Preserve AI Context During Tenant Migration with CloudFuze

We announced in May 2026 that CloudFuze now supports AI app migration, including migration of conversations, context, and artifacts across popular AI assistant platforms such as Copilot and Gemini.

Now, AI context migration is part of tenant migration. This means that organizations migrating from one tenant to another can now include AI context in the migration scope along with other standard scopes, including files, folders, emails, calendar, contacts, and chat messages.

Key Takeaways:

  • AI app/context migration is now part of tenant migration with CloudFuze.
  • Copilot to Gemini, Gemini to Copilot, Copilot to Copilot, and Gemini to Gemini are the supported and tenant-aligned paths.
  • Migrating from Claude to Copilot and Gemini is also now supported.

AI Context Migration During Tenant Migration

Apart from being available as standalone solutions, AI app migration paths, such as Gemini to Copilot and Copilot to Gemini migration, are now part of CloudFuze’s cross-tenant migration solution.

Cross-Tenant Migration Categories AI Context Migration Supported by CloudFuze
Microsoft 365 to Microsoft 365 tenant migration Copilot to Copilot migration
Microsoft 365 to Google Workspace tenant migration Copilot to Gemini migration
Google Workspace to Google Workspace tenant migration Gemini to Gemini migration
Google Workspace to Microsoft 365 tenant migration Gemini to Copilot migration

These AI migration paths support preservation of:

  • User conversations
  • Context
  • Artifacts/attachments

Since AI assistants have become integral to user productivity, preserving them during tenant migration is now as important as migrating content, chat messages, mailboxes, calendars, contacts, and more.

Support for Newer AI Apps and Migration Paths

Claude is also now supported for AI context, conversation, and artifact migration. The supported paths include:

  • Claude to Copilot migration
  • Claude to Gemini migration

Support for other AI apps, including ChatGPT, Codex, Claude Desktop, and Gemini Enterprise are in development and will be available by Q3 and Q4 2026.

Why 2026 Migrations Can’t Ignore AI Context

For years, migrating across tenants meant moving files, folders, emails, and chat messages. That’s not enough anymore. AI is woven into daily work now. Assistants tuned to a team’s writing style. Chatbots trained on internal knowledge. These use case-specific context live in users’ conversations and interactions with AI tools.

Leaving them behind during tenant migration means missing out on AI workflows that are integral to individual and team-level productivity. AI context is now part of organizational data that cannot be missed out in migrations, in 2026 and beyond.

If you are planning a tenant migration and want to make sure your AI context moves too, talk to our team. Book a free consultation or demo and we will walk you through how it works.

Frequently Asked Questions

1. What is AI context migration?

AI context migration is the process of migrating AI conversation history, context, and artifacts from one AI chat platform to another, such as from Copilot to Gemini, Gemini to Copilot, and many more.

2. What are the best tools for AI context migration in cloud environments?

Since AI context migration is a fairly new category, very few providers support it end-to-end. CloudFuze’s AI App Migration Tool is built specifically for this. It supports AI migration paths like Gemini to Copilot and Copilot to Gemini as part of broader tenant migrations. This way organizations can ensure their AI context migrates along with files, folders, chats, emails, calendars, and contacts.

3. How to migrate AI context data between different platforms?

With CloudFuze, the process depends on the migration path. For Gemini to Copilot, conversations are exported and converted into OneNote files that get migrated to each user’s OneDrive, and a Gemini Conversation Assistant agent is then deployed in Copilot to surface them.

For Copilot to Gemini, conversations are exported as Google Docs into each user’s Google Drive, and users create Gemini Gems that index those docs to answer questions with source references. Both paths include user mapping, a dry-run option, date-range selection, and migration reporting to validate the results.

About the Author: Pankaj Rai

Pankaj Rai, at CloudFuze, constantly seeks to help IT managers, business leaders, and decision-makers access insights critical to strategizing and making informed decisions on AI-ready cloud migrations and SaaS and AI governance.