Errors, retries, tool failures, and slow handoffs by workflow.
Spend per agent, user, session, workflow, and completed task.
Safety, relevance, accuracy, refusals, and regression trends.
Engagement, conversion, SLA health, and outcome impact.
AI teams often have too many dashboards and not enough operational answers. Model metrics, traces, evals, cost, and business outcomes live in different places.
AnoSys gives teams prebuilt and custom dashboards that drill from executive KPIs into the traces, evals, tools, and logs behind each change.
Build dashboards that start with the operating question, then drill into the trace, eval, cost, user, or process evidence behind it.
Choose the workflows, models, agents, teams, customers, KPIs, and time windows that matter.
Combine traces, eval scores, costs, latency, incidents, process health, and business metrics.
Move from an executive metric to the span, event, release, or workflow that caused the change.
Share recurring views for engineering, product, support, governance, and executive reviews.
Yes. AnoSys can combine product, user, cost, infrastructure, and business process metrics in the same operational view.
Yes. Teams can start with prebuilt views and customize dashboards for their workflows, KPIs, and ownership model.