Live Operational Pulse
Monitor request volume, latency, error-rate, and cost in a single view without switching tools.
The dashboard gives engineering, finance, and product teams a shared source of truth for model usage and spend behavior.
Monitor request volume, latency, error-rate, and cost in a single view without switching tools.
Compare OpenAI, Anthropic, Gemini, and additional providers side-by-side with consistent metrics.
Spot spikes early and move from anomaly to root cause in seconds.
Interactive Dashboard Demo
A realistic overview layout inspired by your dashboard UX.
Total Spend
$18,420
Total Tokens
2.84M
Total Requests
148.9K
Avg Latency
1.18s
30-Day Cost Trend
Quick Diagnostics
Platform teams: track reliability signals and provider health in one command surface.
Finance owners: follow spend movement by day, provider, and project without waiting for month-end reports.
Product teams: see if model or traffic changes are improving quality at a sustainable cost.
Operational Narrative
The dashboard is designed for decision flow: detect, compare, drill down, and act. Teams avoid fragmented tools and spend less time hunting for context.
What changes after adoption
Yes. AI Cost Board combines costs, tokens, usage, latency, and error signals so teams can debug and optimize from one operational view.
Yes. Provider-level views make it easier to compare spend, latency, and reliability trends across supported providers.
No. Engineering, finance, and product teams can use the same dashboard with different filters and decision workflows.
Yes. The dashboard is intended as the overview layer before deeper analysis in request logs and project-level breakdowns.