Hive’s AI-enabled workspace brings an AI layer directly into the flow of your team’s work, helping you move faster across projects, messages, email, approvals, dashboards, and more.
Instead of switching tools or manually sorting through workspace information, you can use AI and Buzz to summarize context, draft content, create actions, surface insights, and turn everyday work into clear next steps.
With AI-enabled apps, teams can get support from AI throughout their workflow, from general workspace assistance to email drafting, proofing feedback, dashboard analysis, and other AI-powered experiences.
How to turn on AI enabled workspace
Our AI-Enabled Workspace adds a deeper AI operating layer to Hive. It allows Buzz to work with more workspace context and help teams complete work across projects, actions, notes, messages, workflows, and connected systems.
To turn on your AI-enabled workspace, visit your Hive Apps page. You'll see the AI Enabled workspace section at the top, and there will be a button on the upper right that says "Enable."
You can click that button to test the AI enabled workspace for 14 days with our apps trial. Pro tip: If you're unable to turn the AI enabled workspace on, it might be because you're not an admin. But your workspace admin can enable the trial for you!
Which apps does this enable?
Your AI enabled workspace is made up of these specific functionalities:
1. Buzz Assistant
Buzz Chat is the interface where you talk to Buzz, while Buzz Assistant in the Apps page is the workspace app/control that makes Buzz available and governs its workspace-level AI functionality.
2. Buzz Mail
The AI layer for working with email inside Hive and Hive Mail. It helps you handle messages faster without leaving your workspace.
Common uses include:
Drafting replies in your voice and tone
Summarizing long email threads
Pulling out next steps from an email
Turning emails into Hive actions
Helping prioritize or triage emails
Suggesting follow-up tasks, especially when someone asks for a form, material, asset, or deliverable
Using workspace context so replies can reference projects, tasks, or internal details when relevant
Important note: Buzz can help create or edit email drafts for you to review, but does not directly send emails on your behalf. You stay in control and approve before sending.
3. AI Proofing
The AI layer for Hive’s Proofing & Approvals workflow. It helps teams review creative or document assets faster by using Buzz to summarize, compare, and extract feedback from proofs.
Here's a breakdown of the AI proofing features below:
Feature | What it does |
Proof summaries | Summarizes the proof, review context, or feedback thread so reviewers can catch up quickly |
Feedback extraction | Pulls out requested changes, blockers, and open questions from proof comments |
Revision comparison | Helps identify what changed between proof versions, when available |
Review prep | Turns proof feedback into a clear checklist for the owner or creative team |
Approval support | Helps clarify what still needs approval, who has reviewed, and what is unresolved |
Task follow-up | Converts feedback into Hive actions or subactions so requested changes do not get lost |
Proofing & Approvals is the app that lets your team review files, collect feedback, and route approvals.
AI/Buzz Proofing helps with the thinking and organization around that process, like:
“Summarize all feedback on this proof.”
“What changes are still unresolved?”
“Create tasks from the requested edits.”
“Draft a response to the reviewer.”
“What needs to happen before this can be approved?”
4. AI Dashboards
AI Dashboards is the Buzz-assisted layer for Hive Dashboards. It helps you create, interpret, and refine reporting without needing to manually build every chart or filter from scratch.
What it helps with
Feature | What it does |
Dashboard creation help | Helps turn a reporting question into a dashboard structure, such as widgets, metrics, and filters |
Chart suggestions | Recommends the best visualization for the data, like bar charts, line charts, tables, or status breakdowns |
Metric summaries | Explains what a dashboard is showing in plain language |
Trend interpretation | Helps identify changes over time, bottlenecks, risks, and outliers |
Follow-up questions | Lets you ask questions about the work behind the dashboard, such as “which projects are most at risk?” |
Actionable next steps | Helps turn dashboard insights into actions, follow-ups, or project updates |
How it fits with Dashboards
Dashboards are the reporting surface in Hive. They show charts, tables, metrics, and widgets based on workspace activity.
AI Dashboards helps with the setup and analysis around those reports, for example:
“Build me a dashboard for campaign progress.”
“Show overdue actions by owner.”
“Summarize project health across my portfolio.”
“What changed since last week?”
“Which blockers should I focus on first?”
“Create follow-up actions from the risks in this dashboard.”