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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
7X HIGHER RELEASE PRODUCTIVITY WITH AI AGENTS FOR A LEADING GLOBAL BEVERAGE COMPANY An AI-powered release delivery model increased release productivity by 7x, accelerated delivery cycles by 2.2x, and flow efficiency increased from 33% to 70% through 15 custom AI agents integrated across the software development lifecycle. INTRODUCTION Release processes can become a major source of friction when multiple teams, validations, and activities need to come together before software reaches production.A leading global beverage company wanted to improve its release adoption process while strengthening traceability and creating a more connected delivery lifecycle across teams and platforms.CI&T redesigned the process around an AI-powered software delivery pipeline, connecting activities that previously required separate workflows and manual coordination.Powered by CI&T Flow, 15 custom AI agents supported end-to-end activities across the software development lifecycle, including release processes, quality assurance, and translations, while automated validations helped work move through delivery more efficiently.The result was 7x higher release productivity, 2.2x faster delivery cycles, and a flow efficiency increased from 33% to 70%. THE CHALLENGE: STREAMLINING A COMPLEX RELEASE LIFECYCLE As digital delivery expanded across teams and platforms, the release process required greater efficiency and traceability. The organization needed a more connected approach to reduce friction and accelerate releases across the delivery lifecycle. Complex Release Process Coordinating releases across multiple teams and platforms required several activities and validations, creating friction and limiting the speed of execution. Limited End-to-End Traceability Information and activities were distributed throughout the delivery process, making it more difficult to maintain a connected view of work across the software development lifecycle. Scaling Release Efficiency The organization needed to accelerate its release adoption process while maintaining quality and creating a model capable of supporting scalable product development. THE SOLUTION CI&T implemented an AI-powered software delivery pipeline designed to connect and automate activities across the release lifecycle.The approach introduced 15 custom AI agents across the process, creating a more integrated path from development activities to release. Connected Release Workflow AI agents connected activities across the software development lifecycle, reducing manual coordination and creating a single source of truth for teams involved in delivery.Automated validations helped work progress through the pipeline with fewer interruptions and greater traceability. Secure AI-Powered Delivery The agentic solution operated within an isolated, containerized development environment with an additional security layer.This provided a controlled environment for AI-powered activities while supporting the organization's delivery requirements. Expanded Quality and Translation Support Dedicated agents were introduced to support quality assurance and translation activities.Bringing these capabilities into the same workflow helped expand automation across additional stages of delivery and reduce dependencies on activities performed outside the core process. THE IMPACT The redesigned release process delivered measurable improvements in productivity, speed, and flow efficiency. HIGHER RELEASE PRODUCTIVITY 7x increase in release productivity 15 custom AI agents supporting activities across the delivery lifecycle Reduced manual coordination through connected AI-powered workflows SHORTER DELIVERY CYCLES 2.2x faster delivery cycle Lead time reduced through automated validations and connected workflows More streamlined progression across release activities IMPROVED FLOW EFFICIENCY Flow efficiency increased from 33% to 70% Reduced friction across the software development lifecycle Greater connectivity between delivery activities BROADER AI-POWERED DELIVERY Dedicated agents supporting quality assurance and translations Single source of truth established across the SDLC Custom delivery metrics introduced to support performance measurement TECHNOLOGIES USED CI&T FLOW CI&T Flow Enterprise AI Management System supported the integration of custom AI agents across the software development and release lifecycle, helping teams connect workflows, automate validations, and improve delivery efficiency. MULTI-AGENT DELIVERY FRAMEWORK A coordinated framework of 15 custom AI agents designed to automate and support activities across the software development lifecycle, creating a more connected path from development through release. AUTOMATED RELEASE VALIDATION AI-powered validations helped reduce manual steps and accelerate the movement of work through the release process while improving traceability across activities. SECURE AI WORKSPACE An isolated development environment provided an additional security layer for the agentic solution, enabling AI-powered workflows to operate within a controlled environment. Related content Apr 28, 2026 AI doesn’t fix your SDLC Jul 10, 2025 CI&T FLOW | Magic Math