Neuro-symbolic AI for enterprise systems: Transforming CRM & ERP through logical and statistical AI integration
Year: 2025
Type: article
Abstract: Neuro-Symbolic AI (NSAI) represents a paradigm shift in enterprise software by integrating deep learning capabilities with symbolic reasoning frameworks to address critical limitations in current AI implementations for Customer Relationship Management and Enterprise Resource Planning systems. This hybrid approach combines the pattern recognition strengths of neural networks with the logical inference capabilities of symbolic AI, creating intelligent systems that offer enhanced explainability, improved reasoning, and more transparent decision-making processes. By bridging statistical machine learning with rule-based symbolic processing, NSAI enables enterprises to develop AI solutions that simultaneously learn from data while respecting explicit business rules and regulatory constraints. The integration facilitates advanced applications across sales optimization, compliance monitoring, risk management, customer service automation, and supply chain intelligence, ultimately delivering enterprise systems that balance adaptability with accountability while maintaining human oversight in critical business processes.
Author: Siva Prasad Sunkara
Institution: Microsoft (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410243306