Agents and lifecycle
Provision employee, team, and role agents with central registry, access state, lifecycle actions, runtime policy, and release pinning.
Learn morePlatform
Private control plane for enterprise AI agents
Bewize gives operations teams the infrastructure to provision, isolate, update, observe, and govern personal, team, and role-based AI agents. The platform combines managed runtime identities with skills, storage, communication channels, usage visibility, and private deployment options.
What the platform controls
The platform story is infrastructure first: managed agents, controlled runtimes, governed capabilities, and operational visibility.
Security boundaries
Separate memory, sessions, logs, secrets, browser profiles, workspaces, and credentials by tenant.
Learn moreCosts and activity
Track runs, requests, schedules, token usage, model usage, budgets, limits, and expensive-tool policy.
Learn moreSkills and storage
Distribute approved skills and give agents durable workspaces plus controlled shared company storage.
Learn morePrivate deployment
Run the agent control plane inside enterprise-controlled infrastructure rather than unmanaged public SaaS.
Learn moreWork channels
Connect people and agents through governed chat and adapter surfaces, with roadmap room for broader corporate messengers.
Learn moreMap the platform to your operations model
Discuss employee agents, deployment boundary, orchestration, usage controls, and channel requirements.
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