Notion introduces AI agents that automate complex workspace tasks

Notion has launched Notion Agent as part of its 3.0 rollout, introducing AI-powered autonomous agents that can perform complex tasks across the platform without human intervention. The company describes these agents as digital teammates capable of doing “everything a human can do in Notion,” marking a significant shift from manual page and database construction to fully automated workspace management.

What you should know: The Notion Agent represents a major evolution in how users interact with the productivity platform, moving beyond simple AI assistance to autonomous task execution.

• Agents can perform up to “20 minutes of autonomous work at a time across hundreds of pages at once,” according to the company’s press release.
• Unlike previous manual workflows, agents now build pages and databases automatically for users while maintaining their preferred working styles.
• The agents can search beyond Notion workspaces, pulling information from connected tools like Slack and across the internet.

How it works: Each agent operates with personalized profiles that adapt to individual user preferences and workflows.

• Agents form plans and execute them independently, remembering user preferences such as which content to reference and where to file information.
• These “memories” are stored in editable user profiles that can be customized over time.
• Users can currently create multiple behavioral profiles for their agents, with fully automated and customized agents planned for future release.

Key use cases: Notion positions the agents as solutions for complex, multi-step business processes that traditionally require significant manual effort.

• Generating and editing email campaigns across multiple touchpoints.
• Collecting and analyzing feedback from various platforms into consolidated reports.
• Converting meeting notes into actionable emails and formal proposals.

What they’re demonstrating: Cofounder Akshay Kothari previewed the agent capabilities through practical examples that showcase real-world applications.

• He demonstrated creating a tracker of cafes he has visited using the agent’s autonomous capabilities.
• Another example showed the agent building a movie database based on Rotten Tomatoes scores, illustrating how agents can pull external data and organize it within Notion.

Why this matters: This launch positions Notion as a serious competitor in the enterprise AI automation space, potentially reducing the time knowledge workers spend on routine organizational tasks while maintaining personalized workflows at scale.