8X FASTER SOFTWARE DELIVERY FOR A LEADING BRAZILIAN FINANCIAL INSTITUTION

AI-powered engineering workflows reduced development time by 8x, reduced refinement effort from days to hours, and improved the organization's AI maturity score by 14%.

INTRODUCTION

One of Brazil’s leading financial institutions set out to transform the way software was delivered across its long-term investment platform. With growing demand for innovation, evolving regulatory requirements, and increasing pressure to deliver faster, the organization needed to improve engineering productivity without compromising quality, compliance, or customer trust.

Partnering with CI&T, the organization adopted an AI-powered engineering model built on CI&T Flow and agentic workflows. By integrating intelligent capabilities into technical refinement, development, and testing processes, teams significantly accelerated delivery cycles, increased productivity, and strengthened their ability to scale software development efficiently.

THE CHALLENGE: ENGINEERING EFFICIENCY AT SCALE

The organization needed to accelerate refinement, development, and testing activities while maintaining the quality, governance, and reliability required in a highly regulated environment.

Slow Technical Refinement Processes

Preparing technical specifications and translating business requirements into development-ready work required significant effort from multiple team members, creating bottlenecks early in the delivery process.

Development Productivity Constraints

Engineering teams spent valuable time on repetitive coding activities, limiting their ability to focus on higher-value work and innovation.

Time-Intensive Testing Activities

Testing and validation processes demanded substantial manual effort, impacting overall delivery speed and reducing the team's ability to scale output.

THE SOLUTION

CI&T implemented an AI-driven software engineering framework powered by Flow, combining agentic workflows with modern AI development tools to support teams throughout the delivery lifecycle.

AI-Assisted Technical Refinement

The solution introduced AI-powered workflows to accelerate the creation and evolution of technical specifications.

By reducing manual effort during refinement activities, teams were able to move from requirements to implementation more quickly while improving consistency and clarity.

Intelligent Development Support

Developers leveraged AI-powered coding assistants to streamline implementation tasks, accelerate code generation, and improve productivity throughout the development process.

This allowed engineering teams to focus more on business logic, architecture decisions, and complex problem-solving.

Automated Testing and Feedback Loops

Applying AI capabilities to testing activities, helped teams reduce the time spent executing and validating tests and improved feedback cycles across the development workflow.

THE IMPACT

Within six weeks, the organization achieved significant gains in efficiency, productivity, and engineering maturity.

KEY OUTCOMES

8x

increase in technical refinement and development speed

Technical refinement activities shrank from an estimated four days involving three people to approximately one and a half days with a single contributor

14%

improvement in the team's AI maturity score

STRONGER AI ADOPTION

The initiative fostered a collaborative AI-first culture, encouraging experimentation, knowledge sharing, and continuous learning across engineering teams.

As adoption increased, teams became more confident integrating AI into their daily workflows and delivery practices.

WORKFLOW TRANSFORMATION

Developers evolved from executing isolated tasks to orchestrating end-to-end agentic workflows, spanning technical refinement, development, feedback, and delivery processes.

TECHNOLOGIES USED

POWERED
BY FLOW

CI&T Flow Enterprise AI Management System that enables organizations to integrate intelligent agents into software delivery workflows. The platform helps accelerate planning, development, testing, and operational activities while improving engineering productivity, quality, and delivery efficiency.

AGENTIC WORKFLOWS

A structured approach that combines AI agents and human expertise to automate repetitive tasks, streamline decision-making, and accelerate software delivery processes.

AI CODING ASSISTANTS

AI-powered development tools used to support code generation, technical refinement, testing, and engineering productivity, helping teams deliver software faster and more consistently.