How Intelligent Document Processing is Opening the Door to AI in State and Local Agencies

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This op-ed by Brent Blawat, an AI strategist with over 24 years of experience in technology development, explores the increasing adoption of Intelligent Document Processing (IDP) within state and local governments. Despite initial skepticism about artificial intelligence, IDP stands out as a palatable AI application, delivering immediate value through automation while incorporating human oversight. Blawat highlights the role of IDP in streamlining document-heavy processes such as tax form processing and DMV interactions, offering a bridge between the traditional and digital worlds without displacing human workers. These attributes make IDP an appealing first step for agencies that are cautious about AI implementation.

The article underscores the inherent safeguards in IDP, such as human intervention when confidence scores are low, which ensures reliability and trust. Additionally, IDP can significantly reduce manual data entry, enabling public sector workers to focus on more strategic tasks. Blawat concludes that IDP’s potential to handle routine tasks efficiently and cost-effectively makes it a gateway to broader AI initiatives in government. With the right safeguards, IDP could ease public sector agencies into more advanced AI applications.

Why Read This Article?

Government adoption: Highlights how IDP is becoming a trusted AI use case, offering a practical entry point for cautious agencies.

Human oversight: Emphasizes the built-in safeguards in IDP, where human review ensures accuracy, reducing the risk of errors.

Workforce enhancement: Shows how IDP supports workers by automating routine tasks, allowing them to focus on higher-value, strategic activities.

Cost-effective AI: Demonstrates how IDP can provide a measurable return on investment, an appealing factor for budget-conscious agencies.