

AI Agents for Unstructured Data
20 snips Sep 24, 2025
In this discussion, Stephan Donze, Founder and CEO of AODocs, dives into the enterprise unstructured data crisis, revealing that a staggering 80% of corporate data remains untapped. He explains how AI agents can revolutionize document workflows while ensuring trust and compliance. Stephan contrasts traditional document management with agentic AI, showcasing productivity enhancements for repetitive tasks. He also highlights the risks of AI-driven search and emphasizes the importance of data integrity and governance in cloud-native environments.
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Unstructured Data Dominates Enterprises
- Most enterprise data is unstructured and remains largely untapped, often exceeding 80% of corporate data.
- AODocs focuses on identifying and protecting the small critical subset within that mass to reduce risk and speed processes.
AI Unlocks Scale For Documents
- AI enables automated classification and information extraction at scale where humans were the bottleneck.
- Stephan calls this a revolution comparable to big data for structured information years ago.
Automate Boring Tasks, Keep Humans For Decisions
- Use AI agents to automate repetitive tagging and extraction, and keep humans for decisions requiring judgment.
- Apply AI to handle ~80% of boring tasks so workers focus on higher-value work and decisions.