Have some Qs about the Cloud?
Whatever they are, we can help you (and your security’s always top of mind).
Have some Qs about the Cloud?
Whatever they are, we can help you (and your security’s always top of mind).

Vestone Capital case study
An agile workplace with the most effective tools, so their team can focus on delivering a better service to their clients.
Here to support Enterprise into the connected future.

NSW Police Force case study
Wherever Police are in touch, people and communities are better looked after. We helped NSW Police transform to future-proofed Cloud based collaboration and connectivity, on the road, on the beat or anywhere duty calls.

AAT case study
The Administrative Appeals Tribunal (AAT) reviews decisions made by Australian Government ministers, departments and agencies.
Let us know how we can help.
1300 ATARIX or 1300 282 749
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We’ve spent years configuring and securing the business apps mid-sized companies run on. AI is the next layer, not a separate business.
When we bring AI into your Microsoft 365 environment or your core systems, it arrives with the same governance and the same care we’ve always put into the platform underneath it.
Most businesses come to AI the wrong way round: a competitor mentions a tool, a product update promises to save time, and the tool gets switched on before anyone checks whether it’s right for the business.
That causes damage further down the line:
Atarix works from the other end. We start with the process, then bring the right AI governance services and tools to match it.
AI adds value when it’s matched to a process that already exists. That’s the work of an AI adoption consultant: finding where AI and agents solve a genuine problem, and leaving the rest alone until it’s ready.
Atarix goes function by function through the business before recommending anything. We’ve implemented AI
AI can do a lot. Our value comes from knowing which AI use case is worth pursuing for your business, and which ones aren’t.














Governance comes before any tool goes live. We set the permissions, access controls, and data governance framework that keep AI usage inside the boundaries your business and industry require.
Our AI adoption strategy consulting is grounded to the way your business operates. We map your processes and identify where AI best supports your business goals.
We handle the technical work of deploying AI systems and agents into your environment, tested against real data before wider release.
AI needs upkeep as data, teams, and business needs change. We’ll keep performance and governance aligned over the long term.
We walk through your business processes and workflows before we look at any technology. That means tracing how tasks move between people, and pinpointing where things slow down or go wrong. This is where we find the gaps AI technologies are best suited to close.
We match what we found against your business goals to build a short list of AI solutions, ranked by business impact. Some processes are ready for AI now. Others need work first, and we're upfront about which is which.
We put governance and security controls in place before any AI tool goes live. This covers access controls, a data governance policy, and a risk assessment specific to your environment and compliance obligations. Nothing gets switched on ahead of this step.
We configure and test AI agents and models against the exact process they're solving. Each one runs with a small group first, checked against real data quality and real conditions, before we roll it out to the rest of the team.
We monitor how the AI initiatives perform once they’re live, and adjust configuration as your processes change. AI deployments need attention over the long term, especially in relation to data access and governance.
Governance is the first step in every engagement. This is what separates responsible AI adoption from a rushed rollout.
The same team that scopes the work delivers it. There's no handoff to an offshore delivery team partway through the engagement.
Scope is agreed up front. What's delivered matches what was quoted, with no nasty surprise costs once the engagement is underway.
We’ve spent years securing and managing Microsoft environments for mid-sized Australian businesses, long before AI entered the conversation. Data governance and access control aren’t disciplines we’re picking up for this. They’re what we’ve built our name on.
That background is what makes our AI adoption strategy consulting different. Businesses come to us for business application services and AI governance consulting services because we start with the processes, not the product. The AI initiatives that follow are the ones your business will really benefit from.
AI shows up most in the processes that run constantly and rely on pattern recognition: customer service responses, financial reporting, sales follow up, and internal approvals. AI models handle prediction and classification, such as flagging unusual transactions or sorting incoming requests. The right application depends on the business goals behind it.
Business application services cover the setup, configuration, and ongoing management of the software a business runs on, including how AI systems and AI technologies get built into those apps. This spans governance, integration with existing platforms, and support once the apps are live.
For most businesses, this means getting Microsoft 365 and any other business tools working together properly.
AI governance covers the policies, ownership, and data governance framework that decide how AI gets used across a business, including which data it can access and who approves new use cases. AI security covers the technical controls that enforce those policies, such as access restrictions and monitoring for misuse.
A responsible AI adoption process needs both, along with a documented risk assessment before anything goes live.
An AI adoption strategy is a plan that ranks AI initiatives against your business goals, based on an assessment of your current processes and data. It identifies which use cases are worth pursuing first, what needs to happen before each one can go live, and how success will be measured. Good AI strategy consulting produces a roadmap tied to your operations.
If AI tools have already been introduced without a clear plan, or if you’re fielding requests from teams wanting AI but have no way to assess them, that’s a sign you need AI adoption strategy consulting services. It’s also worth bringing in a consulting service if you’re unsure how AI implementation would affect data quality, compliance, or existing business apps. The earlier this happens, the fewer problems there are to unwind later.