CI&T Joins Claude Partner Network to Scale Claude Across the World's Largest Enterprises, with 1,000+ Certified AI Engineers Jun 08, 2026 CI&T Joins Claude Partner Network to Scale Claude Across the World's Largest Enterprises, with 1,000+ Certified AI Engineers. Learn more
CI&T Releases 2025 ESG Report Focused on Social Impact, Clean Energy, and Innovation Mar 26, 2026 CI&T Releases 2025 ESG Report Focused on Social Impact, Clean Energy, and Innovation Learn more
CI&T and AWS: how the partnership transformed customer service with generative AI at Alelo Aug 31, 2026 CI&Ters chatting animatedly in the office, tablet in hand: collaboration and technology, part of everyday life at the company. Learn more
CI&T Recognized in Everest Group’s 2025 Global PEAK Matrix® Assessments for Retail and Consumer Packaged Goods Services Dec 10, 2025 CI&T Recognized in Everest Group’s 2025 Global PEAK Matrix® Assessments for Retail and Consumer Packaged Goods Services Learn more
87% LESS ENGINEERING EFFORT FOR A LEADING AUDIO ENTERTAINMENT COMPANY An agentic workflow reduced effective cycle time by 87% using only 20% of one developer's capacity, while cutting elapsed cycle time from 10.9 to 1.4 days. INTRODUCTION Delivery capacity can increase significantly when AI handles more of the execution without requiring proportional engineering effort.A leading media company operated with limited upstream involvement and an average cycle time of 10.9 days from refinement through code review. Mid-sprint scope changes added further rework.CI&T tested an agentic approach by delivering an entire epic end to end with a single developer using only 20% of their capacity. Powered by CI&T Flow, the workflow connected refinement through code review while reducing effective engineering effort.The pilot achieved an 87% reduction in effective cycle time and demonstrated approximately 8x greater effort efficiency. THE CHALLENGE: ACCELERATING DELIVERY WITH LESS EFFORT Long cycle times and mid-sprint scope changes created rework, while limited upstream involvement reduced overall flow efficiency. Long Cycle Time The baseline from refinement through code review averaged 10.9 days, limiting delivery speed. Scope Changes Mid-sprint changes shifted scope and generated additional rework across the delivery cycle. Limited Capacity The team needed to demonstrate meaningful acceleration without requiring full developer capacity. THE SOLUTION CI&T applied an agentic workflow to deliver a complete epic from refinement through code review using only 20% of one developer's capacity. End-to-End Epic AI supported execution of an entire epic across refinement, development, and code review within a connected delivery process. Lean Execution A single developer orchestrated the workflow while dedicating only a fraction of available engineering capacity. Flow Analysis Cycle-time and wait-time analysis identified delivery bottlenecks and helped demonstrate opportunities for further AI-driven acceleration. THE IMPACT The pilot demonstrated significant acceleration while requiring only a small portion of developer capacity. LOWER EFFECTIVE CYCLE Effective cycle time reduced by 87% Effective work required only 1.4 days FASTER ELAPSED CYCLE Elapsed cycle became 36% faster Time reduced from 10.9 to 1.4 days HIGGER EFFICIENCY Effort efficiency improved by approximately 8x Only 20% developer capacity was used TECHNOLOGIES USED CI&T FLOW CI&T Flow supported agentic execution across the delivery workflow, helping teams reduce engineering effort and accelerate epic delivery. AGENTIC BUS An agentic delivery framework coordinated activities from refinement through code review within an end-to-end workflow. QUALITY GATES Delivery metrics helped teams identify waiting and inefficiencies, creating a clearer baseline for measuring agentic acceleration. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math