A Framework for Multimodal Document Intelligence and Fraud Prevention: Leveraging AI and Machine Learning-Enabled Device for Enhanced Decision-Making (Powered by DeepSeek-R1 and AI Agents)

Tikhnadhi Kamlakshya and Ashish Hota
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Tikhnadhi Kamlakshya: Citizens Bank

No g5hw7_v1, OSF Preprints from Center for Open Science

Abstract: This paper introduces a novel framework for multimodal document intelligence, designed to enhance fraud prevention across various sectors. The core innovation lies in the integration of advanced AI and ML techniques, including OCR, deep learning, and NLP, within a purpose-built computer device for multimodal data fusion, as detailed in the author's recently granted patent by www.gov.uk/ [Intellectual Property# 6419907]. This device facilitates the seamless integration of textual, visual, and metadata elements extracted from documents, enabling a holistic understanding of the document's veracity and intent. The escalating sophistication of fraudulent activities across industries necessitates advanced, adaptive security measures. This paper presents a novel framework for multimodal document intelligence, designed to enhance fraud prevention in sectors such as banking and finance, life science and healthcare, government, and the public sector. Grounded in a recently patented AI and ML-enabled computer device for multimodal data fusion, the framework leverages Optical Character Recognition (OCR), deep learning-based image analysis, and natural language processing (NLP). Furthermore, it integrates the capabilities of DeepSeek-R1, a high-performance Mixture-of-Experts (MoE) large language model (LLM), and autonomous AI Agents for advanced reasoning, contextual understanding, and decision-making. This integrated approach facilitates proactive fraud detection, improved risk assessment, and strengthened compliance adherence, while also achieving unprecedented cost-effectiveness in deployment and operation. The efficacy of the framework is demonstrated through illustrative use cases, highlighting its potential to mitigate financial losses and uphold data integrity. Keywords: Salesforce, Salesforce Financial Cloud, RAG, Data Completeness, Finance, Sales, Campaign, Digital Engagement, Customer Data Platform (CDP), Data Cloud, DeepSeek-R1, Optical Character Recognition (OCR), deep learning-based image analysis, and natural language processing (NLP)

Date: 2025-02-11
New Economics Papers: this item is included in nep-big and nep-cmp
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:g5hw7_v1

DOI: 10.31219/osf.io/g5hw7_v1

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