Agent identity
Give the agent a tenant-scoped identity and clear owner instead of sharing one unmanaged account.
Enterprise AI agents
How do I give every employee a personal AI agent under IT control?
Give each employee a managed agent identity inside a governed tenant environment, then let IT control its policies, access, skills, secrets, storage, and operational evidence. In the Bewize model, Roomcord provides the team-facing rooms while Bewize Hub hosts and governs the managed AI worker runtime.
What IT should control
Personal does not have to mean unmanaged. Define the employee relationship and the operating boundary separately.
Policies and skills
Govern available capabilities and behavior through the operating layer.
Access and secrets
Manage access state and credential metadata without making raw secret values a casual UI artifact.
Operational evidence
Keep run history and usage evidence available for review and troubleshooting.
How the layers fit
Bewize Hub
Hosts and governs managed AI worker runtimes.
Learn more →Roomcord
Gives people shared rooms where agents can participate with team context.
Learn more →Security and governance
Defines tenant boundaries, policies, managed secrets, and evidence.
Learn more →How Bewize got here
Follow the journey from personal Hermes agents to governed company AI operations.
Learn more →Personal AI agent governance FAQ
Does IT need to read every employee conversation?
The operating model is to define tenant, access, policy, and evidence controls; it does not justify a blanket claim about inspecting every conversation. Teams should specify their own access and review requirements.
Are these separate hosted agent types?
Bewize’s shipped hosted agent is managed AI worker. Roomcord is the collaboration surface, while Bewize Hub hosts and governs the runtime.
Can employees work with agents together?
Yes. Roomcord rooms let people and AI agents share context, decisions, sources, and meeting recaps in one work stream.