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 DASHBOARD MIGRATION WITH AI-POWERED WORKFLOWS FOR A LEADING INSURANCE COMPANY The migration of 83 legacy reports was accelerated through AI-powered delivery, cutting pre-development time from 20 hours to 1.5 hours and accelerating development by 5x, with 100% team adoption. INTRODUCTION Legacy modernization initiatives often require teams to understand existing systems, rebuild requirements, and migrate complex business logic before development can move forward.A leading insurance company faced this challenge when migrating 83 legacy reports to a modern analytics platform within a fixed timeline. Traditional delivery methods could not meet the required deadline, making a faster approach essential.CI&T introduced a multi-agent workflow across the development lifecycle to accelerate activities from legacy specification retrieval and requirements preparation to development and testing.Using AI-powered workflows Powered by CI&T Flow, teams automated key pre-development activities and accelerated backend and frontend execution while maintaining team participation throughout the process.The result was a 92% reduction in pre-development time, 5x faster delivery, and 100% adoption of the agentic workflow across the development team. THE CHALLENGE: MODERNIZING LEGACY ANALYTICS UNDER A TIGHT DEADLINE Migrating 83 legacy reports required extensive pre-development work, making the timeline difficult to meet with traditional delivery methods. Large-Scale Legacy Migration The organization needed to decommission its legacy business intelligence platform and migrate 83 reports to a modern analytics environment within a fixed timeline. Time-Consuming Pre-Development Work Retrieving legacy specifications, preparing documentation, creating mockups, and writing stories required significant manual effort before development could begin. Delivery Timeline Constraints The migration could not be completed within the required timeline using traditional delivery methods, creating a need to significantly accelerate both pre-development and implementation. THE SOLUTION CI&T implemented a multi-agent workflow designed to support the full development lifecycle, from understanding legacy reports to building and testing the new dashboards.AI-powered capabilities helped automate repetitive activities, prepare work for development faster, and accelerate execution across backend and frontend development. Automated Discovery and Requirements AI agents retrieved specifications from legacy reporting panels and supported the creation of documentation and mockups for approval.The workflow also helped transform requirements into epics and stories, reducing the manual effort needed to prepare work for development. Accelerated Dashboard Development AI-powered workflows supported both backend and frontend activities required to rebuild the reports on the new analytics platform.This included creating semantic models and metrics as well as building the dashboards, helping teams move more efficiently from requirements to working solutions. Integrated Testing Automated testing was incorporated into the workflow to support validation throughout the migration process.By connecting discovery, planning, development, and testing, the approach created a more streamlined path from legacy reports to modern dashboards. THE IMPACT The AI-powered approach delivered measurable improvements across pre-development, implementation, and team adoption. FASTER PRE-DEVELOPMENT 92% reduction in pre-development cycle time Time reduced from 20 hours to 1.5 hours Automated specification retrieval, documentation, mockups, and story creation FASTER DELIVERY 5x faster delivery Development cycle time reduced from 14 days to 2.75 days Accelerated backend and frontend execution FULL TEAM ADOPTION 100% development team adoption Active team participation in the agentic workflow Continuous feedback to support workflow improvement TECHNOLOGIES USED POWERED BY FLOW CI&T Flow Enterprise AI Management System enabled intelligent agents to support activities across the dashboard migration lifecycle, helping teams automate pre-development work, accelerate implementation, and improve delivery efficiency. MULTI-AGENT WORKFLOW A coordinated AI-powered workflow supporting multiple stages of delivery, including legacy specification retrieval, requirements preparation, planning, backend and frontend development, and testing. AI ENGINEERING AI capabilities supported the creation of semantic models, metrics, and dashboards, helping developers reduce manual effort and accelerate implementation. AUTOMATED TESTING Automated testing capabilities were integrated into the development workflow to help teams validate migrated dashboards more efficiently. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math