Generative and agentic AI are transforming how organizations work, but the real foundation for trusted, scalable AI is unstructured data. Most enterprise knowledge lives in documents, chats, and messages, and organizations that can govern and activate these areas will lead in the AI era.
Generative and agentic AI are reshaping how organizations use information, but the foundation for unlocking real value isn’t the AI tools themselves. It lies in unstructured data.
Today, 70-90% of all enterprise information exists in unstructured formats like documents, chats, emails, and PDFs. Most of it sits unused, poorly governed, duplicated, or stored without context, making it difficult to trust, costly to maintain, and risky to expose.
As organizations rush toward AI adoption, many encounter roadblocks: unclear sources of truth, skyrocketing storage costs, immature governance, and accidental exposure of sensitive information. These challenges highlight a larger truth: AI cannot deliver trusted insights when the information feeding it is disorganized, duplicated, or ungoverned.
Why Unstructured Data Matters Now
AI models thrive on context-rich, high-quality data. Unstructured data contains enormous institutional knowledge, including customer interactions, decisions, contracts, policies, yet organizations rarely harness it effectively.
With the right strategy, organizations can:
- Increase Efficiency and Automation: Metadata, auto-classification, and lifecycle management turn scattered content into AI-ready information.
- Strengthen Security and Trust: Governance and access controls ensure sensitive information is protected, even when surfaced by AI.
- Reduce Technical Debt and Storage Costs: Cleaning up legacy repositories and ROT content lowers cloud spend and legacy licensing costs.
- Unlock Enterprise Knowledge: Governed, contextual data improves AI accuracy and reduces hallucinations.
Real-World Impact
Organizations that tackle unstructured data strategically see tangible benefits: automated approvals, personalized client experiences, enterprise knowledge discovery, and higher trust in AI outputs.
How Deloitte Helps
Deloitte supports clients through:
- Certified information management specialists who identify sources of truth
- Proven unstructured data strategies built for AI scalability
- Business-led, tech-enabled delivery with immediate ROI
- Reduction of cloud storage and legacy technical debt
A strong unstructured data strategy isn’t just cleanup for compliance purposes, it’s the foundation for safe, accurate, enterprise-scale AI.
About the authors
Brynessa Gradley leads Deloitte's National Digital Intelligent Information Strategy team. Brynessa advises companies on their unstructured data strategy, business and technology transformation, portfolio strategy, operating model design, and process improvement – supporting executive teams in the enablement of their digital, agentic and generative AI, execution.
Olena Kit is an information management leader in unstructured data strategy, records management, and information architecture, helping organizations improve findability, strengthen compliance, and scale IM practices.
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