"How Embedded AI Enhances Workflow Orchestration in Pega" | [International Journal of Communication Networks and Information Security • 2024]

Author(s):

1. Sivasatyanarayanareddy Munnangi: PEGA Senior System Architect, USAA, San Antonio, Texas

Abstract:

Pega's embedded AI capabilities have become a transformative tool for workflow orchestration in organizations across various sectors. By integrating AI directly into workflow management systems, Pega enhances operational efficiency through intelligent task prioritization, resource allocation, and outcome prediction. Unlike traditional systems that rely on static rulebased workflows, Pega's embedded AI leverages real-time data, learning algorithms, and predictive analytics to optimize processes dynamically.This article explores how Pega's embedded AI capabilities are reshaping workflow orchestration, with specific emphasis on its application in industries such as financial services, healthcare, and customer service. Through real-world case studies, the article demonstrates how AI can identify bottlenecks, predict task outcomes, and automatically adjust workflows to ensure optimal resource utilization and faster decision-making. The integration of AI also allows for real-time adjustments, ensuring that workflows remain responsive to changing conditions.In this paper, we discuss how organizations can achieve faster time-to-value, improved operational efficiency, and enhanced customer satisfaction by embedding AI into their workflow orchestration strategies. We also delve into the methodologies behind Pega's AI-driven orchestration, its potential limitations, and the challenges organizations face when integrating this technology into existing business systems.

Page(s): 2060-2066

DOI: DOI not available

Published: Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 4, Year: 2024

Keywords:

resource allocation , Predictive Analytics , Workflow Orchestration , Pega Systems , Embedded AI

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