PUBLICATION
Towards Governance-Aware Local and Hybrid AI Agents for Web Applications
Type
Conference Paper
Year
2026
Authors
Research Area
Web Engineering
Event
26th International Conference of Web Engineering (ICWE2026)
Published in
Web Engineering: 26th International Conference, ICWE 2026, Lyon, France, June 9 – June 12, 2026, Proceedings
ISBN/ISSN
tba
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Abstract
Governance of AI systems is becoming a critical issue as both societal and regulatory circumstances demand requirements such as safe information handling, transparency, and explainability. This is complicated by the widespread use of third-party-operated LLMs, which limits organizations’ control over the embedding and enforcement of governance and organizational policies directly within the agent. Consequently, users are required to exercise caution or are prevented from using these agents when interacting with web applications that contain potentially sensitive information or require transparent and explainable processing. We propose a framework and architecture for embedding governance and organizational policies for data handling and explainability within web agents based on local, tool-calling small language models. This core will be expanded with governance-aware hybrid routing to remote LLMs for non-critical tasks, balancing the high capabilities of large, third-party provided systems with the safe and transparent environment established through local processing.