Data and AI solutions.
Ready to turn your data foundations into AI outcomes?
Whether you’re still building your data foundations or already running AI pilots, we help Australian organisations move from fragmented data and rising costs to AI that works in production. We meet you where you are.
Overview
Two paths. One outcome: AI in production.
Some organisations are trying to figure out where to start. Others are already running AI pilots but struggling with rising costs, fragmented governance, or the gap between experiment and production. Both problems are real. Both are solvable.
- AI costs are rising unpredictably as token-based platforms scale with usage.
- Data is scattered across systems, making it hard to trust and harder to act on.
- Governance and compliance requirements are tightening across regulated industries.
- Internal teams lack the bandwidth to operationalise AI at the pace the business demands.
We offer two distinct entry points: a managed data platform that builds the governed foundation your AI needs, and a sovereign AI service that helps you run models in production without infrastructure complexity or cost blowouts.
Solutions
The right solution, built for where you are now.
Choose the path that matches where you are on your AI journey.
We build and run your governed data foundation on Microsoft Fabric, connecting your data across systems and enabling reporting, analytics and real AI use cases.
Run sovereign AI as a managed service in Australia. Predictable pricing, no GPU ownership, and full control over your data, prompts and outputs.
Insights report
AI outcomes delivered.
AI adoption is accelerating, but success isn’t keeping up. Across Australia, 76% of leaders admit their data isn’t AI-ready, leaving most projects stuck in pilot mode. The problem isn’t the technology, it’s the foundations: trusted data, governance and a culture ready to act.
In this report, we share what we’ve learned first-hand from deploying AI across our own business and with our customers. What works, what doesn’t, and how to close the gap between ambition and real outcomes.
In this report, you’ll learn:
- Why most generative AI pilots fail – and the two foundations shared by every success story.
- How to build AI outcomes on trusted data, strong governance and a culture ready to act.
- How we’re using AI across our own operations to cut response times, uncover insights and scale securely.
The organisations pulling ahead aren’t waiting for perfect data. They’re starting with what they’ve got, governing it properly, and building from there.
Value you see
Get more from your data and AI investments.
Managed data and AI solutions designed to move your organisation from AI curiosity to real operational outcomes.
Faster time to value
Prioritise the data and use cases that matter most, then build from there without rebuilding everything at once.
Built-in control
Structure, lineage and access controls are embedded from the start, not added later when problems appear.
Predictable costs
Whether it’s platform spend or AI consumption, you get visibility and control over costs as you scale.
Sovereign and secure
Our services run in Australian environments, keeping your data foundations and AI outputs onshore.
Production-ready AI
We focus on getting AI into operation, not keeping it in experimentation mode indefinitely.
24/7 Australian support
Our local engineers know your environment and provide support around the clock to keep things running.
Improving operations with AI
Watch how we put AI into action.
Millions of security events are filtered, prioritised and triaged using learned behaviour and threat intelligence. Our analysts spend less time chasing noise and more time protecting customers.
Our Tier 0 agent works inside the ticketing system, learning from documentation and interactions to surface answers instantly and speed up support resolution.
Customer Insights brings together contracts, contacts and interactions to highlight risks and opportunities early, helping our teams have better, more informed conversations.
Common use cases
Where data & AI creates value.
How Australian organisations use our data and AI services to move from fragmentation to real outcomes.
Getting started with AI
For organisations without clear use cases or governed data, we build a unified, trusted data foundation on Microsoft Fabric and help identify where AI can deliver measurable business value.
Scaling AI into production
For organisations already running AI pilots, we provide the sovereign infrastructure and managed platform needed to move from testing to production, with predictable costs and full control.
Running AI under compliance requirements
For regulated industries where data sovereignty, privacy and audit requirements matter most, our Australian sovereign environments keep data and AI outputs onshore and under your control.
Sensitive & Compliance Workloads
For organizations with strict data sovereignty, regulatory compliance, or security requirements, Macquarie Flex provides a private cloud environment with the same Azure services and management experience.
You’re in good company.
Why Macquarie Cloud Services
Why Australian organisations trust us for data and AI.
We build, run and continuously improve the data foundations and AI services your organisation needs to scale AI with confidence.
Sovereign infrastructure
Our services run on infrastructure we own and operate in Australia, keeping your data and AI outputs onshore and under your control.
