Building Intelligent Bots with SAP Conversational AI and BTP Workflow

Intelligent process automation through the integration of conversational AI and workflow technologies represents a transformative approach to enterprise operations.This comprehensive evaluation explores how the convergence of SAP Conversational AI and SAP Business Technology Platform Workflow creates powerful synergies that address fundamental challenges in business process execution.The integration enables natural language interactions with complex enterprise systems, significantly enhancing accessibility while reducing process friction.Through sophisticated intent recognition, entity extraction, and contextual awareness capabilities, these systems facilitate seamless process initiation and management across organizational boundaries.The architectural framework supporting this integration ensures enterprise-grade performance with high availability and security standards.Practical applications span multiple domains, including human resource management, procurement operations, IT service management, and financial processes, each demonstrating substantial improvements in efficiency, accuracy, and user satisfaction.The technological convergence creates a self-reinforcing cycle where improved experiences drive adoption, generating additional data for continuous enhancement through machine learning algorithms.This integration paradigm fundamentally transforms how organizations conceptualize humansystem interactions in enterprise environments, democratizing access to critical business processes through conversational interfaces.

Authors

Publication Details

Journal
International Journal for Information Security Research
Published
2025-06-30
DOI
https://doi.org/10.20533/ijisr.2042.4639.2025.0127
Primary Topic
Data Stream Mining Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Building Intelligent Bots with SAP Conversational AI and BTP Workflow

Lakshmi Srinivasa Rao Gogula
International Journal for Information Security Research
Data Stream Mining Techniques
article

Building Intelligent Bots with SAP Conversational AI and BTP Workflow

Lakshmi Srinivasa Rao Gogula
article en

Abstract

Intelligent process automation through the integration of conversational AI and workflow technologies represents a transformative approach to enterprise operations.This comprehensive evaluation explores how the convergence of SAP Conversational AI and SAP Business Technology Platform Workflow creates powerful synergies that address fundamental challenges in business process execution.The integration enables natural language interactions with complex enterprise systems, significantly enhancing accessibility while reducing process friction.Through sophisticated intent recognition, entity extraction, and contextual awareness capabilities, these systems facilitate seamless process initiation and management across organizational boundaries.The architectural framework supporting this integration ensures enterprise-grade performance with high availability and security standards.Practical applications span multiple domains, including human resource management, procurement operations, IT service management, and financial processes, each demonstrating substantial improvements in efficiency, accuracy, and user satisfaction.The technological convergence creates a self-reinforcing cycle where improved experiences drive adoption, generating additional data for continuous enhancement through machine learning algorithms.This integration paradigm fundamentally transforms how organizations conceptualize humansystem interactions in enterprise environments, democratizing access to critical business processes through conversational interfaces.

International Journal for Information Security ResearchVol. 15(1)
Openalex Percentile: Top 88%
Data Stream Mining Techniques
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Building Intelligent Bots with SAP Conversational AI and BTP Workflow — Lakshmi Srinivasa Rao Gogula · International Journal for Information Security Research (2025) | TGRS Research Map | TGRS