How to Build an AI Agent for Notion and Google Drive

The workflow problem

Organizations transitioning to Notion from Google Workspace face a migration challenge that is far more complex than moving files between folders. Google Drive contains years of accumulated documents, each with its own formatting, comment threads, version history, and sharing permissions. A naive export-import approach strips away the structure and relationships that make these documents useful.

The real difficulty is not the volume of documents but the interconnections between them. A Google Doc references data in a Google Sheet. The Sheet links to a presentation in Slides. Meeting notes in another Doc reference all three. When you migrate the Doc to Notion but leave the Sheet in Drive, the reference breaks. When you migrate everything, you lose the Sheet’s formula logic because Notion databases work differently from spreadsheets. When you migrate nothing, your team lives in two worlds indefinitely with no search spanning both.

Most teams attempt migration as a big-bang project: assign an intern, export everything, import into Notion, done. Three months later, the Notion workspace is full of poorly formatted pages with broken links, the Google Drive is still active because people kept creating documents there during the migration, and the team has less confidence in their knowledge management than before the project started. The migration created a third state, partially migrated, that is worse than either starting point.

Why an AI agent, not just automation

An export script can convert Google Docs to Markdown and import them into Notion. But conversion without intelligence produces Notion pages that look like badly formatted copies rather than native Notion content. Headings get wrong levels, tables lose their structure, embedded images break, and the rich formatting that made the original document readable becomes a wall of monotone text.

An AI agent approaches migration as a content transformation task. It reads a Google Doc and understands its logical structure: this section is an overview, these numbered items are steps in a process, this table is a comparison matrix, this sidebar is a callout with important caveats. It then recreates the document using Notion’s native building blocks: toggle lists for collapsible sections, callout blocks for warnings, database tables for structured data, synced blocks for content that should appear in multiple pages. The result is a Notion page that feels native, not imported.

The agent also makes intelligent decisions about what to migrate and what to leave in place. Not every Google Doc needs to become a Notion page. Spreadsheets with complex formulas might be better left in Google Sheets with a Notion embed. Presentations are better linked than converted. Legacy documents that have not been accessed in two years might not be worth migrating at all. The agent evaluates each document and recommends the right approach rather than treating everything identically.

How it works with ACP

The Agentic Control Plane connects to Google Drive via OAuth with read access to specified folders and to Notion via an integration token with write access to designated workspaces. The agent can read Google Drive documents, their metadata, comments, and version history, and create pages, databases, and content blocks in Notion.

The migration workflow is designed to be incremental and reversible rather than all-at-once. The agent starts with a discovery phase, scanning the designated Google Drive folders and producing an inventory report in Notion. This report categorizes every document by type, last access date, number of collaborators, cross-references to other documents, and a recommended migration strategy for each.

The agent then processes documents according to the chosen strategy. For documents marked “migrate,” it performs intelligent content transformation. For documents marked “link,” it creates a Notion reference page with a summary and an embedded link to the Google Doc. For documents marked “archive,” it creates a minimal catalog entry in Notion noting the document’s existence and location.

Cross-platform search is maintained throughout the migration, whether it takes days or months. The agent indexes content in both platforms so that team members can find information regardless of whether a document has been migrated yet.

Here is an example of the agent handling a complex document migration:

Team lead selects the “Engineering Standards” Google Drive folder for migration. The folder contains 23 documents, 4 spreadsheets, and 2 presentations.

Agent produces an inventory in Notion:

“Analyzed 29 files in ‘Engineering Standards.’ Recommendations:

Migrate to Notion (18 docs):

• Code Review Guidelines (Google Doc, 12 pages) -> Notion page with toggle sections
• API Design Standards (Google Doc, 8 pages) -> Notion page with code blocks
• Incident Response Playbook (Google Doc, 15 pages) -> Notion page with linked database for severity matrix
• …14 more documents

Keep in Google Drive with Notion link (7 files):

• On-Call Rotation Schedule (Google Sheet with formulas) -> Notion embed
• Architecture Overview (Google Slides, 40 slides) -> Notion summary page with embed
• Performance Benchmarks (Google Sheet with charts) -> Notion summary with embedded charts
• …4 more files

Archive (4 docs):

• Deprecated Python 2 Migration Guide (last accessed 18 months ago)
• Old Office Setup Instructions (superseded by new doc)
• …2 more

Should I proceed with these recommendations?”

