7 Best Notion AI Alternatives for Teams in 2026

Notion describes its AI as a built-in teammate that works in pages, documents, tasks and databases, using workspace and connected-app context. Notion Agent creates and edits pages and databases on demand, and Custom Agents run shared workflows on schedules or triggers.

Write-ups on alternatives give a handful of reasons teams look around: less setup and template building, and dedicated project workflows, research synthesis across many documents, and AI that carries out tasks across other tools.

We compared seven tools on three questions: where each tool does its work, whether it can act in other tools, and how a person reviews it. Product details were checked on each vendor's own site on 3 October 2026. Kylon is our product, so it is listed first.

Quick comparison

1. Kylon

Kylon is a workspace where agents are members of the team, each with its own identity, memory, skills and permissions. Several can sit in the same Room with the people they work for.

• Where the work happens: You ask in a Room. The agent reads the thread and posts the result back into it, so the request and the review stay together.
• Across tools: Agents reach your accounts through Connections, with more than 3,000 services available, including the docs and project tools you already use.
• Approval: Sensitive actions stop as a draft until the person who asked approves them.
• Team records: Apps give the team trackers and internal tools with their own data, next to the conversation, readable and writable by agents.
• Repeat work: A run you want again is saved as a workflow on a schedule or trigger.
• Several agents: Different agents can carry different parts of a piece of work and hand off to each other in the same thread.
• Bring your own agents: Claude Code, Codex and Devin can join a Room as members, next to the business agents.

Best for: teams that want AI to finish shared work across tools, not only inside one document. See also Kylon vs Notion AI vs Glean.

2. ClickUp Brain

ClickUp positions Brain as company AI that collaborates with teams using their shared context.

• Where it works: Brain uses tasks, Docs, Chat and wikis as context, from the command bar, tasks, Docs, comments and Chat.
• Memory: It keeps memory of a person's role, collaborators and preferences.
• Agents: Super Agents can be assigned tasks, messaged or mentioned in the workspace.
• Tools: Brain supports MCP connections and can read and write in Gmail and Slack.

Best for: project managers, operations leaders and marketing teams who plan work in ClickUp.

3. Superhuman Docs (formerly Coda)

Superhuman positions Docs as a shared surface where teams and AI work together with documents, data and workflows.

• Where it works: Docs AI runs in a chat panel inside the document, drafting content, building tables and handling comments.
• Context: People reference pages, tables and rows, and AI columns apply prompts to each row.
• Tools: Two-way integrations sync with Jira, Salesforce and Asana and let people take actions from the doc.
• Outside AI: A Docs MCP connection lets ChatGPT, Claude and Cursor read and write in Docs.

Best for: product, marketing, sales and operations teams building shared hubs.

4. Atlassian Rovo with Confluence

Atlassian positions Rovo as AI that understands the business through context across people, projects and code.

• Where it works: Rovo agents are available in Chat, Studio, automation rules and the Confluence and Jira editors.
• Knowledge: Agents draw on Confluence, Jira, Google Drive and connected apps.
• Actions: Agents create or edit Confluence pages, create Jira work items and send Gmail messages.
• Review: Consequential actions ask for confirmation before they run.

Best for: teams collaborating on Confluence knowledge and Jira work.

5. Microsoft 365 Copilot with Loop and Pages

Microsoft positions Copilot as AI that connects work content with familiar applications.

• Where it works: Inside Word, Excel, PowerPoint, Outlook and Teams.
• Shared pages: Copilot Pages turns chat responses into editable pages that colleagues co-create in real time.
• Loop: Copilot Pages can appear and be edited in Loop workspaces.
• Agents: Copilot Studio supports business-system integrations, multi-step workflows and approvals.

Best for: Microsoft 365 teams doing shared planning and co-authoring. See also Kylon vs Microsoft Copilot.

6. Dust

Dust describes itself as multiplayer AI that connects company knowledge, tools and teams.

• Where it works: Agents are used in the Dust web app or called from Slack.
• Shared spaces: Pods hold shared conversations, tasks and files.
• Tools: It connects Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk.
• Review: Builders test agents in a preview before sharing them.

Best for: teams building agents on shared company knowledge. See also Kylon vs Dust.

7. Glean

Glean describes itself as an enterprise AI platform that connects company knowledge and context.

• Search: Connectors sync company content into a shared index.
• Where it works: The web app, a browser sidebar, Slack and Microsoft Teams.
• Actions: Configured agent tools can update records, create documents and send messages.
• Review: Write steps pause for confirmation by default in the web app.

Best for: enterprise teams that need search across many systems. See also our Glean alternatives guide.

How to choose

If your team's work lives in one tool, the AI built into that tool is the shortest path: ClickUp, Superhuman Docs, Confluence or Microsoft 365. If the work moves across several tools and several people, look for agents that can act in those tools, in a place the whole team can see, with a person approving what goes out.

Kylon is built for that second case. Plans are on the pricing page.