Platform / Command Center
The control tower for autonomous healthcare operations
See how AI is performing across the enterprise, understand every action and handoff, and intervene when it matters. Command Center brings execution traces, business outcomes, costs, approvals, and audit records into one place, giving teams the visibility and control to scale AI with confidence.
our approach
Your AI Should Be Able to Explain Itself
Every action should come with a complete record of what happened, why it happened, what it cost, and how human judgment shaped the outcome. Command Center makes each execution visible, auditable, and accountable.
spend visibility
Know Where Every AI Dollar Goes
Track token usage, model calls, and execution costs in one place. See where spend is adding up and use that insight to manage costs while maintaining performance.
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How Command center Works
Built-In Control Across Every Action
Whether an agent is being tested in AI Studio or executing in production, each run creates an execution record that Command Center can monitor.
01
End-to-End Traceability
The moment a workflow runs, automatically capture step-by-step execution traces, token usage, and model spend without manual configuration or additional SDKs.
02
Governed by Design
Evaluate against your own standards, monitor essential KPIs, and automatically apply deeper guardrails where risk and complexity demand them.
03
Production Oversight
Deploy seamlessly into production while maintaining visibility over active workloads, tracking agent health and runtime performance to ensure operational stability.
Technical Capabilities
Everything You Need to Monitor and Govern AI
Command Center brings execution activity, performance, costs, and audit records into one place, so teams can investigate issues, control spend, and govern AI in production.
01
Complete Execution Visibility
See the status, trigger, project, start time, and duration of each run. Track activity as it happens and quickly identify executions that need attention.
02
Fast, Focused Search
Find the runs that matter by filtering across project, resource type, status, model provider, and date range. Move from a broad view to a specific issue quickly.
03
End-to-End Tracing
Follow each execution through model calls, tool calls, component steps, and approvals. Inspect inputs, outputs, timing, costs, and errors to understand what happened.
04
Token and Cost Intelligence
Track token usage and calculated model costs for each call. See how spending adds up across projects, models, and deployed solutions to identify opportunities to optimize.
05
Layered Cost Controls
Set limits on execution steps and tool calls, monitor project-level budget alerts, and apply provider-level spending limits. Keep usage within the boundaries your organization defines.
06
Complete Audit History
Review time-stamped records of user activity and actions taken during each execution. See who initiated a run and what occurred, including actions performed on someone’s behalf.
07
Goal and KPI Monitoring
Evaluate executions against defined goals and custom criteria. Use the data already captured to monitor performance and connect AI activity to business outcomes.
08
Open Standards Based
Connect execution traces to your existing observability tools through OpenTelemetry. Investigate AI activity alongside infrastructure activity using a shared trace ID.
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Explore Original Perspectives
Don't settle for incremental automation.
Move faster, make better decisions, and operationalize AI across the workflows that matter most.