AI assistant

AI

Ask natural-language questions about contribution, PR health, delivery flow, pipeline reliability, Cursor usage, and team comparisons — grounded in imported analytics.

The AI assistant answers questions in plain language and stays grounded in your imported analytics. It won't invent repositories, teams, or numbers that aren't in your organization's data.

Each conversation is scoped to your selected organization and a configurable analytics window. Administrators control whether named-developer questions and comparisons are allowed — keeping policy aligned with how your company talks about engineering metrics.

What you get

  • Natural-language Q&A over commits, PRs, teams, repositories, pipelines, and flow
  • Scoped to the active organization and administrator-configured context window
  • Transparent token metering with monthly credits and usage visibility
  • Optional AI executive summaries attached to scheduled reports
  • Answers about Cursor usage, pipeline reliability, and delivery — not just code volume

Highlights

Grounded answers

Responses use imported analytics context, not guesswork.

Policy controls

Admins decide how far individual-level questions can go.

Conversation history

Save, revisit, and export chat transcripts when needed.

Related capabilities

Source sync

Connect Azure DevOps or GitHub, import commits, pull requests, work items, pipeline runs, and deployments, then keep everything current with incremental sync.

Leadership dashboards

Executive, engineering, repository, team, vendor, pull request, work item flow, pipeline, and deployment views with trends, KPIs, and activity heatmaps.

CI/CD & delivery

Azure DevOps Pipelines, GitHub Actions, and release deployments in one place — success rates, duration trends, deployment frequency, and delivery gaps.

Start using ai assistant in your organization

Create a free workspace, connect your sources, and explore Engineering Analytics with your team's real data.

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