7X HIGHER RELEASE PRODUCTIVITY WITH AI AGENTS FOR A LEADING GLOBAL BEVERAGE COMPANY

An AI-powered release delivery model increased release productivity by 7x, accelerated delivery cycles by 2.2x, and flow efficiency increased from 33% to 70% through 15 custom AI agents integrated across the software development lifecycle.

INTRODUCTION

Release processes can become a major source of friction when multiple teams, validations, and activities need to come together before software reaches production.

A leading global beverage company wanted to improve its release adoption process while strengthening traceability and creating a more connected delivery lifecycle across teams and platforms.

CI&T redesigned the process around an AI-powered software delivery pipeline, connecting activities that previously required separate workflows and manual coordination.

Powered by CI&T Flow, 15 custom AI agents supported end-to-end activities across the software development lifecycle, including release processes, quality assurance, and translations, while automated validations helped work move through delivery more efficiently.

The result was 7x higher release productivity, 2.2x faster delivery cycles, and a flow efficiency increased from 33% to 70%.

THE CHALLENGE: STREAMLINING A COMPLEX RELEASE LIFECYCLE

As digital delivery expanded across teams and platforms, the release process required greater efficiency and traceability. The organization needed a more connected approach to reduce friction and accelerate releases across the delivery lifecycle.

Complex Release Process

Coordinating releases across multiple teams and platforms required several activities and validations, creating friction and limiting the speed of execution.

Limited End-to-End Traceability

Information and activities were distributed throughout the delivery process, making it more difficult to maintain a connected view of work across the software development lifecycle.

Scaling Release Efficiency

The organization needed to accelerate its release adoption process while maintaining quality and creating a model capable of supporting scalable product development.

THE SOLUTION

CI&T implemented an AI-powered software delivery pipeline designed to connect and automate activities across the release lifecycle.
The approach introduced 15 custom AI agents across the process, creating a more integrated path from development activities to release.

Connected Release Workflow

AI agents connected activities across the software development lifecycle, reducing manual coordination and creating a single source of truth for teams involved in delivery.

Automated validations helped work progress through the pipeline with fewer interruptions and greater traceability.

Secure AI-Powered Delivery

The agentic solution operated within an isolated, containerized development environment with an additional security layer.

This provided a controlled environment for AI-powered activities while supporting the organization's delivery requirements.

Expanded Quality and Translation Support

Dedicated agents were introduced to support quality assurance and translation activities.

Bringing these capabilities into the same workflow helped expand automation across additional stages of delivery and reduce dependencies on activities performed outside the core process.

THE IMPACT

The redesigned release process delivered measurable improvements in productivity, speed, and flow efficiency.

HIGHER RELEASE PRODUCTIVITY

7x

increase in release productivity

15 custom AI agents supporting activities across the delivery lifecycle

Reduced manual coordination through connected AI-powered workflows

SHORTER DELIVERY CYCLES

2.2x

faster delivery cycle

Lead time reduced through automated validations and connected workflows

More streamlined progression across release activities

IMPROVED FLOW EFFICIENCY

Flow efficiency increased from 33% to 70%

Reduced friction across the software development lifecycle

Greater connectivity between delivery activities

BROADER AI-POWERED DELIVERY

Dedicated agents supporting quality assurance and translations

Single source of truth established across the SDLC

Custom delivery metrics introduced to support performance measurement

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow Enterprise AI Management System supported the integration of custom AI agents across the software development and release lifecycle, helping teams connect workflows, automate validations, and improve delivery efficiency.

MULTI-AGENT DELIVERY FRAMEWORK

A coordinated framework of 15 custom AI agents designed to automate and support activities across the software development lifecycle, creating a more connected path from development through release.

AUTOMATED RELEASE VALIDATION

AI-powered validations helped reduce manual steps and accelerate the movement of work through the release process while improving traceability across activities.

SECURE AI WORKSPACE

An isolated development environment provided an additional security layer for the agentic solution, enabling AI-powered workflows to operate within a controlled environment.