DocuMind: A Comprehensive Framework for Transforming Documents into Autonomous Agents with Blockchain-Enhanced Trust Infrastructure
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Abstract
This research introduces DocuMind, a comprehensive framework for transforming static documents into autonomous agents capable of reasoning about their content and executing actions in real-world environments. The framework addresses the critical gap between passive document consumption and active document operationalization through a systematic five-stage architecture: document ingestion and analysis, agent brain provisioning, workflow orchestration, tool integration, and governance mechanisms. Our approach enables documents to become active participants in business processes, monitoring their own compliance and executing their own requirements with unprecedented fidelity and efficiency.
The research validates four key hypotheses through rigorous experimental evaluation: (1) documents can be transformed into effective autonomous agents with an 87.3 % task completion rate and 0.89 fidelity score; (2) the five-stage architecture provides
DocuMind: Document-to-Agent Transformation Framework 2 sufficient functionality for 90%+ of common business document types; (3) blockchain governance reduces dispute resolution time by 76.3% while improving trust scores by 42.6%; and (4) the unified tool abstraction layer supports sub-2-second response times for up to 200 concurrent agents. A comprehensive user study with 45 participants across legal, IT, and research domains demonstrates good to excellent usability (SUS score 80.1) with 85% achieving proficiency within 30 minutes.
The framework’s blockchain integration provides a novel trust infrastructure for autonomous systems, addressing accountability, transparency, and cross-organizational collaboration challenges. Performance analysis reveals dramatic improvements in response time (99.9% reduction compared to manual processes) while maintaining competitive accuracy (91.7%). The research establishes document-to-agent transformation as a viable paradigm for next-generation document management and automation systems, with implications extending beyond immediate technical contributions to fundamental changes in how organizations operationalize their knowledge assets.
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Copyright (c) 2025 Marco van Hurne
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