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
5X FASTER DEVELOPMENT AND CODE REVIEW FOR A LEADING INSURANCE COMPANY AI-first delivery made refinement 2x faster and development plus code review 5x faster, while reaching 60% of the 33-PFS goal in two weeks. INTRODUCTION Legacy applications can limit delivery speed when modernization must happen alongside day-to-day development.A leading insurance company operated legacy applications with limited automated testing and wanted to shift from effort-based delivery toward a value-throughput model.CI&T introduced an AI-first approach focused on improving story readiness, technical refinement, development, and validation. Powered by CI&T Flow, specialized agents helped teams move from manual coding toward specification, orchestration, and critical review.The initiative made refinement 2x faster and development plus code review 5x faster, demonstrating measurable gains across core engineering activities. THE CHALLENGE: MODERNIZING LEGACY DELIVERY Legacy applications and limited automated testing constrained delivery while the organization prepared for a value-based operating model. Legacy Applications Legacy applications increased engineering complexity and limited how quickly teams could modernize existing delivery practices. Limited Testing The existing environment lacked unit test coverage, increasing the effort needed to validate changes during development. Delivery Model Shift The organization needed to move from effort-based delivery toward a value-throughput model while reskilling teams. THE SOLUTION CI&T introduced an AI-first delivery approach that improved refinement, automated development activities, and shifted teams toward orchestration and validation. Better Refinement AI capabilities validated stories, cross-checked design inputs, and improved business and technical readiness before development. Agentic Development Specialized agents automated end-to-end story development, allowing engineers to focus more attention on validation and complex decisions. Quality Support AI helped improve story maturity before coding and supported automated code and test generation throughout development. THE IMPACT The AI-first model accelerated both upstream and downstream activities while creating a foundation for broader adoption. FASTER REFINEMENT Refinement became 2x faster Stronger story readiness before development FASTER DEVELOPMENT Dev plus code review became 5x faster Automated code and test generation DELIVERY PROGRESS 60% of the 33-PFS goal reached in two weeks Delivery achieved with a part-time team TECHNOLOGIES USED CI&T FLOW CI&T Flow supported intelligent agents across refinement, development, and quality, helping teams automate execution and move toward value-based delivery. AGENTIC SDLC An AI-assisted delivery approach connected story refinement, technical preparation, development, and validation throughout the lifecycle. QUALITY AUTOMATION AI-supported validation, code generation, and testing helped teams improve story readiness and accelerate downstream execution. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math