ECONOMIC EVALUATION OF ARTIFICIAL INTELLIGENCE IMPLEMENTATION IN COMPANY BUSINESS PROCESSES

The integration of artificial intelligence into corporate business processes is one of the most promising directions for increasing operational efficiency and strategic resilience of companies. This article examines key applications of AI in production, logistics, customer, and management segments, and analyzes their impact on economic outcomes. The focus is on evaluating the return on AI projects using ROI, NPV, IRR, and TCO indicators. Typical business cases and mechanisms for generating economic value through cost reduction, process acceleration, and decision quality improvement are presented. The article justifies a phased implementation approach based on organizational readiness, digital infrastructure maturity, and data quality.

Authors

Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.05.08.019
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ECONOMIC EVALUATION OF ARTIFICIAL INTELLIGENCE IMPLEMENTATION IN COMPANY BUSINESS PROCESSES

Alan A. Zhilyaev, Э Р Гузуева, Natalya A. Appalonova
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Economic and Technological Systems Analysis
article

ECONOMIC EVALUATION OF ARTIFICIAL INTELLIGENCE IMPLEMENTATION IN COMPANY BUSINESS PROCESSES

Alan A. Zhilyaev, Э Р Гузуева, Natalya A. Appalonova
article en

Abstract

The integration of artificial intelligence into corporate business processes is one of the most promising directions for increasing operational efficiency and strategic resilience of companies. This article examines key applications of AI in production, logistics, customer, and management segments, and analyzes their impact on economic outcomes. The focus is on evaluating the return on AI projects using ROI, NPV, IRR, and TCO indicators. Typical business cases and mechanisms for generating economic value through cost reduction, process acceleration, and decision quality improvement are presented. The article justifies a phased implementation approach based on organizational readiness, digital infrastructure maturity, and data quality.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 5/8(158)
Openalex Percentile: Top 83%
Economic and Technological Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.