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
11X FASTER DELIVERY FOR A LEADING MEDICAL EDUCATION COMPANY Six specialized agents cut cycle time by 82%, reduced development from 34.1 to 2.6 days, and achieved an 11.1x acceleration factor. INTRODUCTION Unstable requirements can create rework throughout development, turning long lead times into a recurring delivery constraint.A leading medical education company faced a 94-business-day lead time, with major bottlenecks in functional refinement and development. Stories frequently lacked structured inputs, increasing rework after implementation had already begun.CI&T introduced six specialized agents spanning refinement, development, code review, and quality activities. Powered by CI&T Flow, the workflow created clearer specifications before construction and coordinated execution across the development cycle.The model achieved an 11.1x acceleration factor, reduced overall cycle time by 82%, and made development 92.4% faster. THE CHALLENGE: TURNING UNSTABLE SCOPE INTO FLOW Long refinement and development cycles were driven by unstable scope, limited structured inputs, and rework across the delivery process. Long Lead Times The delivery lifecycle reached 94 business days, significantly delaying the path from requirements to completed development. Unstable Scope Stories entered development without sufficient stability, generating implicit rework and extending construction time. Manual Refinement Functional refinement required stories to be built from scratch, adding significant effort before development could begin. THE SOLUTION CI&T introduced six specialized AI agents to connect refinement, development, review, and quality activities in a coordinated delivery workflow. Story Readiness Agents transformed early inputs into clearer, development-ready specifications, reducing ambiguity before construction. Coordinated Delivery Specialized agents supported development activities while automating queues and reviews across the delivery lifecycle. Quality Gates Automated review gates supported quality and decision-making while keeping people responsible for orchestration and critical validation. THE IMPACT The initiative demonstrated the potential of agentic software delivery in a real-world production environment. FASTER DELIVERY Acceleration factor reached 11.1x More than 2x the program target SHORTER CYCLE Cycle time reduced by 82% Cycle fell from 59.1 to 10.62 days FASTER DEVELOPMENT Development became 92.4% faster Time reduced from 34.1 to 2.6 days TECHNOLOGIES USED CI&T FLOW CI&T Flow supported specialized agents across refinement, development, and quality, helping teams coordinate execution and improve flow across the lifecycle. AGENTIC SDLC A coordinated AI-assisted delivery model connected functional refinement, development, code review, and quality activities. QUALITY GATES Automated validation gates helped identify issues throughout delivery while maintaining human orchestration and decision-making. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math