ACCELERATING SOFTWARE DELIVERY BY 4.5X WITH AN AGENTIC WORKFLOW FOR A LEADING BEAUTY AND PERSONAL CARE COMPANY

Agentic workflows accelerated software delivery by 4.5x, reduced a comparable development cycle from 2.1 months to 13 days, and completed a real-world design system migration in 11 days instead of the estimated 1.5 months

INTRODUCTION

Software delivery can slow down when unclear requirements, legacy technology, and dependencies across multiple teams create friction throughout the development lifecycle.

A leading beauty and personal care company faced these challenges across its software development process. Low story maturity generated rework before development, while a complex legacy environment and third-party dependencies created additional bottlenecks after implementation.

The organization partnered with CI&T to create a faster and more connected approach, using AI to support teams from early prototyping through deployment while introducing quality controls at key stages.

Powered by CI&T Flow, an agentic workflow with eight specialized AI agents connected activities across the software development lifecycle, helping teams validate solutions earlier, reduce handoffs, and minimize rework.

The approach delivered a 4.5x increase in development speed, reducing a comparable proof of concept from 2.1 months to 13 days and completing a real-world design system migration in just 11 days.

THE CHALLENGE: REMOVING FRICTION FROM A COMPLEX DELIVERY ECOSYSTEM

Improving story maturity and reducing cross-team dependencies to accelerate delivery across a complex legacy environment.

Rework Before Development

Low story maturity created a major bottleneck early in the development process. Requirements that were not clearly defined generated rework and accounted for 35% of total lead time.

Legacy Technology Complexity

A complex legacy monolithic environment increased development complexity, making it more difficult for teams to move efficiently from requirements to working software.

Dependencies Across Multiple Teams

A mixed-vendor model and reliance on a third party for post-development analytics tagging introduced additional handoffs and slowed down the path to production.

THE SOLUTION

CI&T introduced an agentic workflow designed to connect and accelerate activities across
the software development lifecycle, from prototyping through deployment.

Eight specialized AI agents supported different stages of delivery, while quality gates
helped teams identify issues earlier and reduce rework.

Faster Validation Through Interactive Prototypes

Design agents supported the creation of interactive prototypes, allowing product managers and product owners to validate working experiences earlier in the process.

This reduced reliance on static design iterations and helped teams identify necessary changes before investing further development effort.

Analytics Integrated into Development

Analytics tagging was embedded directly into the delivery pipeline instead of being handled through a separate post-development process.

This reduced third-party handoffs and created a more streamlined path to deployment while supporting greater ownership of analytics activities over time.

Quality Built Into
the Workflow

Quality gates were introduced at key stages of the process to identify issues before they progressed further through development.

This helped reduce rework and improve trust across teams operating in a mixed-vendor environment.

THE IMPACT

The new delivery approach demonstrated measurable improvements in both proof-of-concept and real-world scenarios.

4.5X FASTER DEVELOPMENT

4.5x increase in
development speed

AI agents supported activities from
prototyping through deployment

PROOF OF CONCEPT DELIVERED
IN 13 DAYS

A comparable development initiative that previously required 2.1 months was
completed in just 13 days using the new approach.

REAL-WORLD DELIVERY IN 11 DAYS

A design system migration estimated to require 1.5 months was completed in 11 days, demonstrating the approach beyond the initial proof of concept.

REDUCED DELIVERY FRICTION

Earlier validation through interactive prototypes

Reduced handoffs for analytics tagging

Quality controls embedded throughout the delivery process

Less rework across key stages of the software development lifecycle

TECHNOLOGIES USED

POWERED BY CI&T FLOW

CI&T Flow Enterprise AI Management System supported the integration of intelligent agents across the software development lifecycle, helping teams connect workflows, accelerate execution, and reduce friction from early validation through deployment.

AGENTIC
BUS

An agentic delivery framework that coordinates specialized AI agents across different stages of software development. In this initiative, eight agents supported activities from prototyping through deployment, creating a more connected delivery process.

AI-POWERED DESIGN

AI-assisted workflows helped teams move from design concepts to interactive prototypes faster, enabling earlier validation and reducing unnecessary iterations before development.

AUTOMATED ANALYTICS TAGGING

Analytics tagging was incorporated directly into the development pipeline, reducing reliance on post-development handoffs and helping streamline the path to production.