8X FASTER DEVELOPMENT FOR A LEADING EUROPEAN RESIDENTIAL REAL ESTATE COMPANY

By introducing 20 AI-powered agents across the software development lifecycle, the organization increased flow efficiency by 114%, accelerated selected quality assurance activities by up to 10x, and made selected coding activities up to 8x faster with 100% team adoption.

INTRODUCTION

As digital ecosystems expand, increasing software delivery speed while managing complexity becomes a growing challenge.

A Leading European Residential Real Estate Company faced this challenge as it expanded its portfolio and digital services. Multiple technology layers and handoffs between business, engineering, and quality teams created friction across the software development lifecycle.

The organization partnered with CI&T to simplify delivery, reduce dependencies, and use AI to accelerate key development activities.

Powered by CI&T Flow, 20 specialized AI agents supported business refinement, development, and quality assurance, helping teams work faster and more efficiently.

The result was a 114% increase in flow efficiency, up to 10x faster QA activities, and up to 8x faster coding activities, with 100% team adoption.

THE CHALLENGE: TURNING DIGITAL GROWTH INTO A SCALABLE DELIVERY MODEL

As the organization expanded its digital experience, new touchpoints and services increased complexity across the technology landscape. To keep pace with this growth, teams needed a more connected delivery model that could reduce handoffs, improve collaboration, and accelerate development without compromising quality.

Increasing Digital Ecosystem Complexity

The expansion of digital touchpoints and services created greater complexity across the technology landscape, requiring teams to coordinate work across backend, CMS, frontend, and other systems.

Fragmented Software Delivery

Traditional role boundaries and handoffs between business, engineering, and quality teams slowed down the delivery process and made it harder to move efficiently from requirements to implementation.

Scaling Delivery Without Compromising Quality

The organization needed to accelerate development while maintaining quality and creating a more integrated and scalable approach to software delivery.

THE SOLUTION

CI&T introduced an agentic AI approach designed to improve efficiency across the entire software development lifecycle.
Powered by CI&T FLOW, 20 specialized AI agents were orchestrated across business refinement, development, and quality assurance, helping teams reduce manual effort, streamline workflows, and accelerate delivery.

AI-Powered Business Refinement

Specialized agents supported business refinement activities by helping teams structure requirements, reduce complexity, preserve knowledge, and accelerate conversations between business and technology teams.

This created greater consistency in how requirements moved into development and helped teams start implementation with clearer context.

A More Flexible Engineering Model

AI-powered capabilities enabled developers to address user stories across backend, CMS, and frontend layers.

By reducing dependencies between specialized roles, teams were able to take greater end-to-end ownership of delivery while reducing handoffs throughout the development process.

Accelerated Quality Assurance

A dedicated set of AI agents supported quality assurance activities, automating and accelerating selected tasks while helping teams maintain delivery standards.

This allowed QA teams to reduce repetitive manual work and focus more attention on higher-value quality activities.

Continuous Agent Improvement

CI&T also introduced new ways to capture learnings from how teams interacted with AI agents.

These insights created a continuous improvement cycle, enabling agents to evolve based on real-world usage and supporting the expansion of their capabilities over time.

THE IMPACT

The initiative delivered measurable improvements across the software development lifecycle.

KEY OUTCOMES

114% increase in flow efficiency

Up to 10x faster execution of selected QA tasks

Up to 8x faster execution of selected coding activities

20 AI agents orchestrated across business refinement, development, and quality assurance

TEAM ADOPTION

100% team adoption of the AI-powered delivery approach

Developers enabled to work across backend, CMS, and frontend layers

Reduced dependencies and handoffs between specialized roles

Increased end-to-end ownership across engineering teams

DELIVERY PERFORMANCE

Faster progression of work across the software development lifecycle

Reduced manual effort across business refinement, development, and quality assurance

Greater standardization of AI-assisted business refinement

Continuous improvement of AI agents based on real-world team usage

TECHNOLOGIES USED

CI&T
FLOW

CI&T Flow Enterprise AI Management System enabled the integration of specialized AI agents across business refinement, development, and quality assurance. By embedding AI into key software delivery workflows, the platform helped reduce manual effort, accelerate execution, and improve efficiency across the development lifecycle.

AI-POWERED AGENTS

Specialized AI assistants designed to help teams with specific activities throughout software development.

Rather than relying on a single general-purpose AI tool, different agents supported different types of work, including business refinement, coding, and quality assurance.

AI-ASSISTED SOFTWARE DELIVERY

An approach that combines AI capabilities with human expertise throughout the software development lifecycle.

AI supports teams with repetitive and time-consuming activities, while people remain responsible for decision-making, validation, and delivering the final outcome.