How to Move Fast with Microsoft Copilot & Fabric

We’ve all seen the hype around generative AI and we’re aware of its ability to enhance business processes and transform analytical capabilities, so why aren’t all businesses using it obtain value from their data? 

AI is not a Silver Bullet 

There is no magic button when it comes to AI. It is not simply a case of ‘adopting’ solutions like Microsoft Copilot to solve data challenges. The quality of your data, the structure of your governance, and the way your people interact with systems all matter and dictate how your business tackles data problems. Before you even ask AI a single question, you need make sure that you: 

• Get your data Copilot-ready: By consolidating content in Microsoft 365, cleaning up ROT (redundant, obsolete, trivial data), and improving data quality, you can deploy a Copilot capability that returns insights you can trust.
• Tighten your security and governance: Not everything should be fed into AI. By identifying sensitive content, rationalising permissions, and enforcing data lifecycles, you can ensure Copilot doesn’t surface yesterday’s payroll in today’s board report.
• Optimise for value: Adopt a framework that makes it easy to track AI adoption and ROI against real business KPIs. Don’t just experiment, prove that it works, and why.

The Role of Microsoft Fabric 

If Copilot is the star, Fabric is the backstage crew. It unifies fragmented sources, enforces security, and supports AI-ready analytics out of the box. 

What Fabric brings to the table: 

• Centralised data estate across Microsoft 365, Azure, SQL, and more 

• Built-in governance – lineage tracking, sensitivity labels, access control 

• Low-code access to curated data via Power BI and Copilot 

• Real-time analytics to support agile decision-making 

Fabric helps you move faster, integrate legacy data more effectively, and avoid AI hallucinations by ensuring Copilot only sees what it’s supposed to. 

From Exploration to Enterprise-Ready 

It’s one thing understanding the value of AI powered solutions like Copilot, but showcasing the potential benefits of AI using your own business’ data to produce real insights can be more challenging. 

TXP’s Copilot and Fabric Proof of Concept is one way to achieve scaled AI adoption, measurable business value aligned with your KPIs, a blueprint for scale, and data confidence, all delivered in 4-6 weeks. Here’s how it works: 

Phase 1: Strategy & Discovery – Defined business goals and high-value scenarios 

Phase 2: Proof of Concept (PoC) Build & Secure Data Seed – Trusted data and secure environment for Copilot 

Phase 3: User testing & Iteration – Performance tuning and feedback loops 

Phase 4: Proof of Value (PoV) to Value Enablement – Proof of business impact and rollout planning 

This is how we help clients move confidently from “can we do it?” to “how can we deliver more value with AI?” 

Real Use Cases, Real Results 

Copilot and Fabric are applicable in so many ways and can enhance any business that is struggling with getting actionable insights from its data. Here’s a few examples of how AI could enhance your business: 

• Copilot in Excel: Automate reporting, spot trends, and generate charts with natural language, not hours of manual work.

• Intelligent ticket tracking: Classify support requests instantly, freeing up time for service desk teams to deliver exceptional support.

• Data storytelling: Unified dashboards from Fabric and Power BI bring previously scattered data into live, visual insights. 

Case Study: Automating Box Office Reporting at Global Scale 

The Challenge
One of our clients, a global film distributor, came to us with a typical data challenge – the manual extraction of cinema ticket sales data, made more complex by extracting this data across multiple continents in multiple languages. 

The Solution
TXP built an AI-powered document recognition pipeline in Azure, connected via Power Automate to their legacy AS/400 system. This was the outcome: 

• 100% automation of the ingestion process 

• Hundreds of hours saved every month 

• Fewer errors in downstream finance processes 

• Scalable solution, across multiple countries and formats
   

Tangible examples of AI using real data is the only way to truly appreciate the value of solutions like Copilot and Fabric. That’s why TXP’s Proof of Concept delivers:

✅ A working, secure Copilot and Fabric solution in 4–6 weeks
✅ Measurable business value aligned with your KPIs
✅ Blueprint for scale: security, governance, and operational readiness
✅ Confidence in your data, and in what AI can do with it

Whether you’re at the early stages of AI exploration, or you’re on the edge of full-scale AI adoption, let’s have a chat about what you want to achieve and help you address those data challenges that are currently holding you back. 

Want to learn more? Get in touch with one of our experts for more information.

Author Details: Peter Burke, Enterprise Architect – TXP