The future of enterprise data lies not in structured databases but in the vast troves of unstructured content that have long been overlooked. Otherwise known as content, this includes the documents, images, contracts, emails, and more that make up nearly 90% of enterprise data — yet has historically been difficult to analyze or leverage at scale.
By combining advanced AI capabilities, including agentic AI, with modern content management strategies, organizations can turn sprawling document archives into intelligent assets that streamline workflows, enhance security, and even transform customer experiences. Partially for this reason, according to new data from the Box State of AI Report, 90% of companies expect to increase their AI spending next year, and high AI ROI companies already spend a quarter of their IT budget on AI.
In a recent webinar, Ravi Malick, Global CIO at Box, led an insightful discussion into the potential Intelligent Content Management brings. Joined by Wendy Barron, CIO of the Texas Department of Motor Vehicles, and Ken Grady, Founder and Partner at HEVA Partners Consulting, the conversation explored the challenges and opportunities in applying AI to content generation, data extraction, workflows, security, and more.
The Texas DMV is transforming the customer experience
The Texas Department of Motor Vehicles uses Intelligent Content Management to modernize the handling of millions of scanned title records and associated digital files. They’ve implemented metadata tagging and records retention to better manage growing file volumes and expenses.
The agency’s initial driver was cost savings and the impetus to move away from an outdated system lacking records retention and metadata capabilities. Now, the agency uses AI, in Barron’s words, to “wrap good metadata and records retention around those files.” The next step is to apply intelligent analyses to these files, enabling new services — like allowing customers to upload important documents to a portal before visiting a DMV office. By streamlining processes, the Texas DMV can turn previously static, manual archives into dynamic assets that support innovation — and more importantly, it can speed up and improve the DMV customer experience.
Heva Partners advises clients on how to approach AI
Grady founded Heva Partners, a technology consulting and change management firm, after a long and diverse career leading companies focused on life sciences, pharmaceuticals, diagnostics, and vaccine technology development. He spoke of how AI is not merely about making work a little more efficient, but about rethinking work itself. As just one theoretical example, he spoke of sales representatives managing hundreds of accounts, who could use AI to quickly surface key contract differences or customer service issues, effectively gaining years’ worth of tribal knowledge instantly.
Similarly, legal, procurement, marketing, and supply chain functions can benefit from AI-driven insights embedded in their workflows. As Grady emphasized, the AI goal for most organizations is not to replace employees but to amplify productivity, freeing those humans to focus on strategic initiatives rather than repetitive tasks.
Security as a baseline for AI use cases
Enabling AI without disrupting security and compliance is table stakes for any company. In the webinar, both Barron and Grady emphasized the importance of protecting privacy and intellectual property, particularly in regulated environments like government agencies and healthcare.
Barron articulated that in public sector organizations like the Texas DMV, sensitive unstructured data must be protected amid evolving work environments such as remote work and bring-your-own-device policies. She highlighted the risks of data leaving the organization unintentionally through channels like email attachments, and stressed the need for secure file sharing that enables business progress while ensuring control. Barron appreciates Box’s ability to securely store content and enable traceable sharing, ensuring that AI usage does not compromise data privacy. This layered security approach helps prevent fraud and unauthorized access, which is vital for protecting constituents and complying with regulations.
Grady compared Intelligent Content Management to a “walled garden” with strict access controls, audit trails, and data governance policies, ensuring AI operates within secure boundaries without exposing confidential information. This approach allows organizations to confidently apply AI without risking data leakage or regulatory violations.
Instituting the change in a thoughtful way
Both leaders stressed the importance of change management in the process of adopting Intelligent Content Management. In his experience implementing Intelligent Content Management in healthcare organizations, Grady drove adoption across thousands of users by starting with core workflows like standard operating procedures and electronic signatures, then expanding to broader use cases as users recognized the platform’s value.
Barron noted that while some public sector organizations may initially balk at the change, the long-term return on investment — through improved security, efficiency, and customer service — is worth it.
Looking ahead, the evolution of AI models toward agentic workflows promises even greater automation and intelligence. AI agents capable of multi-step reasoning will increasingly handle end-to-end business processes, further embedding AI into daily operations. Organizations that build flexible, open architectures today will be best positioned to capitalize on these advances tomorrow.
How to get started with Intelligent Content Management
Intelligent Content Management provides a single source of truth for all unstructured content across the enterprise, integrating AI-powered metadata extraction, workflow automation, and secure collaboration capabilities. By enabling seamless integration with existing applications, Intelligent Content Management empowers businesses to embed intelligence throughout their technology stack. This approach supports scalability and flexibility, essential for adapting to evolving AI models and growing organizational needs.
For those beginning their journey, Malick recommended starting small: identify meaningful use cases that deliver immediate business value, such as generating instant insights or automating document review. Centralizing content safely is the foundational step, followed by layering AI-powered intelligence and workflow automation. Throughout, maintaining frictionless security and compliance ensures trust and protects the organization.
The convergence of content management and AI is reshaping how enterprises unlock the value of their unstructured data. Intelligent Content Management platforms like Box provide a unified, secure, scalable foundation that enables organizations to transform sprawling, fragmented content ecosystems into agile, AI-powered engines of innovation. As Barron and Grady’s experiences demonstrate, embracing this approach not only drives operational efficiencies and cost savings but also opens the door to reimagining work and delivering superior customer experiences in an increasingly digital world.
To learn more about Content + AI, join us at BoxWorks, September 11-12, 2025.
