← Cases
MexicoConstruction and engineering2025 – ongoing

Cemex

LUCA Bot financial-analysis agent for executives

Cemex's LUCA Bot handled 400 to 500 financial queries monthly, according to its executives

WorkingVendor case studyVendor ↗

Problem

Executives searched reports or contacted colleagues for internal financial information. Answers could take hours or days.

Approach

Cemex launched LUCA Bot in 2025 after a trial. Built with Microsoft Foundry and Azure OpenAI, it answered natural-language questions about internal financial data. Access followed each executive's authorized business scope.

Results

400 to 500queries handled monthly, per Microsoft's account of Cemex's resultsVendor case study[1]
82%reported accuracy for analysis answersVendor case study[1]
92%reported accuracy for data answersVendor case study[1]

Takeaway

Reported accuracy differed between data answers and financial analysis, leaving analysis as the weaker task.

Categories

Business function
Finance, risk and legal
Innovation type
Process innovation
Evidence
Vendor case study

Sources

Source summaries

[1]Microsoft12 Feb 2026

Microsoft reported LUCA Bot's monthly query volume and separate accuracy figures for analysis and data. Cemex assessed responses against a weekly benchmark of 500 predefined questions.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