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.

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 Cost
The same feature is built multiple times. The same issue is fixed repeatedly across markets. Scaling becomes exponentially expensive.

Speed Penalty
Rolling out new capabilities takes months, not weeks, because every market requires its own implementation.

Strategic Blindness
There is no unified view of what works. Best practices remain siloed. Decisions are made without comparable data.

M&A Drag
Every 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 Trap
Traditional methods need 6–12 months just to understand the current state, before taking any action.

The Political Wall
Global standardization clashes with local realities, creating resistance and stalled initiatives.

The Evidence Gap
Decisions 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.

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 autonomously
High cost and operational disruptionTargeted SME validation
Siloed 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


CI&T AI Platform Consolidation Framework
  • Source Code
  • Templates
  • Configuration files
  • Versioning files
Any combination
of 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 of
truth / map
Future Platform
Activation
VALUE
DELIVERY

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.