A managed Microsoft Fabric platform
for AI outcomes.
Most organisations already know where AI could help. The bigger challenge is building the governed data foundation to support it. We build and run your managed Microsoft Fabric platform end-to-end, connecting and governing your data so it can support reporting, analytics and real-world AI use cases.
Managed Microsoft Fabric
AI is only as good as the data underneath it.
Many AI programs struggle because their underlying data is fragmented and ungoverned, making them hard to operationalise. This can lead to slow delivery, unreliable results, duplicated efforts and increased risk.
That’s where our Managed Data Platform for AI comes in. We use Microsoft Fabric to create a governed, connected data environment that simplifies processes, accelerates reporting and gives your teams a reliable foundation for analytics, automation, and AI.
- Minimise the risk of unreliable AI outputs
- Shorten the journey from raw data to usable insight
- Transform random experimentation into focused, prioritised use cases
- Create an environment for AI to thrive and deliver measurable business value
Value you see
Get more value from your data, faster.
An AI-ready data platform that gives your team speed, control, visibility and reduced risk.
We take on the implementation, governance and ongoing management of your Microsoft Fabric environment, so your team can stop firefighting fragmented data and start delivering real AI outcomes. A managed fabric service that brings structure to your data and real momentum to your AI strategy.
Faster time to value
Prioritise the most important data and use cases first, so you see outcomes sooner.
Built-in governance
Apply structure, lineage and access control from day one across your governed data platform.
Simplify your platform
Consolidate fragmented tools into a unified data platform solution built on Microsoft Fabric.
Cost visibility and control
Track platform usage and manage spend with stronger visibility and accountability as you scale.
Real AI readiness
Move from “AI curious” to trusting your data and production-ready use cases.
Continuous improvement
Your managed Microsoft Fabric platform evolves with your business, not a one-off project.
Common use cases
Where a managed data platform creates value.
How a governed data platform can help you move from scattered data to real AI outcomes.
Unify fragmented data
Create a single, trusted view across cloud, SaaS and on-prem with a more unified data platform solution for reporting, analytics and AI, so teams stop working from conflicting information.
Improve reporting and self-service insight
Give business teams faster access to reliable, governed information through a cloud-based data analytics data platform, without depending on manual reporting processes.
Prioritise AI investments
Identify the AI use cases most likely to deliver measurable value, instead of chasing low-impact experiments.
Build AI agents on trusted data
Move beyond AI readiness by building agents and experiences that operate on governed enterprise data and trusted analytics.
Cut through data sprawl
Reduce the complexity of disconnected tools and duplicated pipelines with a more unified, governed data platform solution.
AI insights report
Why AI programs struggle and how to fix it.
AI outcomes depend on more than models. Organisations need trusted data, governance and a clear operating model to build an AI-ready data platform that will help them move beyond experimentation and deliver measurable value.
This report shares what we’ve learned from helping organisations move from disconnected data and fragmented AI experiments to a governed data platform that prioritises use cases and delivers measurable AI outcomes.
You’ll learn:
- Why most AI investments struggle to deliver return
- What modern governed data foundation looks like
- How to move from experimentation to scaled use cases
How it works
A practical path from AI chaos to value.
We take a practical approach to modernising data in a managed Microsoft Fabric platform. Instead of rebuilding everything at once, we start with the data and use cases that matter most, then progressively move you from a disconnected and inconsistent environment to a structured, governed data platform ready for analytics and AI.
That gives you a clear path to value while reducing the cost, complexity and risk of transformation. That path covers five practical steps:
- Connect and ingest priority data sources aligned to AI use cases
- Structure and improve data quality
- Apply governance, lineage and access control
- Enable reporting, self-service BI and trusted insight
- Support AI use cases and agent deployment on top
What's included
What we handle for you.
Our Managed Data Platform is designed to support enterprise AI outcomes because it’s delivered as a fully managed operating model, not a one-off implementation project. We build, manage and continuously improve your Microsoft Fabric environment, so your teams can focus on insight, reporting and AI outcomes instead of platform complexity.
Your data estate is mapped and governed from the start, with AI agents and self-service BI built on trusted enterprise data.
Migration included
Migration is included from day one, so you avoid a separate data modernisation project before value begins.
No fixed end state
Unlimited changes mean the managed data platform can evolve with business priorities without constant re-scoping.
No handover gap
The team that builds your Microsoft Fabric platform also manages and improves it over time.
