8X MORE PRODUCTIVE FOR A GLOBAL BEVERAGE LEADER

The connected delivery model delivered an 8x increase in productivity, reduced cycle times by 3x, and introduced 14 automated quality checkpoints across the software delivery lifecycle.

INTRODUCTION

As software delivery ecosystems grow, the challenge grows beyond building faster to ensuring information flows seamlessly across teams, tools, and processes. When business requirements, architecture decisions, development activities, and quality controls operate in silos, delivery slows down, context gets lost, and inefficiencies multiply.

A leading global beverage company faced this challenge across a complex engineering landscape. Disconnected tools, manual handoffs, and inconsistent information created friction throughout the software development lifecycle, making it difficult to maintain speed, quality, and traceability at scale.

To address these challenges, the organization partnered with CI&T to create a more connected approach to software delivery. The goal was not simply to accelerate development, but to establish a shared source of truth capable of connecting business, architecture, engineering, and quality activities throughout the lifecycle.

Powered by CI&T Flow and an agentic SDLC framework, teams transformed fragmented workflows into a connected delivery ecosystem. By improving traceability, embedding quality controls, and maintaining context across every stage of delivery, the organization created a faster, more reliable path from business requirements to production.

The result was an 8x increase in development productivity, a 3x reduction in cycle time, and a scalable foundation for connected software delivery.

THE CHALLENGE: CONNECTING THE SOFTWARE DELIVERY LIFECYCLE

The organization needed a way to reduce delivery friction, improve traceability, and maintain a consistent flow of information across business, architecture, engineering, and quality teams.

Fragmented Delivery Processes

Business requirements, architecture decisions, technical specifications, and development activities were distributed across multiple tools and teams.

As information moved through the lifecycle, context was often lost, creating inefficiencies and increasing the risk of misalignment.

Manual Handoffs and Rework

Teams relied heavily on manual transfers of information between systems, resulting in duplicated effort, delays, and quality issues that were often discovered late in the delivery process.

Limited End-to-End Visibility

Without a unified view of delivery activities, it was difficult to ensure consistency across artifacts, maintain traceability, and proactively identify issues before they impacted delivery timelines.

THE SOLUTION

CI&T implemented an agentic software delivery framework designed to create a fully connected engineering workflow.

Specialized Agents Across the SDLC

Rather than relying on isolated AI assistants, the solution introduced specialized agents responsible for different stages of the delivery lifecycle.

Each agent operated within a defined role, contributing context, validations, and outputs that remained connected throughout the process.

Continuous Validation and Quality Gates

Automated validation checkpoints embedded across delivery phases ensured that business requirements, architecture decisions, technical specifications, and implementation activities remained aligned.

This enabled teams to identify issues earlier and significantly reduce downstream rework.

Cross-Tool Traceability

The framework integrated directly with existing delivery tools, creating a shared source of truth across requirements, design, architecture, and development activities.

By eliminating manual copy-and-paste processes, teams gained greater visibility, consistency, and governance throughout delivery.

THE IMPACT

The implementation delivered measurable gains in productivity, quality, and delivery efficiency.

DEVELOPMENT PERFORMANCE

8x

increase in development productivity

Faster movement of work across the software delivery lifecycle

Improved consistency between requirements and implementation

FASTER DELIVERY CYCLES

3x

reduction in cycle time from development through quality validation

Earlier detection of issues through continuous validation

BUILT-IN QUALITY GOVERNANCE

14

automated quality checkpoints embedded throughout the delivery process

Improved alignment between business intent and delivered solutions

Reduced rework across teams and phases

OPERATIONAL EFFICIENCY

Reduced developer effort per story

Improved flow efficiency across the end-to-end value stream

Increased consistency of delivery artifacts across teams

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow Enterprise AI Management System that embeds intelligent agents into software delivery workflows, helping organizations accelerate execution while improving quality, traceability, and governance.

AGENTIC SDLC FRAMEWORK

A structured delivery model that orchestrates specialized AI agents across the software development lifecycle, connecting business, architecture, engineering, and quality activities.

CONTINUOUS VALIDATION FRAMEWORK

Automated quality checkpoints embedded throughout delivery workflows to ensure alignment between business intent, technical decisions, and implementation outcomes.

CONNECTED DELIVERY WORKFLOWS

AI-powered workflows that integrate requirements, design, architecture, and development activities into a unified delivery process with a shared source of truth.