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Governed AI acceleration

Accelerate work with AI coworkers your business can govern

Give teams managed AI coworkers that can collaborate, use approved tools, handle repeatable work, and keep projects moving—while your company retains control of identity, data, access, costs, and responsibility.

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Interactive platform map

One governed system. Three work surfaces.

Company Knowledge

    Explore how each product contributes to one governed knowledge system.

    The problem

    AI creates impact when it moves work forward

    A faster answer is useful. A governed AI coworker can go further: preserve context, coordinate follow-ups, use approved tools, and complete repeatable steps. The enterprise challenge is accelerating that work without losing visibility or control.

    Shadow sprawl

    Agents appear outside IT, often on personal accounts, with no central registry, launch control, or repeatable release path.

    Invisible spend

    Token and model use can pile up without attribution by tenant, model, or day. You find out after the work has already run.

    Ungoverned access

    Agents touch data, credentials, and browser sessions. Without tenant boundaries, private state and runtime artifacts blur together.

    How it works

    From AI assistance to operational momentum

    Each employee or team can have managed AI workers with clear identity and boundaries. Bewize Hub operates them, Roomcord connects them to shared team work, and Wize Browser lets them assist with approved browser tasks.

    Inside your cloud or data center: employees and teams get per-tenant agents, all managed by the Bewize Hub control plane, drawing on governed orchestration, isolation, observability, and skills.

    Start with real work

    Give finance, support, legal, engineering, or operations an AI coworker for a defined workflow and accountable owner.

    Build reusable context

    Keep the worker's identity, memory, credentials, workspace, and approved capabilities attached to the work it owns.

    Operate with Bewize Hub

    Deploy workers, schedule work, inspect runs, stage updates, apply policy, and recover failures from one operating layer.

    Scale what works

    Turn approved skills, tools, and operating patterns into repeatable capabilities instead of one-off prompts and scripts.

    What enterprise teams can evaluate first

    Use these operating controls to decide whether a private AI agent platform fits your security, IT operations, and adoption requirements.

    Lifecycle & releases

    Orchestration

    Create, start, stop, restart, and disable agents from a central registry. Stage releases per tenant and keep launch behavior reviewable.

    Explore

    Security

    Tenant isolation

    Per-tenant memory, secrets, browser profile, workspace, logs, and identity — with one Unix user per tenant in the production provisioning model.

    Explore

    Visibility

    Observability & cost

    Run and request logs, plus token and model usage attributed by tenant, model, and day. See where spend goes.

    Explore

    Governance

    Skills & storage

    Centralize approved skill packs, agent flavors, per-agent workspaces, and shared storage so capabilities are repeatable.

    Explore

    Private AI agent platform checklist

    If you are comparing enterprise agent platforms, start with the controls that decide whether agents can be safely adopted beyond pilots.

    Bewize Hub: control for AI work at scale

    Bewize Hub hosts, governs, observes, updates, and recovers company-managed AI workers so teams can increase their pace without creating unmanaged operational risk.

    One system for governed AI acceleration

    Bewize Hub operates AI workers, Roomcord brings them into shared team workflows, and Wize Browser connects them to approved work on the web.

    Control plane

    Bewize Hub

    Deploys, governs, observes, updates, and recovers the AI workers that Roomcord and Wize Browser depend on.

    Open product

    Agent on the web

    Wize Browser

    Chrome MV3 extension plus server-side Browser Sidecar isolation, so a managed agent can work with web context.

    Open product

    What's real, and what's next

    What is shipped today?
    Roomcord rooms, Bewize Hub runtime control, per-tenant isolation, lifecycle and staged releases, usage and cost attribution, the central skills repository, AgentsEval verdicts, and Wize Browser’s extension plus Browser Sidecar isolation all have implementation evidence.
    What is still on the roadmap?
    Budgets, spend limits and alerts, corporate-messenger adapters (Slack and Teams), public browser-assistant workflows, and process mining are directional — we mark them clearly rather than blur the line.
    Is Bewize only Bewize Hub?
    No. Bewize is the three-product ecosystem: Roomcord, Bewize Hub, and Wize Browser. Bewize Hub is the flagship control plane and shipping proof anchor.
    Does AgentsEval certify my agents?
    No. AgentsEval produces evidence-backed ship / watch / fail verdicts for specific scenarios and captured runs. It is reliability evidence, not a broad compliance certification.
    Where does Bewize run?
    Bewize is designed for environments your operations team controls, such as private cloud or data-center deployments. Your team owns the network, credentials, storage, and logs.

    See where governed AI can accelerate your work

    Book a working session to map one valuable workflow, the AI coworkers it needs, the controls your business requires, and the evidence that will show whether it is making an impact.

    +1 332 2081410
    enterprise@bewize.ai

    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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