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July 29, 2026Open Access

Verified Agentic AI (VAAI): A Multi-Agent Framework for Trustworthy Large Language Models

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SCSandun Champika

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Overview

Randomized trial evaluates a multi-agent framework for trustworthy AI decisions, suggesting improved reliability in high-stakes domains.

Key Points

  • This research aims to create a unified verification system for large language models to enhance their trustworthiness before decision-making.
  • Developed a multi-agent verification architecture for AI systems.
  • Implemented four specialized verification agents for comprehensive analysis.
  • Evaluated the framework using a financial case to forecast inflation in Sri Lanka.
  • The framework integrates outputs from specialized agents to compute a trust score.
  • Demonstrated improved accountability and trust in AI-generated decisions across models.
  • Enabled enhanced explanations for decision-making in high-risk applications.

Cite This Study

Sandun Champika (2026) studied this question.

synapsesocial.com/papers/6a69a26dc8da07d9defa5c45https://doi.org/10.5281/zenodo.21627230
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