Recently we have implemented this AI productivity dashboard for global insurance company and decided to make it as an available for free tool.
If you’re one of CTOs / VPs of Engineering / Head of DevOps at Bank / Insurance / Enterprises and invested thousands in GitHub Copilot licenses and need to justify the ROI to the board.
OR
If you’re one of Engineering Managers & Team Leads and you need to know which teams are successfully adopting AI agents and which ones need more training
and you track team health, identify burnout (via activity spikes), or identify “super-users” who can mentor others.
Our product “AI productivity dashboard” is for you for FREE and Open-Sourced.
Berg Digital’s AI productivity dashboard (GitHub Copilot) dashboard solves the following issues:
Pain 1: The “Black Box” of AI productivity Visibility
- The Problem: Companies are spending thousands on Copilot licenses but have no clue if they are being used. GitHub’s internal visualizations are often “rudimentary” and don’t allow for granular team/user comparisons.
- Berg Digital’s solution: Full visibility over the “Agentic Shift.” Our dashboard tracks “Interaction Turns”—distinguishing between simple chat and complex agentic code generation—giving leaders a true metric for AI maturity.
Pain 2: Lack of Comparative context or Benchmarking
- The Problem: Knowing a developer wrote 500 lines of code with AI is useless without context.
- Our solution: We provide Month-over-Month comparisons and Performance-per-day metrics. It highlights trends: Is AI usage growing? Is the “favorite model” shifting from GPT-4 to newer agents?
Pain 3: Administrative overhead
- The Problem: Managing large enterprises with revoked, active, and new users is a manual nightmare in standard interfaces.
- Our solution: Advanced filtering and grouping. Group by team, by month, or by status (revoked vs. active). This makes auditing seats and cleaning up licenses a minute-task instead of a hour-long 30-minute one.
Pain 4: Data Sovereignty & Privacy or Security
- The Problem: Many enterprises are wary of sending their internal developer metrics to third-party SaaS visualization platforms.
- Our solution: Local/Self-Hosted Deployment. Because it’s a JavaScript app that runs locally or on the client’s own server using a Personal Access Token (PAT), the data never leaves the client’s controlled environment.
Pain 5: The “API Sunset” Crisis – Urgent
- The Problem: On April 2nd, the legacy GitHub Copilot Metrics API stops working. Existing external dashboards (including both by Github and Microsoft) are not yet updated to support the new API.
- Our solution: We provide an immediate, ready-to-use tool. Users don’t have to wait for Microsoft or GitHub to update their official tools, and they don’t have to waste expensive internal engineering hours building their own.
Find here our Github for this Free AI productivity dashboard for Enterprises by Berg Digital https://github.com/zahhar/ghcp-dashboard
Of course all data used in real life were changed including its view for this video due to compliance.