Case Study: a global financial services provider proves AI ROI across 2,500 engineers with Jellyfish

Global Financial Services Provider proves AI ROI across 2,500 engineers with Jellyfish

A global financial services provider faced board-level scrutiny over its AI investment and needed to prove that AI-assisted development was actually improving engineering productivity. Before working with Jellyfish, the company relied on stale data and manual reporting, with no credible way to connect AI usage to measurable business outcomes or engineering performance.

Jellyfish implemented its Software Engineering Intelligence platform, which natively integrated with the customer's AWS infrastructure to ingest AI coding telemetry. The solution provided trusted, data-backed insights, shifting AI ROI reporting from estimated to measured. Jellyfish enabled leadership to see that AI-assisted development led to faster cycle times, higher PR throughput, and up to 2x PR throughput for top adopters, providing the proof of impact required by the board.