33% MORE DELIVERY CAPACITY WITH AN AGENTIC SDLC FOR A LEADING GLOBAL HEALTHCARE COMPANY

An agentic delivery model enabled 33% additional scope beyond the quarterly commitment, increased delivery velocity by 4.2x, and reduced rework by 50%, while achieving 100% team adoption.

INTRODUCTION

Exceeding delivery commitments while working with existing team capacity requires a different approach to how software moves through development.

A leading global healthcare company set out to deliver additional scope beyond its quarterly plan across two engineering squads. The initiative also created an opportunity to improve efficiency and prepare a new commercial model for the following quarter.

CI&T evolved the development process by reducing framework maintenance and introducing AI capabilities into engineering workflows, enabling teams to focus more capacity on delivery.

With an agentic approach Powered by CI&T Flow, developers incorporated AI into their day-to-day work while actively contributing feedback and identifying opportunities to improve the workflow.

The initiative delivered 33% additional scope beyond the quarterly commitment, increased velocity by 4.2x, reduced rework by 50%, and achieved 100% team adoption.

THE CHALLENGE: UNLOCKING CAPACITY FOR THE NEXT DELIVERY MODEL

Reducing development overhead to expand engineering capacity today while building the foundation for a more scalable delivery model.

Increasing Delivery Capacity

The organization wanted to go beyond its quarterly commitment by unlocking the equivalent of an additional sprint of capacity across two engineering squads.

Reducing Development Overhead

Time spent maintaining the existing development framework limited the capacity available for higher-value engineering activities and new delivery.

Preparing for a New Delivery Model

Beyond short-term productivity gains, the organization needed to evolve its development process and create the foundation for a new commercial model in the following quarter.

THE SOLUTION

CI&T introduced an agentic software development approach designed to increase delivery capacity while reducing engineering overhead.
The initiative combined changes to the development framework with AI-powered capabilities, enabling the engineering team to improve both execution and the underlying delivery process.

Streamlined Development Framework

The development process was shifted to a new framework, reducing the maintenance effort required from engineering teams.

This freed up capacity for development while creating a more efficient foundation for AI-assisted delivery.

AI Integrated Into
Development

AI agent capabilities were incorporated directly into the development lifecycle to help teams accelerate execution and improve existing workflows.

Rather than treating AI as a separate tool, the approach enabled developers to use AI as part of their day-to-day engineering process.

Continuous Process Improvement

The development team played an active role in evolving the agentic workflow, contributing feedback and identifying new capabilities based on real delivery needs.

This helped create a model that could continue to improve as adoption expanded.

THE IMPACT

The new delivery model generated measurable improvements in capacity, efficiency, and adoption.

ADDITIONAL DELIVERY CAPACITY

33% additional scope delivered beyond the quarterly planning commitment

Equivalent to two full sprints for one of the two squads

Additional engineering capacity unlocked without expanding the existing teams

HIGHER ENGINEERING EFFICIENCY

4.2x increase in delivery velocity

50% reduction in rework

More capacity available for value-generating development activities

FULL TEAM ADOPTION

100% team adoption
of the agentic workflow

Active developer feedback used to improve existing agents

New AI capabilities identified based on day-to-day engineering needs

BUSINESS IMPACT

33% cost avoidance achieved during the quarter

Delivery results supported the development of a new commercial model

New model prepared for implementation in the following quarter

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow Enterprise AI Management System supported the integration of intelligent agents into engineering workflows, helping teams increase delivery capacity, reduce rework, and continuously improve software development activities.

AGENTIC SDLC

An AI-assisted software delivery approach that integrates intelligent agents into the development lifecycle, enabling teams to automate selected activities and improve how work progresses from development through delivery.

AI-ASSISTED DEVELOPMENT

AI capabilities embedded into existing engineering workflows helped developers accelerate execution while giving teams an active role in improving agents and identifying new opportunities for automation.

DEVELOPMENT FRAMEWORK MODERNIZATION

Changes to the underlying development framework reduced maintenance effort and created a more efficient foundation for engineering teams to adopt AI-powered workflows.