How a Global Manufacturer Consolidated 10K+ Financial Docs with Agentic AI?

A global leader in cement manufacturing faced challenges in unifying financial data across disparate systems. To modernize dethey partnered with iLink Digital to implement a conversational, multi-agent AI solution. By integrating structured and unstructured data into a single interface, iLink enabled faster insights, streamlined controllership workflows, and empowered business users to “talk to their data” — all without relying on technical teams.

Industry

Manufacturing

Company size

10K+ Employees

Headquarters

Nuevo Leon, Mexico

Client Overview

The client is a leading global cement and building materials manufacturer headquartered in Mexico, operating across more than 50 countries. Known for its commitment to innovation and sustainability, the company manages complex supply chains, large-scale production facilities, and a vast network of financial and operational data systems.

Business Context

In the manufacturing sector, controlling operations and financial planning depends on timely, accurate insights from both structured and unstructured data. However, inconsistent naming conventions, fragmented data sources, and the lack of natural language interfaces made data access slow and decision-making reactive.

Challenges

Data Silos Across Formats: Similar metrics existed in multiple forms across different databases and documents, complicating interpretation and slowing audits.
Inaccessible for Non-Technical Teams: Controllers and finance leads had no easy way to retrieve insights without relying on analysts or engineers.
Dependency Analysis Bottlenecks: Manual tracing of input dependencies and waterfall impacts led to delays and inconsistencies.

Solution

iLink deployed a multisource agentic AI chatbot, built on iLink’s proprietary Copilots & Multi-Agent AI framework, the solution utilized Python scripts, memory agents, and Microsoft Fabric for orchestration, ensuring end-to-end performance and explainability.

Business Outcome

80% Faster Dependency Analysis

Reduced manual effort with real-time insight into data linkages.

100+ Structured Tables Unified

Consolidated siloed data into a single intelligent layer.

10K+ Expert Documents Parsed

Delivered contextual answers by indexing vast document repositories.

Ease of Information Retrieval

Provide a way for non-technical users to access data as needed via human language

Quick Decision Making

Provide answers from 10K+ documents and 100+ tables in the DW

Improved Controllership Intelligence

Provided finance teams with always-on access to contextual and explainable answers.

Conclusion

With iLink’s multi-agent AI architecture, the client redefined how finance teams interact with data,moving from dashboards to dialogue. This innovation not only accelerated time-to-insight but also created a repeatable model for other business units to scale data access and automation through secure, explainable AI.

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