No hidden cost growth
Built-in cost tooling provides visibility and stronger control over your managed data platform.
No governance bolted on later
Governance, lineage and access control are embedded from the start using Microsoft Purview.
No shortage of engineering depth
No shortage of engineering depth
Connected data from day one
Connect data across cloud, SaaS and on-prem into a unified Microsoft Fabric platform.
Automated pipelines, continuously managed
Automated and monitored data pipelines, with ongoing build support as your environment evolves.
Evergreen operations built in
Continuous updates and optimisation keep your platform current without adding operational overhead to your team.
24x7 Australian support
Local engineers who know your environment, with round-the-clock support and continuity of knowledge across your managed Microsoft Fabric platform.
Why Macquarie Cloud Services
Why organisations trust us to deliver AI outcomes.
We build, run and continuously improve governed data platforms that support analytics and AI at scale.
Deep Microsoft expertise
Proven Microsoft capability and accreditations that support enterprise-grade delivery
We build it and run it
The team that designs your Microsoft Fabric platform also manages and improves it over time.
A model built for momentum
Reduce friction and keep your managed data platform moving with migration costs included and unlimited changes.
Real-world AI delivery experience
Practical experience delivering governed data and AI-ready platforms, not just advisory or implementation projects.
24x7 Australian
support
Local engineers who know your environment, with continuity of knowledge and round-the-clock support.
Security and governance built in
Designed for organisations that need strong governance, compliance and operational control from day one.
Our technology ecosystem spans Microsoft and the adjacent platforms used to build and run governed, AI-ready data platforms.
Contact us
Talk to an expert about your data and AI roadmap.
Whether you’re consolidating your data estate, improving reporting or preparing for AI, we’ll help you take the next step.
- 1800 004 943
- Level 15, 2 Market Street Sydney, NSW, Australia
- Follow us on LinkedIn!
FAQs.
What is Microsoft Fabric and how does it support AI?
Microsoft Fabric is a unified data platform that brings data integration, analytics and AI together in one environment. It allows organisations to connect, structure and govern their data, creating a foundation that supports reporting, analytics and AI use cases
Why use a managed Microsoft Fabric platform?
A managed data platform is designed for enterprise AI outcomes because it combines implementation, governance, optimisation and operational support into one operating model. Instead of handing over the platform after deployment, we continuously manage and improve the environment so your managed Microsoft Fabric platform evolves with your business needs.
What are the benefits of a managed Microsoft Fabric platform?
A managed Microsoft Fabric platform reduces operational complexity by combining platform management, governance and support into a single service. It also provides stronger cost visibility, ongoing optimisation and a clearer path to AI-ready data and analytics.
Can we start small and expand our managed data platform over time?
Yes. We take a progressive approach that focuses on the data and use cases that matter most first. Using a structured maturity model, your managed data platform can evolve over time without needing to rebuild everything at once.
How does a governed data platform support AI outcomes?
AI depends on trusted data. A governed data platform improves data quality, lineage and access control, helping organisations move from experimentation to scalable AI use cases with lower operational risk.
Can Microsoft Fabric help reduce data platform complexity?
Yes. Microsoft Fabric helps consolidate fragmented tooling into a more unified data platform solution for reporting, analytics and governance. This reduces operational overhead and simplifies enterprise data platform architecture across the business.
What does migration costs included actually mean?
Migration into Microsoft Fabric is included as part of the service from day one. That includes moving your existing data environment into Fabric without requiring a separate migration project or additional migration fees upfront.
Can you help modernise a legacy data warehouse to Microsoft Fabric?
Yes. We help organisations modernise legacy data environments by migrating reporting, analytics and data workloads into Microsoft Fabric as part of a broader managed data platform strategy.
Can you help us build AI agents as well as the platform?
Yes. Our data platform management services extend beyond operations and data readiness. We can help design and deploy AI agents and experiences that operate on governed enterprise data in Microsoft Fabric, Azure AI Foundry or private cloud environments.
What is the difference between a managed data platform and a self-managed approach?
A managed data platform supports enterprise AI because it combines governance, optimisation, support and platform operations into a single service. A self-managed approach typically requires internal teams to separately manage infrastructure, pipelines, security and ongoing platform maintenance.
From our experts
Explore our insights.
Discover our practical guidance on data readiness, governance, AI delivery and cost control.
Shaun Domingo
July 1, 2026
Tharindu Ruwanpathirana
April 22, 2026
Macquarie Technology Group
April 15, 2026