FROM FRAGMENTED KNOWLEDGE TO 92% FLOW EFFICIENCY FOR A LEADING TRAVEL COMPANY

An AI-powered delivery model increased flow efficiency from 57% to 92%, shortened the pre-development cycle by 66%, and reduced the end-to-end delivery cycle by 60%.

INTRODUCTION

When business knowledge is spread across systems, teams, and product owners, preparing work for development can become as challenging as development itself.

A leading travel company faced this challenge within a complex B2B financial ecosystem. Business rules were distributed across multiple product owners, while more than 300 database tables and 22 to 25 microservices added technical complexity. Refinement alone represented a significant portion of the delivery effort.

CI&T worked with the organization to consolidate this knowledge and create a clearer path from business requirements to implementation. A multi-agent approach connected story refinement, architecture mapping, development, code review, and quality activities within the same delivery model.

Powered by CI&T Flow, AI-powered workflows helped transform fragmented business knowledge into development-ready specifications, reduce manual handoffs, and improve how work progressed across the software development lifecycle.

The result was 92% flow efficiency, 66% shorter pre-development cycles, 51% faster development, and a 60% reduction in the overall delivery cycle.

THE CHALLENGE: BREAKING THROUGH COMPLEXITY TO ACCELERATE DELIVERY

Connecting fragmented business knowledge and a highly distributed architecture to reduce refinement effort and shorten a 45-day delivery cycle.

Fragmented Business Knowledge

Critical business rules were distributed across multiple product owners, making refinement more complex and increasing the effort required to prepare stories for development.

Complex Technology Landscape

The B2B financial ecosystem included more than 300 database tables across 22 to 25 microservices, requiring teams to understand dependencies across a highly distributed architecture.

Refinement and Delivery Bottlenecks

Refinement represented approximately 39% of total delivery effort, while rigid deployment processes introduced additional waiting time. Together, these constraints contributed to a lead time of approximately 45 working days

THE SOLUTION

CI&T introduced a multi-agent delivery model designed to bring business knowledge, architecture, development, and quality
activities into a more connected workflow.

Rather than addressing individual bottlenecks separately, the approach focused on improving how information
and work moved across the delivery lifecycle.

Consolidated Story
Refinement

AI agents supported story refinement by bringing together business rules and requirements previously distributed across multiple product owners.

This helped teams turn fragmented information into clearer, development-ready specifications while reducing the effort required before implementation.

Architecture Mapping and Code Review

The workflow supported architecture mapping to help teams navigate dependencies across the organization's microservices and database environment.

Automated code review was also incorporated into the development process, reducing manual effort and supporting greater consistency during implementation.

Quality Embedded
Throughout Delivery

Quality gates and test diagnostics were integrated into the workflow to identify issues earlier and reduce rework.

Combined with test-driven development and autonomous code review, this approach achieved more than 96% test coverage while accelerating development.

THE IMPACT

The new delivery model improved efficiency across pre-development, engineering, and the overall delivery cycle.

HIGHER FLOW EFFICIENCY

Flow efficiency increased from 57% to 92%

Waiting time and rework were reduced across the delivery process

Delivery aligned with the organization's new standards

SHORTER PRE-DEVELOPMENT CYCLE

66% reduction in
pre-development cycle time

Cycle time reduced from 11.85 days to 4 days

Business rules consolidated into development-ready specifications

FASTER DEVELOPMENT

51% reduction in development time

Development reduced from 8.03 days to 3.9 days

More than 96% test coverage supported by test-driven development and autonomous code review

FASTER END-TO-END DELIVERY

60% reduction in the overall delivery cycle

End-to-end cycle reduced from 19.88 days to 7.9 days

Approximately 2.5x faster progression from refinement to production readiness

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow Enterprise AI Management System connected intelligent agents across refinement, architecture, development, and quality workflows, helping teams improve information flow, reduce delivery friction, and accelerate execution across the software development lifecycle.

MULTI-AGENT DELIVERY MODEL

A coordinated group of AI agents supporting different stages of software delivery, including story refinement, architecture mapping, code review, and quality activities.

AI-ASSISTED STORY REFINEMENT

AI-powered capabilities helped consolidate business rules and requirements from multiple sources into clearer, development-ready specifications, reducing pre-development effort and improving story readiness.

AUTOMATED QUALITY AND CODE REVIEW

Automated code review, quality gates, and test diagnostics helped teams identify issues earlier, reduce rework, and maintain high test coverage while accelerating development.