Intelligent Workflow Orchestration for Expense Attribution and Profitability Analysis

• Author(s): Olatunde Gaffar ; Ayoola Olamilekan Sikiru ; Mary Otunba ; Adedoyin Adeola Adenuga
• Paper ID: 1709986
• Page: 221-240
• Published Date: 05-05-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 6 December-2019

Abstract

Intelligent workflow orchestration represents a transformative approach to financial operations, enabling organizations to automate and optimize complex processes such as expense attribution and profitability analysis. Traditionally, these tasks relied on static, rule-based systems and manual data handling, often resulting in inefficiencies, inaccuracies, and delayed decision-making. By integrating advanced technologies—such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and business process management systems (BPMS)—intelligent orchestration provides dynamic, scalable, and data-driven solutions that enhance both the speed and precision of financial workflows. In the context of expense attribution, intelligent orchestration systems can automatically classify and route cost data across various business dimensions—such as departments, product lines, geographies, and customer segments—based on real-time business rules and predictive models. These systems leverage structured and unstructured data from diverse sources, including enterprise resource planning (ERP) systems, customer relationship management (CRM) tools, invoices, and external feeds. Machine learning models can identify patterns in expense behavior, detect anomalies, and continuously refine attribution logic, thereby reducing human intervention and enhancing auditability. On the profitability analysis front, intelligent orchestration facilitates the seamless integration of expense data with revenue streams, enabling granular insights into product, customer, and channel-level profitability. This level of analysis empowers decision-makers to optimize resource allocation, pricing strategies, and operational efficiency. Additionally, intuitive dashboards and real-time analytics support more proactive and informed financial planning. This explores the architecture, enabling technologies, implementation strategies, and real-world applications of intelligent workflow orchestration in finance. It also addresses critical challenges, including data governance, interoperability, and organizational change management. As businesses strive for greater agility and intelligence in financial operations, intelligent workflow orchestration emerges as a pivotal capability for driving sustainable profitability and strategic competitiveness in a data-centric economy.

Keywords

Intelligent workflow, Orchestration, Expense, Profitability analysis

Citations

IRE Journals:
Olatunde Gaffar , Ayoola Olamilekan Sikiru , Mary Otunba , Adedoyin Adeola Adenuga "Intelligent Workflow Orchestration for Expense Attribution and Profitability Analysis" Iconic Research And Engineering Journals Volume 3 Issue 6 2019 Page 221-240

IEEE:
Olatunde Gaffar , Ayoola Olamilekan Sikiru , Mary Otunba , Adedoyin Adeola Adenuga "Intelligent Workflow Orchestration for Expense Attribution and Profitability Analysis" Iconic Research And Engineering Journals, 3(6)