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How Mindex Helped a Payroll Technology Company Accelerate Application Modernization With AI

Mindex Sep 14, 2026, 10:39:32 AM

AI Customer Stories

How Mindex Helped a Payroll Technology Company Accelerate Application Modernization With AI

AI can help software engineering teams approach complex modernization initiatives in new ways. But the greatest value comes from combining AI capabilities with experienced engineering expertise.

For a payroll technology company, Mindex combined its proprietary AI tooling and accelerators with experienced engineers to support an application modernization initiative, explore a long-standing technical challenge, and contribute to a 27.3% reduction in development cycle time.

By bringing together AI-powered tools and engineering judgment, Mindex helped the client accelerate development, explore potential solutions, and move complex modernization work forward.

Key Results

3 SPRINTS → 1 SPRINT

Estimated development effort for a key application modernization task

27.3%

Reduction in average development cycle time

DAYS

Time to develop a proposed approach to a long-standing technical challenge

Challenge

A payroll technology company was modernizing an existing application supporting its analytics and reporting capabilities.

One part of the effort involved moving an existing application component from an established web framework to a newer framework while preparing for integration with a third-party workforce analytics platform.

The team was also facing a separate technical design challenge that had remained unresolved for approximately a year.

The opportunity was to help engineers move this work forward more efficiently while giving them new ways to analyze existing technology and explore potential solutions.

The Solution

Mindex incorporated AI into the team's existing software development workflow.

Rather than using AI simply to generate code, engineers used it to analyze existing technology, explore technical approaches, and accelerate development work.

For one modernization effort, the team used AI to analyze an existing component of the application and help determine how it could be moved to a newer development framework. The work supported integration with a third-party workforce analytics platform. Based on the team's assessment, AI-assisted development was expected to reduce the effort required for this portion of the work from approximately three development sprints to one.

Mindex engineers also applied AI to the long-standing technical design challenge. By using AI to analyze the problem and explore potential approaches, the team developed a proposed solution within days.

Throughout the work, experienced engineers remained responsible for evaluating AI-generated recommendations, applying technical judgment, and making implementation decisions.

The Results

AI-assisted engineering helped the team improve development performance while making progress on complex modernization work.

27.3% Reduction in Development Cycle Time

Average cycle time improved from 11 days in February to 8 days in June, a 27.3% reduction.

Estimated 3-Sprint-to-1-Sprint Improvement

For a key application modernization task supporting a third-party integration, the team estimated that AI-assisted development could reduce the required effort from approximately three development sprints to one.

That represents an estimated 67% reduction in development effort for that specific task, based on the team's three-sprint-to-one-sprint estimate.

A Long-Standing Technical Challenged Addressed in Days

AI-assisted analysis helped engineers develop a proposed approach to a technical design challenge that remained unresolved for approximately a year.

Meet the Team Behind the Work

Special thanks to Mindex Runtime Terror, the Statement of Work team behind this initiative, for their engineering expertise and collaboration in delivering AI-powered engineering solutions that help organizations accelerate development and modernize applications.

What This Means for Enterprise Engineering Teams

This work demonstrates that AI can play a role in software development well beyond generating code.

For organizations managing complex enterprise applications, AI can help engineering teams:

Modernize existing technology more efficiently

Understand and analyze complex code faster

Explore multiple technical solutions to difficult problems

Reduce repetitive development work

Accelerate integrations and modernization initiatives

Give experienced engineers more capacity to focus on higher-value work

The value comes from combining AI capabilities with experienced engineering judgment. AI can accelerate analysis and exploration, while engineers remain responsible for evaluating recommendations, making technical decisions, and delivering reliable software.

Ready to explore what AI-assisted development could do for your team?

Mindex’s AI Lab helps organizations identify opportunities to apply AI within their software development workflows. Bring your software, your team, and a development challenge, and Mindex engineers will work with you to build and demonstrate an AI-assisted solution.