In a business where energy costs shift overnight, leaders were waiting on manual reports. Now they ask questions and get instant charts.
A global building materials company in an asset-heavy, multi-regional environment where energy costs can reshape margins overnight and logistics complexity compounds at every level of the supply chain.
Senior leaders needed reliable financial and operational context to compare regional performance, track energy costs, and drive plant-level...
“There’s a big opportunity to automate complex work, while always keeping a human in the loop.”
Global building materials company manufacturing cement, concrete, and aggregates.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Cemex's Financial insights is part of this use case:
Related implementations across industries and use cases
Policies were on the intranet. Employees called HR anyway. Now a Teams agent answers around the clock, freeing HR for complex cases.
Hours searching SharePoint, days waiting for QA, reports rewritten when templates changed. Now two agents answer instantly from live docs.
Answering a single question meant manually searching dozens of PDFs. Now, finance teams use an AI assistant to instantly compare clauses.
Pulling reports from scattered dashboards took two days. Now, employees query an AI assistant for instant commercial insights.
Security rules barred LLMs from their data warehouse. A vault encrypted credentials on the fly; 5,000 now query petabytes in plain English.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Analysts lost days to manual pivot tables. Now, GenAI scans six ERPs to identify and explain margin drivers in milliseconds.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.
In a business where energy costs shift overnight, leaders were waiting on manual reports. Now they ask questions and get instant charts.
A global building materials company in an asset-heavy, multi-regional environment where energy costs can reshape margins overnight and logistics complexity compounds at every level of the supply chain.
Senior leaders needed reliable financial and operational context to compare regional performance, track energy costs, and drive plant-level...
“There’s a big opportunity to automate complex work, while always keeping a human in the loop.”
Global building materials company manufacturing cement, concrete, and aggregates.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Cemex's Financial insights is part of this use case:
Related implementations across industries and use cases
Policies were on the intranet. Employees called HR anyway. Now a Teams agent answers around the clock, freeing HR for complex cases.
Hours searching SharePoint, days waiting for QA, reports rewritten when templates changed. Now two agents answer instantly from live docs.
Answering a single question meant manually searching dozens of PDFs. Now, finance teams use an AI assistant to instantly compare clauses.
Pulling reports from scattered dashboards took two days. Now, employees query an AI assistant for instant commercial insights.
Security rules barred LLMs from their data warehouse. A vault encrypted credentials on the fly; 5,000 now query petabytes in plain English.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Analysts lost days to manual pivot tables. Now, GenAI scans six ERPs to identify and explain margin drivers in milliseconds.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.