Team lead: “Proceed, but also migrate the Architecture Overview as a full Notion page, not just an embed.”

Agent begins migration. For the Code Review Guidelines, it converts the Google Doc’s nested numbered lists into Notion toggle blocks, transforms the “Do/Don’t” tables into Notion column layouts with green/red callout blocks, and preserves the document’s comment threads as Notion comments on the corresponding sections. Cross-references to other documents in the batch are updated to point to their new Notion locations.

Once migration is complete, the agent continues monitoring the Google Drive folder for new documents created there, notifying the team and offering to migrate them to maintain Notion as the primary knowledge base.

Governance and security

Document migration involves reading potentially sensitive content and writing it to a new platform, requiring careful permission management.

Google Drive access uses the drive.readonly OAuth scope, restricted to folders explicitly selected during setup. The agent cannot modify, delete, or reorganize Google Drive content. It reads documents for the purpose of transformation but does not alter the originals. This means the migration is non-destructive; Google Drive documents remain intact and accessible throughout the process.

Notion write access is scoped to the specific workspace and pages shared with the integration. The agent creates new pages in the designated target area but cannot access existing Notion content outside the shared scope. This prevents the migration agent from inadvertently modifying pre-existing Notion content.

Permission mapping is handled thoughtfully. Google Drive documents have granular sharing settings: specific users, groups, domain-wide, or public. The agent records these permissions in the migration inventory but does not attempt to replicate them in Notion, since Notion’s permission model is different. Instead, it flags documents with restricted sharing so that administrators can set appropriate Notion permissions manually. Documents marked as “Confidential” or “Restricted” in Google Drive require explicit approval before migration proceeds.

The ACP audit trail provides a complete migration record: which documents were migrated, when, what content transformations were applied, and what cross-references were updated. This audit trail is essential for organizations with document retention policies, as it proves that content was migrated rather than deleted and documents the chain of custody from Google Drive to Notion.

Version history from Google Docs is preserved as a linked reference in the migrated Notion page. The agent does not attempt to recreate Google Doc version history in Notion, but it includes a note linking to the original document’s version history for reference.

Example use cases

• Phased team migration: A department transitions to Notion over three months, with the agent migrating one team’s documents per week, maintaining cross-platform search throughout so no one loses access to information during the transition.

• Content consolidation: An organization with knowledge spread across Google Drive, Notion, and local files uses the agent to identify duplicate documents, recommend the canonical version, and consolidate into Notion with appropriate redirects.

• Knowledge base creation: A team without formal documentation extracts a structured knowledge base from the ad hoc Google Docs accumulated over years, with the agent organizing and categorizing content that was previously scattered across personal Drive folders.

• Compliance documentation assembly: For audit preparation, the agent gathers policies, procedures, and evidence documents from Google Drive and assembles them into a structured Notion workspace with consistent formatting and cross-referencing.

• Post-acquisition integration: When two companies merge, the agent maps knowledge assets across both organizations’ Google Drive instances and consolidates them into a unified Notion workspace, identifying overlapping documentation and conflicting procedures.

Getting started

Start your Google Drive to Notion migration in three steps:

1. Sign up at cloud.agenticcontrolplane.com and create your workspace.
2. Connect your tools by authorizing Google Drive and Notion on the Data Sources page. Select the Drive folders to scan and the Notion workspace where migrated content should land.
3. Describe your agent: “Scan the selected Google Drive folders and produce a migration inventory in Notion. For each document, recommend whether to migrate fully, link, or archive. Migrate approved documents with intelligent formatting. Maintain cross-platform search during the transition.”

Your first inventory report will be ready within minutes, giving you a clear picture before any content moves.