Case Study: $5.4M in Annual Savings by Leveraging GenAI Tools and Removing Work Friction

Download the Case Study

Fill out the form to download the full case study and see the numbers for yourself.

The Challenge

Gamma Financial, a Fortune 500 financial services company with 1,000 developers, faced the following challenges in its digital transformation:

• Low Adoption of GenAI Tools: While AI chatbots and code assistants were implemented to optimize workflows, adoption rates were uneven and lower than expected.
• Friction in Daily Tasks: Developers struggled with two key areas:
  1. Finding Answers About the Codebase: Developers spent 4+ hours weekly searching for accurate information, hindered by an outdated Developer Portal and underutilized AI Chatbot.
  2. Reviewing Pull Requests: This process was time-intensive, with junior developers heavily relying on senior team members.
• Proving ROI: Leadership needed clear data on the ROI of GenAI tools to justify their continued investment.

The Solution

Gamma Financial partnered with FOUNT to pinpoint and address the sources of work friction. The solution involved:

1. Targeted Surveys: FOUNT deployed micro-surveys among 450 developers to measure satisfaction, effort, and time spent on key tasks involving GenAI tools.
2. Dashboard Analysis: FOUNT’s comprehensive dashboard identified the most critical friction points, such as challenges with the AI Chatbot and Developer Portal.
3. Actionable Improvements: Key steps included:
   • Automating code documentation updates to improve the Developer Portal and AI Chatbot usability.
   • Encouraging the use of AI Code Assistants for static code analysis to streamline pull request reviews.

The Results

Gamma Financial’s targeted approach delivered the following outcomes:

• $5.4M in Annual Savings: Developers saved an average of 3 hours per week, translating to 120,000 hours annually across 1,000 developers.
• Improved Tool Satisfaction:
  • Developer Portal: Satisfaction scores increased from 33% to 60%.
  • AI Chatbot: Satisfaction scores rose from 42% to 65%.
• Enhanced Workflow Satisfaction:
  • Finding answers about the codebase: Satisfaction improved from 55% to 72%.
  • Reviewing pull requests: Satisfaction increased from 63% to 71%.

These improvements not only saved costs but also empowered developers to maximize the potential of GenAI tools, strengthening Gamma’s digital transformation initiatives.