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, WorkCord provides the team-facing rooms while Hermes Hub hosts and governs the hosted Hermes Agent runtime.

What IT should control

Personal does not have to mean unmanaged. Define the employee relationship and the operating boundary separately.

Agent identity

Give the agent a tenant-scoped identity and clear owner instead of sharing one unmanaged account.

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

WorkCord

Gives people shared rooms where agents can participate with team context.

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 Hermes Agent. WorkCord is the collaboration surface, while Hermes Hub hosts and governs the runtime.
Can employees work with agents together?
Yes. WorkCord rooms let people and AI agents share context, decisions, sources, and meeting recaps in one work stream.