5X FASTER SOFTWARE DELIVERY FOR A LEADING PAYMENTS AND BENEFITS PROVIDER

The agentic delivery model reduced pre-development cycles by 67%, accelerated software delivery by 5x, and achieved 98% test coverage across the initiative.

INTRODUCTION

As software ecosystems grow in complexity, engineering organizations face increasing pressure to deliver faster while maintaining quality, governance, and predictability.

A leading Brazilian payments and benefits provider managed a highly distributed technology landscape, with hundreds of repositories, more than 150 microservices, and dozens of engineering squads working across multiple products and value streams. As the organization scaled, inconsistent requirements, lengthy lead times, and limited visibility across the software development lifecycle began to impact delivery efficiency.

To address these challenges, CI&T partnered with the organization to reimagine software delivery from requirements through release. Leveraging an agentic, multi-agent framework powered by Flow, teams created a connected delivery model that streamlined refinement, accelerated development, and embedded quality throughout the lifecycle.

The result was a faster, more predictable software delivery process that reduced pre-development effort by 67% and achieved 5x faster delivery across key initiatives.

THE CHALLENGE: SCALING SOFTWARE DELIVERY ACROSS COMPLEX SYSTEMS

As the engineering landscape expanded, fragmented requirements and inconsistent refinement practices made it increasingly difficult to maintain delivery speed, predictability, and governance at scale.

Complex Engineering Landscape

The organization managed a large and highly distributed technology environment, including hundreds of repositories and microservices maintained by multiple teams.

This complexity made standardization and governance increasingly difficult.

Low-Quality Upstream Inputs

Requirements often reached development teams without the level of detail needed for efficient execution.

As a result, squads spent significant time clarifying requirements, refining stories, and resolving ambiguities before development could begin.

Limited Predictability

The lack of standardized refinement and validation processes impacted planning accuracy, delivery forecasting, and overall lead times.

THE SOLUTION

CI&T implemented an Agentic SDLC framework Powered by Flow, embedding intelligent agents directly into the organization's Azure DevOps workflows.Designed to support the entire software development lifecycle, the framework connected discovery, refinement, development, testing, and validation activities through coordinated agentic workflows. By integrating intelligent capabilities into existing engineering processes, teams reduced manual effort, improved consistency, and accelerated delivery while maintaining quality and governance standards

AI-Powered Upstream Acceleration

AI agents automated key activities including:

• Requirement discovery and analysis
• User story creation
• Definition of Ready (DoR) validation
• Complexity assessment
• Technical refinement

This significantly reduced the effort required to prepare development-ready work.

Development
Acceleration

Specialized agents supported:

• Code generation
• Architecture validation
• Development best practices
• Automated code review

The result was a faster and more consistent development process across teams.

Quality Built into
the Workflow

Rather than treating quality as a final checkpoint, AI agents continuously validated deliverables throughout the lifecycle.

Capabilities included:
• Definition of Done (DoD) validation
• Automated test diagnostics
• Automated bug creation
• Root cause analysis support

This created a scalable quality model that could be replicated across squads.

THE IMPACT

By improving backlog quality and standardizing refinement processes, the organization accelerated software delivery, increased engineering efficiency, and established a more predictable path from planning to production.

UPSTREAM PERFORMANCE

AI-powered refinement and validation dramatically accelerated work preparation.

• 67% faster pre-development
cycle

• Reduction of pre-development activities from nearly 15 days to approximately 5 days

DELIVERY PERFORMANCE

The end-to-end agentic workflow streamlined execution across development teams.

• 60% faster development
cycle

• 5x faster delivery performance compared to traditional squad execution models

QUALITY AND SCALABILITY

The initiative established new standards for software quality and operational consistency.

• 100% of stories created using the new standard

• 98% test coverage

• Replicable delivery model ready for broader organizational adoption

*Baseline values for a squad initially running at 2x.

TECHNOLOGIES USED

POWERED
BY FLOW

CI&T FLOW Enterprise AI Management System, a platform that embeds intelligent agents into engineering workflows, accelerating software delivery and improving operational efficiency.

MULTI-AGENT SDLC FRAMEWORK

A coordinated network of specialized AI agents supporting product management, business analysis, architecture, development, quality assurance, and delivery.

AZURE DEVOPS INTEGRATION

Direct integration with existing engineering workflows, enabling AI-powered automation without disrupting established delivery practices.

AI-POWERED QUALITY VALIDATION

Automated validation capabilities supporting requirements quality, testing diagnostics, bug management, and delivery governance throughout the development lifecycle.