AI Usage Dashboard
Usage by tenant, by feature, by user, the breakdown the team and the customers need.
AI Products
AI Dashboards & AnalyticsThe Numbers Behind the AI.
AI dashboards and analytics for the numbers behind the AI — usage, cost, quality, drift, the per-tenant view and the executive summary, with the data pipeline, the warehouse, the dashboard and the alerts the team can act on.
10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served
AI Usage Dashboard
AI Cost Dashboard
AI Quality Dashboard
Drift Monitoring
Per-Tenant View
Alerts & Anomalies
Overview
AI dashboards are observability for the AI product
AI dashboards are the observability for an AI product — usage, cost, quality, drift, the per-tenant view and the executive summary. The work is the data pipeline, the warehouse, the dashboard and the alerts. The dashboard is the surface, the data is the product.
We build AI dashboards with the data pipeline, the warehouse, the dashboard and the alerts as part of the architecture from sprint one. The output is a dashboard the team can act on, not a chart that nobody opens.
This is the wrong engagement if you only need a usage chart in a SaaS dashboard. For that, the SaaS analytics tool is the right answer.
- Observability Built In — The usage, the cost, the quality and the drift in one place, with the alerts the team needs.
- Per-Tenant — A per-tenant view the team and the customer can act on, with the metrics that matter.
- Drift Caught Early — Data drift, model drift, the monitoring that catches the drop before the customer does.
- Alerts, Not Noise — Alerts on the anomalies the team needs to know about, not a wall of noise.
What we deliver
Everything included in our ai dashboards & analytics
AI Cost Dashboard
Cost by tenant, by feature, by model, the breakdown the finance team needs.
AI Quality Dashboard
Quality by tenant, by feature, by model, the eval results the team can act on.
Drift Monitoring
Data drift, model drift, the monitoring the team can act on before the quality drops.
Per-Tenant View
A per-tenant view the customer can see, with the metrics the customer cares about.
Alerts & Anomalies
Alerts on cost spikes, quality drops, drift crossings, the anomalies the team needs to know about.
Our process
A proven process for successful delivery
01
Discover
We audit the AI product, the data, the metrics and the audience for the dashboard.
02
Plan & Design
We design the data pipeline, the warehouse, the dashboard and the alerts.
03
Develop
We build the pipeline, the warehouse, the dashboard and the alerts in sprints.
04
Deploy
We ship to production with the alerts, the per-tenant view and the runbook live.
05
Optimize & Grow
We read the usage, the cost and the team feedback, and ship the next iteration.
Technology
Built with a stack that stays maintainable
Data Pipeline
- Airflow
- dbt
- Fivetran
- Custom ETL
Warehouse
- BigQuery
- Snowflake
- Redshift
- PostgreSQL
Dashboard
- Looker Studio
- Metabase
- Superset
- Custom
Monitoring
- Evidently
- Whylabs
- Arize
- Custom
What you can expect
- Data Refresh
- DailyData Refresh
- View
- Per-TenantView
- Caught Early
- DriftCaught Early
- Cost Attribution
- 100%Cost Attribution
Industries we serve
Delivered for teams in your sector
Usage (calls, tokens, users), cost (per tenant, per feature, per model), quality (eval results, the customer feedback), drift (data, model, output distribution). The metrics are tuned against the AI product, the audience and the decisions the dashboard supports. We will say so on the call.
Yes, when the use case needs it. The per-tenant view is a separate dashboard, with the data isolated to the tenant. The cost, the usage and the quality are visible to the customer, with the per-tenant rate limits and the metering the billing integration needs.
Data drift and model drift are monitored on a schedule, with the metrics and the alerts the team can act on. When the drift crosses a threshold, the alert fires, the team investigates, and the model is retrained against the latest data. The drift review is monthly, not annual.
Yes. The data pipeline feeds the warehouse, and the warehouse feeds the BI tool (Looker, Power BI, Metabase, Superset). The dashboard is the surface; the data is the product. The integration is part of the architecture, with the choice made in the discovery.
Related services
More in AI Products
Business software
ERP, CRM, HRMS & custom software we build
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Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.