and your team works NZST or AEST, a local partner is not a nice-to-have.
The questions that actually separate them
Whoever you talk to, including us, ask these five:
- What did you ship last month, and can I talk to the client? Deck factories go quiet here.
- What does it cost? Anyone who cannot give you a range on the first call is planning to scope you into a corner.
- Who owns what we build, including the data and the prompts? If the answer involves their platform's schema, you are renting.
- How do you govern the agents we already have, not just the ones you sell us? This is where platform vendors and point-solution shops both stall.
- How much of my team's time does this take? A real answer sounds like hours, not headcount.
Where to start, whoever you choose
Run our AI Readiness Check first. The browser step is free, takes about two minutes, and maps your tools, teams and data silos into a knowledge graph with your top three AI opportunities. Take the output to any agency on this list. If the conversation gets better because you brought a map, you have learned something about the agency too.
And if you want the week that ships a fix by Friday, book a call. If we are not the right fit, we will tell you who is. That is the whole point of this page.
Written by

Founder, Sentry AI
James Oldham founded Sentry AI in Auckland and runs it: an AI engineer who moves teams across New Zealand and Australia onto Claude and ChatGPT, teaches it in the room, and does the engineering on the work described in these posts.
- Founder and sole director of Sentry AI Solutions Limited (NZ company 9399152, incorporated 20 January 2026)
- Built custom AI systems for enterprise teams, including the NBA, before founding Sentry AI
- Delivered the voice, knowledge-graph and agent systems in the named case studies on this site, across recruitment, healthcare, retail and financial services
- Taking Sentry AI through its own ISO 27001, SOC 2 and ISO/IEC 42001 programme
- Auckland University of Technology
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