Knowledge
Ground AI in company context
Connect policies, docs, customer history, workflows, and application data so every agent works from trusted business context.
Enterprise AI workspace
The operating workspace for enterprise AI work.
Beam.expert gives business teams one governed place to build agents, connect company knowledge, orchestrate workflows, and move AI from experiments into repeatable operations.
Workspace scope
Knowledge / Agents / Workflows
Control model
Governed and auditable
Built for
Enterprise teams
Governed intelligence
AI operating core
Signal to action
The animated core is a visual model for how the workspace coordinates agents, knowledge, policies, and execution.
Workflows
Turn repeatable work into agentic systems
Design multi-step AI workflows with research, reasoning, handoffs, approvals, and execution paths your teams can reuse.
Governance
Move AI from pilots to production
Keep every action inside permission-aware, auditable controls with human review, policy checks, and operational visibility.
Enterprise operating layer
Not another chatbot. A control plane for AI work.
The visual core represents a governed intelligence layer: company context, agent orchestration, workflow execution, and the controls enterprises need before AI touches real work.
01
Connect enterprise knowledge, applications, and data with permission-aware context
Built for accountable business automation, not disconnected prompts.
02
Build AI workspaces where agents can research, reason, coordinate, and execute
Built for accountable business automation, not disconnected prompts.
03
Govern sensitive work with approvals, policy checks, and human-in-the-loop controls
Built for accountable business automation, not disconnected prompts.
04
Track every run, decision, handoff, and update with an auditable event trail
Built for accountable business automation, not disconnected prompts.
Visual workflow studio
Design enterprise workflows with agents, gates, actions, previews, and run history.
Approval-ready AI
Keep risk, escalation, compliance, and review policies in the path before sensitive work goes live.
Event-driven execution
Every play, run, and update is recorded so teams can review what happened and why.
Start with Workspace onboarding