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
AI CONSOLIDATION APPROACH Assess and Consolidate Global Platforms in Weeks, Not Months. In large global environments, the friction is constant. Most standardization and consolidation projects either fail or move extremely slow because they ignore local reality or take 12 months just to understand it.Enter CI&T’s AI-Powered Consolidation Approach, a specialized Agentic AI Pipeline that automatically reads codebases, documentation, and local workflows from your organization’s entire fragmented ecosystem of choice, such as B2B, DTC, systems of record, sales force automation tools, martech, etc., to build an unified master view of your platforms.Instead of months digging into source code, integrations and conducting disruptive interviews with stakeholders, AI Agents ingest disjointed tech stacks and output a standardized Source of Truth, allowing you to harmonize and derive global efficiency with local speed without the operational fatigue. LET'S CONNECT The Hidden Cost of Fragmentation What once looked like smart local optimization has become unmanaged complexity.Across global retail organizations, each operating company evolves its own version of the same platforms. Each acquisition introduces new systems. Each market builds its own logic. Over time, this creates fragmentation and a structural drag on the business. Redundant CostThe same feature is built multiple times. The same issue is fixed repeatedly across markets. Scaling becomes exponentially expensive. Speed PenaltyRolling out new capabilities takes months, not weeks, because every market requires its own implementation. Strategic BlindnessThere is no unified view of what works. Best practices remain siloed. Decisions are made without comparable data. M&A DragEvery acquisition adds another layer of complexity. Without a way to rapidly assess and integrate, it takes years to capture value. This problem reaches beyond technology to become a strategic constraint embedded in your ecosystem, one that compounds every year it’s left unaddressed. Why Consolidation Never Moves Forward The Discovery TrapTraditional methods need 6–12 months just to understand the current state, before taking any action. The Political WallGlobal standardization clashes with local realities, creating resistance and stalled initiatives. The Evidence GapDecisions are driven by assumptions, not data. No one truly knows how different systems really are. The result: Perpetual analysis paralysis. NOT ANOTHER 12-MONTH DISCOVERY We’ve fundamentally shifted the discovery model. We replace manual workshops with an autonomous engine that treats your code and documentation as the ultimate source of truth. LET'S CONNECT The Old Way (Fragmented ecosystems)The CI&T Way (AI-Powered Consolidation)Months of potential discovery to understand legacy business rules.Days, not months to map feature parity and logic.Heavy volume of interview and workshops70% of the knowledge extracted autonomouslyHigh cost and operational disruptionTargeted SME validationSiloed OpCos: Each region runs a different version.Consolidated Core: One global product vision, localized flexibility.Slow Migration: 18–24 month roadmapsAccelerated Execution: Moving from months to weeks HOW THE AGENTIC APPROACH WORKS From Ingestion to Action CI&T’s AI Platform Consolidation Framework LET'S CONNECT CI&T AI Platform Consolidation Framework Source Code Templates Configuration files Versioning files Any combinationof platforms Videos Documentation Training sessions Screenshots "Super" requirements Preliminary Rollout Plan ReverseEngineering Harmonization(Design & Planning) ForwardEngineering 1 2 3 4 5 6 7 8 Source oftruth / map Future Platform Activation VALUEDELIVERY Inputs Source Code Templates Configuration files Versioning files Any combination of platforms Videos Documentation Training sessions Screenshots Step 01 Reverse Engineering Discovery from existing assets Teams AI Agents Step 02 Harmonization Design & Planning Teams AI Agent "Super" requirements emerge from consolidated inputs Step 03 Forward Engineering Build the unified future Teams AI Agent Preliminary Rollout Plan guides delivery Future Platform Activation Value Delivery ↺ Source of truth / map A unified features map feeds back into the pipeline, anchoring every stage to a single shared reference. The Agentic pipeline works in steps to consolidate different inputs into a potential unified, easy-to-understand, source of truth / features map. Engineering Teams with multiple purpose-built AI Agents working in a pipeline to facilitate overall comprehension. CI&T AI Agent Teams 1. Reverse Engineering (The Context Agent) We don't guess; we extract. Our agents ingest your source code, templates, and config files to automatically generate comprehensive documentation and business rule maps. Deliverables: Dependency Analysis, Scope Sizing, Automatic Code Documentation. 2. Harmonization (The Design & Planning Agent) We merge local market needs with your global strategy. AI identifies feature gaps and overlaps to build a "Super Requirement" backlog that aligns all stakeholders. Deliverables: Feature Parity Maps, Knowledge Explorer, Architecture Validation. 3. Forward Engineering (The Execution Agent) The transition to a composable end-state. AI assists in code generation, infrastructure-as-code (IaC), and automated test planning to ensure the new ecosystem is born validated. Deliverables: Backlog Generation, Test Generation, Architecture Review. Accelerating Ecosystem Understanding for a Global Beverage Leader The Challenge With dozens of operating companies running heterogeneous platforms, this global leader needed harmonization, but couldn't afford a disruptive, year-long manual audit. The Execution: Scale: Analyzed 14 repositories and 2 complete country-codebases.The AI Shift: 70% of functional knowledge was extracted autonomously.Timeline: 20 days to complete a full technical and product analysis.SME Dedication: Local experts only needed 2 hours for final validation. The Outcome: CI&T transformed a "black box" of local technical debt into a transparent, validated Feature Map, providing the strategic clarity to standardize global operations without sacrificing local speed. Ready to see your ecosystem clearly? Move from fragmentation to harmony in 30 days.