Your team is already using AI. Now make it manageable.
Buda gives CIOs, IT leaders, and AI transformation teams one control plane for agents, members, workspaces, permissions, credit usage, and execution history.
Research competitors, draft campaigns, create assets, and repurpose content while managers track output and spend.
The real risk is not AI adoption. It is unmanaged AI adoption.
Employees are already using AI in private chats, personal accounts, and disconnected tools.
No one can answer which agent did what, who triggered it, what it cost, or where the output went.
Security, auditability, data isolation, and cost attribution become blockers before AI creates real leverage.
IT needs control, but business teams need speed. Most AI tools force you to choose one.
Build a workflow around Enterprise AI Agent Control Plane.
One control plane for the AI workforce
Manage agents, members, spaces, files, tools, credits, and ownership from a single workspace instead of scattered AI accounts.
Governance without killing adoption
Business teams get useful agents. IT gets visibility, permissions, isolation, audit trails, and rollout control.
From experiments to operating model
Start with one governed workflow, measure output and usage, then expand department by department.
The practical building blocks behind Enterprise AI Agent Control Plane.
Member and workspace control
Create spaces for teams or departments, assign members, and keep ownership visible as AI work scales.
Multi-agent orchestration
Run multiple OpenClaw agents in parallel while keeping task context, output ownership, and workspace boundaries clear.
Credit and usage visibility
Track AI credit consumption across spaces, members, and agents so budget owners can control spend before it becomes a surprise.
Audit-ready execution history
Review what ran, who initiated it, which workspace it touched, and what artifacts were produced.
Shared Drive-based memory
Agents work from shared files and persistent context instead of disposable chat sessions that forget the business.
Private deployment path
Position pilots for enterprise security reviews with clear isolation, admin controls, and private deployment options.
Start with the workflow that hurts today.
Pick one workflow with repeated demand, visible ownership, and measurable output. Buda gives that team agents, memory, tools, and a shared workspace.
Marketing agent team
Research competitors, draft campaigns, create assets, and repurpose content while managers track output and spend.
Research and strategy team
Run market research, summarize documents, track competitors, and prepare executive briefs from a shared knowledge base.
Engineering agent team
Assign coding, review, testing, and documentation agents while keeping repositories and execution environments isolated.
Operations agent team
Automate weekly reports, policy checks, file organization, and cross-team workflows without losing admin oversight.
Start with one useful workflow, then expand.
Choose one workflow
Start with Marketing agent team. Keep the scope narrow enough that the output is easy to review.
Assign agents and controls
Create the workspace, invite members, assign agents, define files, tools, and usage boundaries.
Measure output and spend
Review artifacts, credit usage, ownership, and execution history before expanding scope.
Expand or stop cleanly
If the workflow proves value, repeat the model in another team. If not, you still have a governed record.
Start with one governed AI team.
Give one department a useful AI workforce. Keep control from day one. Expand only after the pilot proves itself.
Start a governed pilot