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9X FASTER TECHNICAL REFINEMENT WITH AI-POWERED WORKFLOWS FOR A LEADING TELECOMMUNICATIONS COMPANY AI-powered workflows accelerated technical refinement by 9x, improved delivery performance by 5x, and reduced development cycle time by approximately 8x across the analyzed stories. Results based on an analyzed base of six stories. INTRODUCTION Software delivery slows down when requirements enter development without enough clarity or technical detail, increasing rework and extending lead times.A leading telecommunications company faced this challenge across multiple product flows, where legacy systems, distinct databases, and low story maturity added complexity to technical refinement and development.CI&T worked with the organization to create a more efficient path from requirements to implementation. Using AI-powered workflows Powered by CI&T Flow, teams streamlined requirements validation, story breakdown, technical specifications, development, and code review.The result was 9x faster technical refinement, 5x faster delivery performance, and an approximately 8x reduction in development cycle time. THE CHALLENGE: SIMPLIFYING COMPLEXITY TO ACELERATE DELIVERY Reducing technical refinement and rework across a complex technology landscape to improve story maturity and shorten a 47-day delivery cycle. Complex Technology Environment Multiple product flows across mobile, fiber, and electronics relied on different databases and legacy systems, making it more difficult to create a unified experience across B2B and B2C customer journeys. Lengthy Technical Refinement Teams spent significant time preparing stories for development. Requirements needed to be validated across functional specifications, design systems, and technical dependencies before implementation could begin. Low Story Maturity and Rework Stories frequently entered development without sufficient maturity, generating rework and reducing delivery predictability. The baseline system lead time was approximately 47 working days, even with teams already operating at twice their previous performance baseline. THE SOLUTION CI&T implemented a customized AI-powered workflow designed to reduce downstream bottlenecks and accelerate software delivery.The approach connected AI capabilities across technical refinement and development, helping teams validate requirements earlier, structure work more effectively, and automate key engineering activities. AI-Powered Technical Refinement AI agents supported technical refinement by validating functional specifications, suggesting how larger requirements could be broken down into development-ready stories, and checking design elements against the existing design system. Connected Development Workflow The AI-powered workflow connected multiple activities that previously required separate steps and handoffs.It supported the validation of client inputs, breakdown of epics into stories, creation of technical specifications, and implementation using test-driven development practices.This created a more consistent path from prioritized work to completed development. Automated Code Review and Validation AI capabilities also supported code review and completeness checks, helping teams validate implementation before work progressed further through the delivery process.By integrating these activities into the same workflow, teams were able to reduce downstream friction and accelerate execution. THE IMPACT The analyzed stories demonstrated significant improvements across technical refinement and development. Results based on an analyzed base of six stories. FASTER TECHNICAL REFINEMENT • 9x improvement in technical refinement performance • Faster validation of functional specifications and design requirements • AI-assisted story breakdown and technical specification FASTER DELIVERY PERFORMANCE • 5x faster progression from prioritized work to completed development • Requirements validation, story breakdown, development, and code review connected within the same workflow APPROXIMATELY 8X SHORTER DEVELOPMENT CYCLES • Development cycle time reduced by approximately 8x • Less rework caused by low story maturity • Greater efficiency across downstream development activities TECHNOLOGIES USED CI&T FLOW CI&T Flow Enterprise AI Management System enabled intelligent workflows across technical refinement and software development, helping teams connect key delivery activities, reduce manual effort, and accelerate execution from requirements through code validation. AI-POWERED DEVELOPMENT WORKFLOW A customized workflow that uses AI to support requirements validation, story breakdown, technical specifications, implementation, and code review, creating a more connected path from prioritized work to completed development. AI-ASSISTED ENGINEERING AI capabilities integrated into engineering workflows to support development activities and reduce repetitive work while keeping teams involved in validation and decision-making throughout the process. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math