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Turn Your Organisational Knowledge Into AI That Delivers

AI Needs More Than Information. It Needs Meaning.

Organisations have never had more information. Customer records, documents, emails, projects, financial data, operational systems, policies, processes and knowledge all exist across the business. The challenge is no longer whether that information exists. The challenge is making it useful.
To be genuinely effective, AI needs to understand the context around your organisation: who the customer is, what happened previously, what process should be followed, who is responsible, what information can be trusted and what is relevant right now. That is the difference between AI that simply responds and AI that helps people make better decisions, take the right action and get work done.
For Copilot, AI Agents and intelligent applications to deliver meaningful value, they need more than access to data. They need to understand what that data means, which information can be trusted, how your organisation works and what should happen next.
CPS helps organisations connect trusted data, business knowledge and organisational context so AI can move beyond simply generating answers. We help create the foundations for better decisions, smarter automation and more intelligent ways of working.

The Data Challenge Behind AI

Your AI Is Only As Good As The Foundations Behind It

  • Disconnected Information: Important information can sit across CRM, ERP, SharePoint, spreadsheets, documents and specialist applications.
  • Poor Data Quality: Inconsistent, duplicated or incomplete information reduces confidence in AI outputs.
  • Knowledge That Is Difficult To Find: Organisational expertise often exists in documents, people’s experience and disconnected systems.
  • Permission Complexity: AI needs access to the right information without exposing information it shouldn’t see.
  • Lack Of Context: Data without context doesn’t tell AI what matters or what action should follow.
  • Data Silos: Different teams can operate from different versions of the truth.

The result?

People spend time finding, checking and interpreting information before they can actually use it.

 

What If Your Organisation's Knowledge Was Instantly Accessible?

Imagine an employee could ask: “What’s our policy for this situation?”

and receive a relevant answer based on trusted organisational information.

Imagine a project manager could ask: “What are the biggest risks across my projects?”

and receive an answer based on current project information.

Imagine a salesperson could ask: “What has changed with this customer since our last meeting?”

and instantly understand the relationship.

Imagine a customer service agent could ask: “What’s happened with this customer and what should I do next?”

and receive the context they need.

That’s the potential of connected data and organisational intelligence.

From Data To Intelligence

There Is A Difference

Traditional data platforms answer: “What information do we have?”

Analytics answers: “What does the information tell us?”

AI takes the next step: “What should I understand or do because of it?”

That progression is important.

  • Data: The information you hold.
  • Knowledge: What your organisation knows.
  • Context: Understanding how information relates to people, processes and circumstances.
  • Intelligence: Insights, recommendations and understanding.
  • Action: Copilot, Agents and people using that intelligence to get things done.

CPS helps organisations connect these layers.

The Intelligence Foundation For AI

Microsoft provides a powerful ecosystem for connecting data, applications, knowledge and AI.

Rather than treating each technology as a separate product, CPS helps organisations understand how they can work together.

Create A Trusted Business Data Foundation

Dataverse provides a secure, scalable data platform used across Dynamics 365 and Power Platform.

It can help organisations:

  • Connect business information
  • Create consistent data structures
  • Secure information
  • Support business applications
  • Provide trusted data for AI and Agents

Why it matters for AI

Agents and Copilot experiences need reliable business information.

Dataverse provides an important foundation for connecting that information to intelligent applications.

The Connected Intelligence Ecosystem

The Real Value Comes From Connecting The Pieces

Consider a customer service scenario.

This example is the intelligent organisation taking shape.

Dynamics 365

Provides the customer relationship and case information.

Dataverse

Provides the underlying business data.

Microsoft Graph

Provides relevant collaboration and organisational context.

Fabric

Connects wider organisational data and analytics.

Purview

Helps protect and govern the information.

Copilot

Helps the employee understand and use it.

AI Agent

Can take action based on the information and defined process

Data For AI Agents

Agents Need Context To Act Intelligently

An Agent that only knows its instructions has limited value.

An Agent that understands:

  • The customer
  • The process
  • The relevant policy
  • Previous interactions
  • Current status
  • Available options
  • Who is responsible
  • What it is allowed to do

can become significantly more useful.

