Bespoke data applications

A coded React application Jourier builds for your team. Your codebase, no per-seat licence, no vendor lock-in. Bridges to legacy BI (Power BI, Tableau, Looker, Metabase) when needed.

AI agents

Agents that read from GitHub Copilot and take action: drafts, triage, routing, follow-ups. Runs on Anthropic, OpenAI, Gemini, Mistral, or self-hosted models.

MCP servers

Expose GitHub Copilot to Claude, ChatGPT, Cursor, and any MCP client. Standardized tool calls, deterministic responses.

Custom apps

Internal tools, dashboards, marketplaces. Built end-to-end with GitHub Copilot as the source of truth.

Bespoke pipeline. Customer-owned.

Jourier builds the GitHub Copilot integration into your Data Hub, a bespoke layer modeled to your business. GitHub Copilot data flows in continuously, joins the rest of your operational systems, and surfaces to whichever consumer your team uses.

  • Real-time change-data-capture for GitHub Copilot where supported
  • Webhooks and scheduled polling for the rest
  • Schema versioning and history handled in the data layer
  • Hosted on your cloud, or on Jourier
  • Code, schema, and documentation belong to your business

Replace legacy BI tools wired into GitHub Copilot.

Most teams have stacks of legacy reporting tools (Power BI, Tableau, Looker, Cognos, Crystal Reports, MicroStrategy) stitched into GitHub Copilot over years. They cost a fortune in per-seat licences, lock the business to a single vendor, and break every time GitHub Copilot changes its schema.

Jourier delivers the alternative: a bespoke data application built in React and TypeScript, modeled to your operations and owned by your team. Service-health reporting, deployment analytics, and incident dashboards delivered as a real engineered application, not a vendor configuration. Move off legacy reporting on your timeline. Jourier keeps the legacy stack and the new application running in parallel for teams that need a transition window.

Can I connect GitHub Copilot to Power BI?

Yes. Jourier's default is a bespoke data application coded in React and TypeScript, modeled to your operations and owned by your team. No per-seat licence, no vendor lock-in. For teams not ready to migrate off Power BI, Jourier builds the bridge: GitHub Copilot flows into the Data Hub layer and surfaces in Power BI as a dataset your team can build service-health reporting on top of. Both run in parallel during a transition.

Can I connect GitHub Copilot to Tableau, Looker, or Metabase?

Yes. Jourier's default is a bespoke data application coded for your team in React and TypeScript, not a vendor BI tool. For teams constrained by an existing Tableau, Looker, or Metabase contract, the same Data Hub layer feeds them. One trusted source behind whichever front-end your team uses.

Can I expose GitHub Copilot data via MCP to Claude or ChatGPT?

Yes. Jourier builds Model Context Protocol (MCP) servers that surface GitHub Copilot data as structured tool calls to Claude, ChatGPT, Cursor, and any MCP-compatible client. Deterministic responses, no API hallucination. Right for incident triage and research workflows that need accurate GitHub Copilot answers.

Can I build AI agents that act on GitHub Copilot data?

Yes. Jourier builds AI agents that read from GitHub Copilot and take action: drafts, triage, routing, follow-ups. Models picked per workload (Anthropic Claude, OpenAI GPT, Google Gemini, Mistral, or self-hosted). Deterministic flows where consistency matters, language models where language is the right tool.

Is the GitHub Copilot integration real-time?

Where GitHub Copilot supports it, yes. Change-data-capture (CDC) pipelines run on Kafka and surface updates within seconds. Otherwise scheduled polling and webhooks keep the layer current at the cadence the business needs. Time to first sync is typically instant to one day.

Can I host the GitHub Copilot integration on my own cloud?

Yes. The GitHub Copilot pipeline runs on your cloud (AWS, Azure, GCP, or your existing Databricks / Snowflake / Supabase / Postgres setup), or on Jourier's infrastructure if you want fast results. Both are real options. Customer ownership and full handover are the default.

Who owns the GitHub Copilot integration code and schema?

You do. Jourier delivers the GitHub Copilot pipeline, the data model, the documentation, and the runbooks as part of the engagement. Schema, code, infrastructure config: all yours. Self-host, or have us host. Take it over whenever you want, or hand it to another vendor. No lock-in, no per-seat licence.

Can Jourier replace legacy BI tools that depend on GitHub Copilot?

Yes. This is most of what we do. Teams often have stacks of legacy reporting tools (Power BI, Tableau, Looker, Cognos, Crystal Reports, MicroStrategy) wired into GitHub Copilot over years. They cost a fortune in per-seat licences, lock the business to a single vendor, and break every time GitHub Copilot changes its schema. Jourier delivers the alternative: a bespoke data application coded in React and TypeScript, modeled to your operations. Service-health reporting, deployment analytics, and incident dashboards delivered as a real engineered application your team owns. Both stacks can run in parallel during the migration.

What does a GitHub Copilot integration cost?

Bespoke engagement, scoped to the workflows that matter. No per-seat licences, no platform fees if you self-host, no surprise overage charges. The Data Hub layer is delivered once and run by your team or by Jourier. Pricing is project-based, not subscription-based.

How long does a GitHub Copilot integration take to build?

First sync of GitHub Copilot data is typically instant to one day. A scoped Data Hub engagement covering GitHub Copilot plus the workflows it powers (service-health reporting, deployment analytics) usually runs 6 to 12 weeks per phase. Bigger transformations are split into phases, each shipping value before the next begins.

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Aleksi Stenberg Founder & CEO
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