Shadow sprawl
Agents appear outside IT, often on personal accounts, with no central registry, launch control, or repeatable release path.
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. Work directly with the Bewize team to adapt the platform around one valuable workflow.
01 / 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.
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.
02 / 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.
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.
03
Enterprise control, with a right-sized path to production
Bewize combines a company-controlled AI operating environment with direct implementation support. Adapt a proven platform to one bounded workflow without beginning with a large transformation program.
Your boundary
Keep operational ownership
Choose the private-cloud or data-center boundary for runtime placement, storage, credentials, logs, releases, and adapters.
Supported adaptation
Work directly with our team
Map the workflow, operating constraints, integrations, review points, and evidence with the team building the platform.
Bounded first step
Start with one operating room
Begin with one team and one valuable workflow, then use measured pilot evidence to stop, revise, repeat, or expand.
04
Our vision: a network of specialist agents
Bewize can already work with external agents through A2A and A2UI. We are building toward a curated network where companies can bring maintained specialist expertise into governed operating rooms.
Available today
Connect across platforms
Use agents hosted by Bewize, Google, or another compatible agent platform without giving up the operating boundary around the work.
Explore the vision →Future network
Hire maintained expertise
A specialist or company could provide a task-specific agent, improve it centrally, and make new capabilities available without client-side maintenance.
Explore the vision →Governed participation
Keep company control
The customer retains control over agent identity, permissions, context, evidence, costs, and human approval.
Explore the vision →05
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 →06
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.
Security
Can every agent be isolated?
Review tenant boundaries for memory, secrets, browser profiles, workspaces, logs, and runtime identity.
Review →Observability
Can operations inspect usage?
Look for run history, request logs, and model or token usage attributed by tenant, model, and day.
Review →Governance
Can capabilities be approved?
Check whether skills, flavors, and procedures can be packaged, reviewed, installed, and improved centrally.
Review →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.
Provisioning
Tenant lifecycle
Create and manage tenant agents from one console — start, stop, restart, disable, and inspect.
Open Bewize Hub →
Governance
Policy & skills
Assign skill packs, set runtime policy, and control what each agent is allowed to do.
Open Bewize Hub →
Runtime
Browser isolation
Each tenant’s browser state stays inside its own boundary — separate profiles, sessions, and runtime artifacts.
Open Bewize Hub →07
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.
Communication
Roomcord for Enterprise
Shared rooms where people and AI coworkers turn conversations, meetings, files, and decisions into coordinated action.
Open product →
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.
Map your first AI operating room with our team
Bring one valuable workflow. We will map the AI coworkers, operating boundary, agreed adaptations, review points, and pilot evidence needed for a practical first deployment.
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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