One shared discussion
Teammates and agents participate in the same conversation for a project, incident, or operating loop.
Shared agent rooms
How can people and AI agents work from shared team context?
Use a coordinated operating room where people and AI agents share the relevant discussion, sources, decisions, owners, status, and open questions for one stream of work. Roomcord provides that shared context, while Bewize Hub governs the managed agent identities and runtimes participating in it.
What changes in a shared room
The unit of work becomes the room and its context, not an isolated personal chat transcript.
Reusable room context
Decisions, sources, owners, status, and open questions remain organized as the work continues.
In-place handoffs
Mention a person or agent where the question was asked instead of copying context between windows.
Inspectable work
Agent tool calls and responses can remain visible in the room’s operating context.
Team AI collaboration FAQ
Is Roomcord just a separate chatbot for each employee?
No. Roomcord uses coordinated rooms where people, agents, decisions, sources, and meeting recaps share context for one stream of work.
Why is shared context different from copying an AI answer into team chat?
The request, sources, decisions, owners, response, review, and follow-up remain attached to the same operating context so another participant can understand and continue the work.
Where do the agents run?
The participating managed AI worker runtimes are hosted and governed by Bewize Hub in the Bewize ecosystem.
Can agents be added or removed from a room?
Roomcord supports room-level agent participation and per-agent behavior settings, including mention and response controls.