Goal-Directed Agentic AI Frameworks for Proactive Query Resolutionand Experience Personalization in Digital Services
DOI:
https://doi.org/10.5281/zenodo.20439738Keywords:
Autonomous AI agents; customer support; digital platforms; intelligent assistance; intelligent automation; natural language processing.Abstract
Nevertheless, full or near-full automation of customer support remains elusive. Current automated solutions are limited in capabilities, often providing only basic and inflexible Digital-platform automation holds the potential to reduce operational costs while improving service quality and availability. assistance. Autonomous AI agents capable of intelligent customer-support task execution would therefore represent a major milestone. Such technology could automatically carry out common support actions and ensure a satisfactory experience for all users that require assistance.
An architectural framework specifying the essential building blocks for the autonomous AI agent operation is proposed. Commonly employed data governance, privacy-preserving techniques, and deployment guidelines are also presented. Together, these concepts provide a theoretical foundation for the automated customer-support automation task in the digital platform domain and serve as guidance for future implementations.
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Additional Files
Published
Data Availability Statement
The research draws on 15 years of practitioner experience and synthetic examples, but no dataset is formally deposited or referenced for public access.
