8X FASTER SPECIFICATIONS AND DEVELOPMENT WITH AGENTIC DELIVERY FOR A LEADING AUTOMOTIVE COMPANY

Agentic delivery accelerated specifications and development by 8x, reduced total delivery time by 75%, and shortened a process that previously took 15 to 22 days to just 5 days.

INTRODUCTION

As AI agents take on more activities across software delivery, organizations have an opportunity to connect traditionally separate stages into a faster, more integrated process.

A leading global automotive company wanted to accelerate feature development and technical debt resolution by 5x while maintaining high quality standards across four different markets.

CI&T introduced an end-to-end agentic delivery system covering business analysis and specification, technical solution design, multi-repository development, and quality assurance, with validation at every stage.

Using the Agentic Bus and Powered by CI&T Flow, specialized AI agents autonomously generated business requirements, technical specifications, and code changes across multiple repositories.

The result was 8x acceleration across specifications and development, a 75% reduction in total delivery time, and an overall cycle reduced from 15–22 days to 5 days.

THE CHALLENGE: ACCELERATING COMPLEX DELIVERY ACROSS MARKETS

Streamlining multi-stage development and cross-repository workflows to increase delivery speed while maintaining consistent quality across four markets.

Multiple Delivery Stages

Business analysis, technical solution design, development, and quality assurance required coordination across different stages, increasing the time needed to move from requirements to implementation.

Development Across Multiple Repositories

Feature development and technical debt resolution involved code changes across multiple repositories, adding complexity to implementation and validation.

Scaling Speed Across Markets

The organization needed to significantly accelerate delivery while maintaining consistent quality standards across four different markets.

THE SOLUTION

CI&T implemented an end-to-end agentic delivery model designed to connect and accelerate key activities from business analysis through quality assurance. Specialized AI agents worked across different stages of delivery, while validation checkpoints helped maintain quality throughout the process.

Automated Business Analysis and Specifications

AI agents supported business analysis and specification activities, transforming requirements into structured inputs for development.

The approach reduced manual effort during early delivery stages and created a faster path from business needs to technical execution.

AI-Powered Technical Design and Development

Specialized agents generated technical solutions and supported code changes across multiple repositories.

By connecting specification and implementation activities, teams reduced handoffs and accelerated the transition from technical design to working software.

Quality Integrated Throughout Delivery

QA agents executed test suites as part of the workflow, while validation checkpoints were incorporated at every stage.

This helped teams accelerate execution while maintaining oversight and quality throughout the agentic process.

THE IMPACT

The agentic delivery model significantly reduced execution time across business analysis, technical solution design, and development.

FASTER SPECIFICATIONS
AND DEVELOPMENT

8x acceleration across
specifications and development

Business requirements, technical specifications, and code changes generated in less than 90 minutes across the three agentic executions

Reduced manual effort across key delivery activities

SHORTER BUSINESS
ANALYSIS

Business analysis reduced from 5–8 days to approximately 3 days, with AI agents generating the business requirements in 13 minutes

Faster progression from requirements to technical activities

Reduced time spent preparing work for implementation

ACCELERATED TECHNICAL SOLUTION AND DEVELOPMENT

Technical solution activities reduced from 2.5–4 days to approximately 3 hours

Development reduced from 8–10 days to approximately 1.5 days

AI agents supported implementation across multiple repositories

REDUCED END-TO-END
DELIVERY TIME

75% reduction in total delivery time

Overall cycle reduced from 15–22 days to 5 days

At scale, the productivity gain is equivalent to adding two to three engineers without increasing team size

TECHNOLOGIES USED

CI&T FLOW

CI&T Flow Enterprise AI Management System supported intelligent agents across business analysis, technical design, development, and quality assurance, helping teams connect delivery activities and accelerate execution across the software development lifecycle.

AGENTIC BUS

An end-to-end agentic delivery framework that coordinates specialized AI agents across different stages of software development, enabling activities to progress through a connected workflow.

MULTI-REPOSITORY DEVELOPMENT AGENTS

AI-powered development capabilities supported code changes across multiple repositories, helping teams execute complex implementation activities with less manual coordination.

AI-POWERED QUALITY ASSURANCE

Specialized QA agents executed test suites and supported validation throughout the delivery workflow, helping teams maintain quality while accelerating execution.