That’s why data and intelligence are fundamental to the Agent-First organisation.

 

AI Data Readiness

Is Your Data Ready For AI?

Before scaling AI, organisations should consider:

  • Quality: Can you trust the information?
  • Accessibility: Can AI access the right information when it needs it?
  • Structure: Is your information organised in a way that supports intelligent applications?
  • Context: Does AI understand what the information means?
  • Permissions: Can information be accessed securely and appropriately?
  • Governance: Do you know how information should be used, retained and protected?
  • Integration: Can your systems work together?

Common AI Data & Intelligence Opportunities

  • Customer Intelligence: Connect customer information across sales, marketing and service.
  • Organisational Knowledge: Make policies, procedures and expertise easier for employees and AI to access.
  • Project Intelligence: Bring together project information, risks, actions and reporting.
  • Operational Intelligence: Connect data from different systems to improve understanding of performance.
  • AI-Ready Data: Prepare information environments for Copilot and AI Agents.
  • Enterprise Analytics: Create a connected foundation for reporting, insight and AI.

The Outcomes

What Happens When Your Data Becomes More Intelligent?

  • Better Answers: Give people and AI access to more relevant and trusted information.
  • Faster Decisions: Reduce the time spent gathering and interpreting information.
  • Less Searching: Make organisational knowledge easier to discover.
  • Greater Confidence: Improve trust in the information used for decisions and AI.
  • Smarter Automation: Give workflows and Agents better information to work with.
  • More Powerful AI: Enable Copilot and Agents to understand more of your organisation.
  • Connected Intelligence: Move beyond isolated data sources towards a more complete view of the organisation.

Data Governance Still Matters

Connected Doesn’t Mean Uncontrolled

Making information available to AI doesn’t mean making everything available to everyone.

The opposite should be true.

AI needs to operate within the same principles that govern people:

Who can access it?

What can they see?

What can they do with it?

What information is sensitive?

What should be retained?

What should be restricted?

That’s why data, security and governance need to develop together.

Trusted data + appropriate access + responsible governance = AI you can scale with confidence.

The CPS Approach

Build The Foundations Before You Scale The Intelligence

Discover

Understand where your information lives and how it is currently used.

Connect

Bring relevant data and systems together.

Structure

Create consistent and usable data foundations.

Govern

Apply appropriate security, permissions and information governance.

Enable

Make trusted information available to applications, Copilot and Agents.

Intelligence

Use data to generate insights and improve decision-making.

Act

Turn intelligence into action through people, automation and AI Agents.

Why CPS?

We Connect Data To The Outcomes You Want From AI

Data transformation can easily become a technology exercise.

CPS keeps the focus on what you’re trying to achieve.

  • We Start With The AI Opportunity: What do you want AI to help people or the organisation achieve?
  • We Understand The Microsoft Ecosystem: Dataverse, Fabric, Graph, Power Platform, Dynamics 365, Copilot and Agents can work together.
  • We Connect Technology To Business Processes: Data becomes more valuable when it supports real work.
  • We Understand Security And Governance: Data must be trusted and protected before AI can be scaled responsibly.
  • We Think Beyond Data: The goal isn’t simply better data.

It’s better decisions, better experiences and more intelligent ways of working.

Ready To Start Your AI Journey?

Make Your Data Work Harder For AI

You don’t need perfect data to start your AI journey.

You do need to understand:

What information matters?

Where does it live?

Can you trust it?

Can AI access it safely?

How can it create better outcomes?

CPS can help you answer those questions and build the foundations for AI that understands your organisation.

Talk To CPS About Data & Your AI Opportunity

    Your Next Stage: AI Security & Governance

    The more information you make available to AI, the more important security, identity and governance become.

    The next stage of the journey explores how to scale AI safely, protect information and build trust in AI-powered working.

    Explore AI Security & Governance → LINK

    Frequently Asked Questions

    What does AI-ready data mean?
    Why does AI need good data?
    What is Microsoft Dataverse used for?
    What is Microsoft Fabric used for?
    How does Microsoft Graph support AI?
    What is Work IQ?
    What is Foundry IQ?
    Do we need to fix all our data before adopting AI?
    How does data security relate to AI?
    How can CPS help?