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Visibility and reporting

AI Insights gives engineering leaders real-time visibility into what their teams are building, deploying, and operating, without writing queries or waiting for someone to pull data. Ask a question in the chat panel, and nullplatform generates a visual dashboard backed by live data.

What you can ask about​

The AI assistant understands your organization's hierarchy (accounts, namespaces, applications, and scopes) and returns dashboards scoped to what you have access to.

Team activity and velocity​

Track what your teams are shipping: builds, deployments, parameters, and contributor activity across any time range.

Example queries:

  • "Show me a report of all team activity for the last 4 weeks — deploys, builds, and parameters"
  • "What did the payments team ship this week?"
  • "Show activity breakdown by technical manager for the last 4 weeks"
  • "Which teams deploy most frequently?"

The assistant generates dashboards with KPI cards (total deploys, builds, parameters), timeline charts showing daily activity, and ranked tables of top contributors and repositories.

Team velocity dashboard showing commits, deploys, builds and parameters over 4 weeks

Manager scorecards​

Get a per-manager view of engineering output: commits, applications worked on, production deployments, build and deploy success rates, and a breakdown of features, fixes, and chores.

Example queries:

  • "Give me the weekly scorecard for each technical manager — commits, apps, production deploys, and success rates"
  • "Compare build success rate across managers this month"
  • "Which manager has the most production deployments this week?"

The dashboard breaks down each manager's work with progress bars for success rates, scatter plots comparing commits vs. deployments, and detailed tables of production deployment activity.

Manager scorecard with per-manager metrics and success rates

Deployment health​

Monitor deployment frequency, success rates, rollback events, and lead times across your organization.

Example queries:

  • "Show deployment success rate by namespace for the last 30 days"
  • "Which applications had the most failed deployments this month?"
  • "Overview of all deployments in the past 24 hours"
  • "Deployment outcomes broken down by namespace"
Deployment health dashboard showing success rates by namespace

Cost and resource analysis​

Understand where your infrastructure spend is going and where optimization opportunities exist.

Example queries:

  • "Which namespaces have the highest infrastructure costs?"
  • "Show me applications that are over-provisioned"
  • "What's the month-over-month cost trend for production?"
Cost and resource analysis dashboard with savings opportunities

Security posture​

Track vulnerability status, scan coverage, and remediation velocity across your applications.

Example queries:

  • "How many open vulnerabilities do we have by severity?"
  • "Show a heatmap of security and cost action items across all accounts"
  • "Which applications haven't had a security scan in 30 days?"
Risk and cost map showing security hotspots across the organization

What data is available​

The AI assistant queries the same data that powers the nullplatform Data Lake: deployments, builds, scopes, parameters, applications, action items, and more. If you need raw access or want to join nullplatform data with your own sources, the Data Lake lets you query it directly via SQL.

Tips for effective queries​

  1. Be specific about time ranges. "Last 7 days" and "this quarter" produce different dashboards. The assistant defaults to recent data when no time range is specified.
  2. Reference entities by name. "The payments namespace" or "checkout-service" gives the assistant precise context.
  3. Start broad, then refine. Ask "Show deployment activity this week" first, then follow up with "Break that down by team."
  4. Combine dimensions. Cross-reference categories: "Show deployment failures for the payments namespace in production last month."
  5. Ask for comparisons. "Compare performance across my environments" or "Which namespace improved its success rate the most?"

From query to dashboard​

Every dashboard you create from these queries can be saved, published, and shared with your organization. A query you run once can become a recurring dashboard that your entire leadership team accesses from the Insights sidebar.

Once you publish a dashboard, you can use the AI chat to analyze its data: ask follow-up questions, draw conclusions, and get recommendations without editing the dashboard.