Proven expertise
As an Azure Expert MSP and MISA member, we combine deep cloud experience with practical data insight.
Strategic partnerships
Our ecosystem includes Microsoft, Dell and a broader network of trusted partners, giving your data and AI projects the right technology foundation.
AI running in our own environment
We’ve deployed AI across our own operations, so we bring practical, no-hype guidance on what’s achievable now and what to plan for next.
Australian support excellence
We hold a live NPS of +91, reflecting the quality of hands-on support and continuity of expertise our customers experience.
Security & compliance focus
From ISO 27001 to PROTECTED certification, our solutions are designed for organisations that need strong governance, compliance and operational control from day one.
Our Data & AI insights
Discover our Data & AI news and insights.
Ready to take the next step?
Talk to one of our data and AI specialists.
Contact us
Ready to move AI from ambition to outcomes?
Speak to a Data and AI specialist about your current environment and your plans for what’s next.
- 1800 004 943
- Level 15, 2 Market Street Sydney, NSW, Australia
- Follow us on LinkedIn!
FAQs.
What is the difference between the Managed Data Platform and Launch AI?
The Managed Data Platform is for organisations that need to build or improve their data foundation, connecting and governing data across systems using Microsoft Fabric. Launch AI is for organisations with defined use cases that want to run AI models in production without managing infrastructure or dealing with unpredictable token-based costs. Both services are designed to move organisations toward operational AI outcomes, and many will use both over time.
Where do I start if I'm not sure which solution is right for us?
We offer a data and AI workshop that helps organisations identify their current state, map high-value use cases, and define the right platform approach. It’s a practical starting point whether you’re early in your data journey or ready to scale AI into production.
How do I prepare my organisation's data foundations for AI and Microsoft Copilot?
Preparing for AI and Copilot starts with making sure your data is accurate, accessible and governed correctly. That means connecting key systems, applying access controls, removing duplicates and establishing lineage so outputs can be trusted. Our Managed Data Platform uses Microsoft Fabric to create that governed foundation, giving Copilot and other AI tools a reliable base to work from rather than surfacing inconsistent or incomplete information.
How does Macquarie Cloud Services support data modernisation projects?
We help organisations move from fragmented, outdated environments to modern, governed data platforms built on Microsoft Fabric. Rather than a one-off implementation, we deliver data modernisation as a managed operating model, building, improving and operating your environment continuously so it evolves with your business. Migration is included from day one, and the team that builds your platform also manages it over time.
How can Macquarie Cloud Services help my business adopt AI responsibly?
Responsible AI starts with trusted data and strong governance. Our Managed Data Platform embeds structure, lineage and access controls from day one, while Launch AI keeps all data, prompts and outputs within Australian sovereign infrastructure. Together, they give organisations the foundations to adopt AI in a way that is auditable, compliant and aligned to internal governance requirements, without slowing down delivery.
What security and compliance features come with your managed services?
Both services include built-in security controls, monitoring and governance aligned to Australian regulatory requirements. Our credentials include Azure Expert MSP accreditation, Microsoft Intelligent Security Association membership, and certifications from ISO 27001 through to PROTECTED. Combined with 24/7 local support from engineers who know your environment, you can be confident your data and AI workloads are protected and compliant.
How much does a data and AI solution cost, and what's included?
Costs vary depending on the size of your environment and the outcomes you want to achieve. Macquarie Cloud Services offers transparent pricing with no hidden extras, and services that scale with your needs. The Managed Data Platform includes migration, unlimited changes and ongoing operations as part of a single service. Launch AI uses capacity-based pricing rather than token usage, making costs more predictable as adoption grows. Getting the foundations right also avoids the costly rework that derails many AI projects.
How can I tell if my business is ready for AI?
Common signs that your data foundations need work include unreliable reporting, data scattered across multiple systems, no clear governance model, or AI pilots that haven’t moved into production.. If your team can’t easily access trusted data, AI will struggle to deliver consistent results. We help organisations assess their current state and build a practical path forward based on where they are, not where they think they should be.
From our experts
Explore our insights.
Explore practical insights and resources designed to support informed decisions, from optimisation to long-term strategy.
Dan Morgan
October 8, 2026
Phillip Wallace
September 30, 2026
Josh Dominguez
September 25, 2026