Adaptive API Support: A Human-in-the-Loop Agentic RAG Framework for Enterprise Financial Systems

Abstract

The world of enterprise developer support in the context of financial technology is characterized by a critical situation where the artificial intelligence usage rate is increasing, both by speeding up response generation and, at the same time, creating a lack of trust that requires verification by a person before production is put into place. The Agentic Knowledge Orchestrator resolves this paradox by offering a Retrieval-Augmented Generation framework, which conceptually incorporates domain expert validation as an inherent part and not as an exception-handling system. The system enhances AI output by integrating Human-in-the-Loop approval gates directly into enterprise collaboration systems, which convert unverified AI outputs into knowledge artifacts that are validated by subject matter experts before being shared with developer communities. The framework itself works on two-feedback learning strategies that detect expert corrections in validation stages and track patterns of end-user acceptance after the deployment, and will refine the knowledge base on the basis of the authoritative domain knowledge and practical utility indicators. Architectural constraints based on empirical foundations, based on benchmark evaluations, guide reranking strategies, response synthesis budgets that are optimized to financial services settings where accuracy, auditability, and compliance governance are the key design parameters. The architecture seals the recorded divide between recent adoption of AI tools and an ongoing lack of trust in the automated systems by developers by ensuring that automated support systems are tied to human expertise, and yet provide the scalability required of a global enterprise. Such a symbiotic combination of machine smarts and human intuition creates a precedent that can be repeated in areas that are knowledge-intensive and in which error is unavailable, but scale necessitates automation, especially in financial technology ecosystems in which API advice has a role in shaping security-critical deployments, regulatory and compliance adherence, and transaction-processing integrity.

DOI: https://doi.org/10.17762/ijisae.v14i1s.8319