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 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
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 Introduces Enterprise AI Framework to Move Organizations Beyond Experimentation Feb 26, 2026 CI&T Introduces Enterprise AI Framework to Move Organizations Beyond Experimentation Learn more
12X FASTER FOR A LEADING GLOBAL HEALTHCARE COMPANY The initiative accelerated software delivery by up to 12x, reduced lead time by 33%, and achieved 100% adoption across the engineering team. INTRODUCTION As demand for digital products continues to grow, many organizations face the same challenge: delivering more software without proportionally increasing engineering capacity.A leading global healthcare company found itself at this crossroads. With a growing backlog of business initiatives and finite engineering resources, the organization needed a new way to accelerate delivery while maintaining the governance, quality, and compliance standards required in a highly regulated environment.Rather than relying on traditional software delivery models built around sequential handoffs and specialized bottlenecks, the organization partnered with CI&T to explore a different approach. The goal was to move beyond improving productivity to fundamentally rethinking how work flows across the software development lifecycle.Leveraging the Agentic Bus and CI&T Flow, teams implemented an AI-orchestrated delivery framework that enabled planning, architecture, development, and quality activities to operate in parallel. By reducing delivery friction and increasing flow efficiency, the organization created a scalable operating model capable of accelerating execution without expanding team capacity.The result was up to 12x faster delivery, shorter lead times, and a new foundation for scaling software delivery through agentic workflows. THE CHALLENGE: SCALING DELIVERY WITHOUT SCALING TEAMS Traditional delivery workflows created bottlenecks across planning, architecture, development, and testing activities. The organization needed a more efficient way to accelerate software delivery while maintaining quality and governance. Delivery Capacity Constraints A critical business initiative had been scheduled for a future release cycle due to limited delivery capacity and competing priorities.The organization needed a way to accelerate execution without increasing team size. Sequential Delivery Bottlenecks Traditional workflows relied on multiple handoffs between planning, architecture, development, and testing activities, creating delays and reducing flow efficiency. Scaling Software Delivery As the organization explored broader adoption of AI-powered engineering practices, it needed a framework capable of scaling across teams while preserving governance and delivery quality. THE SOLUTION CI&T introduced an agentic software delivery framework designed to orchestrate multiple engineering activities simultaneously. Parallel Execution Through Agentic Workflows Instead of waiting for one phase to finish before another could begin, specialized AI-driven workflows executed refinement, architecture analysis, development preparation, and quality planning in parallel.This dramatically reduced waiting times and accelerated overall delivery flow. Structured Governance and Approval Gates While AI agents accelerated execution, engineering teams maintained control through structured review and approval checkpoints.This ensured that critical decisions remained transparent, traceable, and aligned with business objectives. Connected Engineering Ecosystem The framework integrated delivery artifacts, design assets, technical specifications, and implementation workflows into a coordinated system that continuously shared context across activities.This reduced friction while improving consistency and decision-making quality. THE IMPACT The initiative delivered measurable gains in speed, adoption, and delivery performance. ACCELERATED DELIVERY Up to 12x faster delivery execution Critical business functionality delivered within Q1 after previously being planned for Q2 Faster movement from requirements to implementation IMPROVED FLOW EFFICIENCY 33% reduction in lead time Delivery cycle reduced from 45 to 30 working days 12% improvement in overall flow efficiency TEAM ADOPTION 100% adoption across the development team Active engagement in expanding and improving agentic workflows DELIVERY QUALITY Structured measurement of AI-generated implementation quality 82% implementation assertiveness rate achieved on the flagship initiative TECHNOLOGIES USED CI&T FLOW CI&T's AI-powered system that embeds intelligent workflows into software delivery processes, helping organizations accelerate execution while maintaining quality, governance, and operational consistency. AGENTIC BUS An orchestration layer that enables intelligent workflows to collaborate, share context, and execute delivery activities in parallel across the software development lifecycle. AGENTIC SDLC FRAMEWORK A structured delivery model that coordinates planning, architecture, implementation, testing, and validation activities through AI-powered workflows and human oversight. INTELLIGENT DELIVERY WORKFLOWS Purpose-built workflows that support technical refinement, architecture analysis, implementation planning, quality validation, and delivery acceleration across engineering teams. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math May 11, 2026 YDUQS boosts productivity by up to 7x with AI-driven modernization of educational hubs