Is your data ready for AI?

Most organizations invest in AI tools like Microsoft Copilot, but struggle to get value because their data is not ready, fragmented, unstructured, and unreliable. Xillio helps you classify, clean, and structure enterprise content so it becomes usable, trusted, and ready for AI and migration. 

Why Copilot Struggles with Specialized Knowledge and How to Fix It
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Why Copilot Struggles with Specialized Knowledge and How to Fix It

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AI is only as good as your data

AI solutions like Copilot depend on high-quality, well-structured data. In reality, most enterprise content is:

  • Stored across multiple legacy systems
  • Poorly classified or missing metadata
  • Duplicated, outdated, or irrelevant
  • Difficult to access and trust

Without structured and reliable data, AI cannot deliver meaningful results.  

Enterprise professionals analyzing structured data on screens to prepare information for AI adoption and data migration

What makes data AI-ready?

Data readiness is about making your content:

Structured and consistently classified

Structured and consistently classified

Accessible across systems

Accessible across systems

Clean and free of outdated content

Clean and free of outdated content

Governed and compliant

Governed and compliant

Enriched with meaningful, searchable metadata

Enriched with meaningful, searchable metadata

Why organizations struggle with data readiness?

  • Still relying on legacy systems like Documentum, FileNet, and OpenText
  • Inconsistent or missing metadata 
  • Large volumes of unstructured content 
  • Teams are overwhelmed by the scale and complexity of their enterprise data
  • Lack of visibility into what data exists
  • Unknown or unmanaged sensitive data (PII)

Xillio helps organizations step by step to take a structured and practical approach by using our software, solutions, experience and best practices.

Abstract visualization of enterprise servers and data infrastructure supporting large-scale content migration and AI-ready data processing

 From fragmented content to AI-ready data 

Xillio Data Readiness combines automated classification with practical data cleanup and migration expertise, turning complex content landscapes into structured, usable data.  

Understand your data

Understand your data

  • Analyse your content landscape
  • Identify risks, duplication, and ROT
  • Gain visibility into metadata quality

Classify and enrich at scale

  • Automatically classify documents into categories
  • Detect topics, keywords, and sensitive data (PII)
  • Enrich metadata across large datasets
  • Apply consistent structure to unstructured content

Clean and prepare

  • Remove outdated and duplicate content
  • Standardise and improve metadata
  • Reduce risk and improve data quality

The missing step between data and AI
 

Business and IT specialist reviewing enterprise content and metadata on dashboards

Most organizations attempt to use AI on data that was never designed for it.

Automated classification and enrichment ensure that:

  • Content is understandable for both users and AI
  • Metadata is consistent and meaningful
  • Sensitive data is identified and managed

Without classification, both AI and migration operate on incomplete and unreliable data.

Typical use cases

Data preparation for AI

Preparing for AI use like Microsoft Copilot

Data clean up

Cleaning up legacy environments before migration

Data quality

Improving data quality and governance

Security

Identifying and managing sensitive data (GDPR / PII)

Trusted by Organizations
Managing Complex Enterprise Content

A UK Investment Firm’s Next-Level Migration
A UK Investment Firm’s Next-Level Migration

A UK Investment Firm’s Next-Level Migration

Migrating unstructured content from FileNet to SharePoint Online
Migrating unstructured content from FileNet to SharePoint Online

Migrating unstructured content from FileNet to SharePoint Online

Migration to a new case management system for CtGB
Migration to a new case management system for CtGB

Migration to a new case management system for CtGB

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FAQ

What is data readiness for AI?

Data readiness means ensuring your data is structured, clean, classified, and accessible so AI tools can deliver accurate and relevant results.

Why is data quality important for AI?

AI outputs depend entirely on input data. Poor-quality or unstructured data leads to unreliable insights and low adoption.

Do I need data readiness before migration?

Yes. Preparing and cleaning data before migration reduces risk, lowers costs, and improves long-term usability.

How does Xillio support data readiness?

Xillio combines automated classification, metadata enrichment, and data cleanup with deep migration expertise to make enterprise data AI-ready.

Start with your data

Make your data work for successful AI adoption, not against it

Unsure where to begin? Contact us

Our experts are here to help!