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
74% FEWER BUGS WITH AGENTIC DELIVERY FOR A LEADING RESTAURANT GROUP Five AI agents reduced bugs by 74% and improved development workflows, while establishing a scalable model for broader team adoption. INTRODUCTION Improving delivery performance requires progress in both speed and quality.A leading restaurant group wanted its software team to improve development performance by completing stories faster while strengthening quality gates. Legacy complexity, limited lifecycle metrics, and low AI adoption created additional constraints.CI&T focused on five practical AI agents across refinement, implementation, quality assurance, bug resolution, and design-system synchronization. Powered by CI&T Flow, the agents were embedded into existing engineering workflows while teams learned how to evolve them for their own context.Early results included a 74% reduction in bugs and measurable improvements across development activities. THE CHALLENGE: IMPROVING SPEED AND QUALITY TOGETHER The organization needed faster story delivery while strengthening quality and building the team's ability to adopt AI across development. Development Velocity The organization set ambitious targets to increase the speed at which development stories were completed. Quality Improvement Delivery acceleration needed to happen alongside stronger quality gates and fewer defects. AI Readiness The team was still learning how to use and improve AI agents within its day-to-day engineering context. THE SOLUTION CI&T introduced five AI agents across refinement, development, quality, bug resolution, and design-system activities to improve delivery end to end. Refinement Agent AI generated technical refinement documentation, helping teams prepare clearer inputs before implementation. Dev & QA Agents Specialized agents supported implementation and automated post-development QA activities across the delivery lifecycle. Bug & Design Agents Agents supported bug triage and design-system synchronization, helping reduce repetitive engineering work. THE IMPACT Early results showed improvements in software quality while the team continued refining and expanding agent usage. DEVELOPMENT GAINS Development performance improved by 2.2x Story cycle improved by 1.2x Story throughput increased by 1.4x BUG HANDLING Bug throughput increased by 1.2x QA bottlenecks began moving into automation TEAM ADOPTION Five agents introduced across the lifecycle Team building capability to evolve agents TECHNOLOGIES USED CI&T FLOW CI&T Flow supported specialized AI agents across refinement, development, QA, and maintenance, helping teams improve delivery and build AI maturity. DEV & QA AGENTS AI agents supported implementation and quality assurance, reducing manual effort across development and post-implementation validation. SUPPORT AGENTS Specialized agents supported bug triage and design-system synchronization, extending AI into additional engineering activities. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math