AI Hub: where your
organization does AI work
AI Hub is the default landing surface inside an organization — the place employees go to talk to assistants, run projects, build workflows, deploy agents, search knowledge, and discover new capabilities in the marketplace, all inside the guardrails set by admins.
One workspace, not a dozen tabs
Instead of separate chat tools, automation scripts, and shadow AI experiments scattered across the organization, AI Hub gives every employee a single, governed workspace. It is where the organization's AI capability actually lives — organized around the person's role, their org membership, and what they're entitled to use.
Core jobs
Everything an employee needs to get AI work done
Assistants
Conversational assistants scoped to the organization's knowledge, connectors, and policy.
Projects
Organize work into projects with their own context, collaborators, and history.
Agents
Configure and run autonomous agents that execute tasks on the governed runtime network.
Workflows
Compose multi-step workflows that chain assistants, agents, and tools together.
Knowledge
Search and reference the organization's connected documents, data, and context.
Approvals
Review and approve sensitive requests from teammates and agents before they proceed.
Marketplace discovery
Browse and install agents, workflows, and connectors approved for the organization.
Personalization
A workspace tailored to role and entitlements — see only what's relevant and permitted.
A distinct surface
Why AI Hub isn't the admin control plane
AI Hub is designed for daily work, not administration. It shows employees the tools they're entitled to use without exposing user management, policy configuration, security settings, or billing — that lives in AI Control Center. Keeping the two separate means employees get a focused, fast workspace, and admins get a dedicated place to govern the organization without cluttering everyone's daily surface.
AI Hub: assistants, projects, agents, workflows, knowledge, approvals, marketplace. AI Control Center: users, roles, policy, security, vaults, observability, billing. What an employee sees in AI Hub is always shaped by decisions made in AI Control Center.
AI Hub
Default landing surface for every employee
governed by policy and entitlements set in
AI Control Center
The admin-facing control plane →
A workspace for every role
The same workspace adapts to how different people actually use it day to day.
The builder
A builder composes a multi-step workflow in AI Hub — chaining an assistant, a document extraction agent, and an approval step — then publishes it for their team to reuse.
The employee
An employee opens an assistant scoped to their department's knowledge base to draft a report, with every source and connector already governed by policy.
The manager
A manager reviews an approval request surfaced by an agent before it executes a sensitive action, keeping a human in the loop without leaving AI Hub.
Give your organization its AI workspace
Join the waitlist to be among the first organizations to bring AI Hub to your team.