
Content & Archive Modernization
Transform legacy content into a cleaner, trusted foundation for AI.
Content & Archive Modernization
As organizations adopt AI, years of accumulated content across file shares, SharePoint, Teams and other repositories can limit the quality and reliability of AI results.
Stale, redundant and poorly managed content increases technical debt and makes it harder for AI to find and use trusted information.
We help clients clean up, archive, consolidate and migrate enterprise content to create a more reliable and accessible foundation for AI.
What this solution is
Content & Archive Modernization reduces the sprawl and technical debt that hold AI back. We clean up and archive what no longer belongs, consolidate what does, and migrate it to Microsoft 365 so AI can find and use trusted information.
Who this is for
- Organizations with years of content spread across file shares, SharePoint and Teams.
- Teams preparing for Copilot that need trusted, current content to draw from.
- Organizations planning a migration to Microsoft 365 that want to move only what matters.

Our Approach
Discovery & Modernization Planning
- Assess legacy repositories, sites and content
- Identify stale, redundant and obsolete information
- Evaluate content structure, ownership and usage
- Prioritize modernization and migration activities
Content Cleanup & Archiving
- Archive stale and inactive content
- Remove redundant and obsolete information
- Address outdated sites and repositories
- Establish retention and archive practices
Prepare, Consolidate & Migrate
- Prepare and organize content for migration
- Consolidate content into appropriate repositories
- Migrate content to Microsoft 365
- Validate content accessibility and AI readiness
Govern, Measure & Optimize
- Measure modernization and migration progress
- Track content quality and archive effectiveness
- Establish ownership and content lifecycle practices
- Monitor AI search, retrieval and content readiness
What You Get
Ready to modernize your content for AI?
Where This Fits
This service sits in the Build stage of the Taiga AI engagement journey.

