Runtime and lifecycle
Operate tenant agents from a central registry with start, stop, restart, disable, staged release, and recovery controls.
For technical leaders
Operate AI agents without surrendering the control plane
Bewize gives platform, security, and engineering teams a private operating layer for managed AI workers: tenant boundaries, lifecycle control, policy, releases, usage visibility, approved capabilities, and evidence-backed evaluation.
Evaluation path
Start at the operating boundary
Assess where agents run, how tenants are separated, who can change runtime behavior, and what evidence remains after each run. Then evaluate integrations inside those boundaries.
Tenant isolation
Separate tenant memory, secrets, browser profiles, workspaces, logs, identity, and runtime artifacts.
Policy and capabilities
Assign approved skills and runtime policy while preserving explicit confirmation points for sensitive actions.
Runs, usage, and evaluation
Inspect run and request evidence, attribute model usage, and use scoped AgentsEval verdicts to inform release decisions.
Connect agents without losing ownership
Interoperability is useful when identity, policy, deployment, and evidence still have a clear owner.
A2A
Agent-to-agent work
Use implementation-backed A2A access for agent collaboration inside tenant-scoped operating boundaries.
Review →Capabilities
Tools and context
Govern reusable skills, tools, storage, and workspace context rather than distributing one-off scripts.
Review →Web boundary
Browser work
Pair a user-browser extension with tenant-scoped Browser Sidecar sessions and confirmation gates for risky actions.
Review →Technical due diligence
Deployment ownership
Review private-cloud and data-center operating paths, including network, storage, credential, and log ownership.
Inspect capability →Security boundaries
Inspect isolation, secrets handling, policy, redaction, browser state, and access controls.
Inspect capability →Observability and cost
Review runs, schedules, requests, model usage, and tenant-level attribution before expanding coverage.
Inspect capability →Questions technical evaluators ask first
Is this a standalone chat application?
No. Bewize Hub operates the managed workers, Roomcord provides shared team rooms, and Wize Browser connects approved browser work through a paired extension and isolated runtime.
Which interoperability layer is shipped?
A2A and A2UI support are implementation-backed, including participation by compatible external agents. A populated third-party network with discovery, commercial distribution, and billing remains future work.
Does AgentsEval certify security or compliance?
No. AgentsEval produces scoped ship, watch, or fail verdicts for captured scenarios and runs. It is operational evaluation evidence, not compliance certification.
Review the boundary before the demo
Bring one workflow and your deployment, identity, isolation, policy, integration, and evidence requirements. We will map them to what is shipped, what needs verification, and what remains roadmap. Use the technical operating-room subject when you contact us so we can prepare the right session.
Architecture conversation
Tell us what your team needs to control
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
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