Dashboards for AI products
The data lives in five tools
Model metrics are in one place, traces in another, product analytics in a third. Nobody can put quality, cost and user behavior on the same chart.
One dashboard, every signal
All data lands in the same store, so one dashboard can show eval scores, token spend and conversion side by side, and every widget drills into the records behind it.
Start from a template or a blank board, add widgets, filter by any field, and click through to the traces.
Select
Choose the workflows, models, agents, teams, customers, KPIs, and time windows that matter.
Compose
Combine traces, eval scores, costs, latency, incidents, process health, and business metrics.
Drill Down
Move from an executive metric to the span, event, release, or workflow that caused the change.
Report
Share recurring views for engineering, product, support, governance, and executive reviews.
What teams can do
- Prebuilt dashboards for agent health, model performance, cost, evals, and reliability
- Custom views for teams, workflows, customers, and business units
- Drill from KPI changes into exact traces, spans, logs, and eval results
- Share operational views with engineering, product, support, and executives
Build from here
Can dashboards include business metrics?
Yes. Anosys can combine product, user, cost, infrastructure, and business process metrics in the same operational view.
Are dashboards customizable?
Yes. Teams can start with prebuilt views and customize dashboards for their workflows, KPIs, and ownership model.