Government agencies have made significant progress in recent years in digitizing their paper records and moving to the cloud. But such efforts often don’t deliver the outcomes agencies expect. The problem, in many cases, is that the content, while digitized, remains disconnected: The documents are not consistently structured, tagged or organized. This makes it difficult to adopt automated tools for searching, managing and protecting the content, forcing them to rely on slow, error-prone manual processes.
AI can help agencies build data governance into their processes. For example, instead of manually reviewing and routing documents, agencies can use AI to ingest new content seamlessly and more efficiently, extracting content and applying metadata for better classification. AI also enables them to embed governance into workflows, ensuring that metadata, retention rules and security policies travel with the content.
“Whether responding to a constituent inquiry, fulfilling a Freedom of Information Act request, or making a policy decision, agencies rely on accurate, governed content,” said Andy MacIsaac, Senior Solutions Marketing Manager at Laserfiche. “Modern content management provides that operational backbone that organizations need to have in order to fully digitally transform.”
In this video interview, MacIsaac discusses how AI can expand the capabilities of content management initiatives. Topics include:
- Leveraging AI to empower business users
- Key use cases for agentic AI in content management
- Best practices for applying AI to content management



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