AI Use Cases That Are Transforming Information Management Today

Based on our experience at Iron Mountain and feedback from customers leveraging our Digital Experience Platform (DXP), several use cases stand out as game-changers in the information management field.

Intelligent Document Processing: Bridging Physical and Digital 

We have customers with physical data, customers with digital data, and some customers with both. How do we bridge the chasm between physical and digital? How do we bring them into a unified digital experience platform and extract meaningful information from both, streamlining things like invoice processing, contract management, and regulatory compliance? 

Intelligent Document Processing (IDP) can automate the extraction, classification, and validation of information from structured and unstructured formats. 

Content Understanding and Knowledge Management 

AI can analyze large volumes of content, help identify key themes, extract knowledge, and improve information retrieval, making it easier for employees to find the information they need when they need it. This transforms how organizations approach knowledge management at scale. 

Predictive Information Governance 

AI can analyze data patterns to predict potential compliance risks, identify data quality problems, and automate data retention and disposal policies, ensuring better alignment and reducing the risk of regulatory breaches. We often work with customers to help with their redundant, obsolete, and trivial (ROT) data. 

You don't know what you don't know—the same type of data here in the United States may be treated differently than that data being treated in Europe, for example. How do we stay abreast of this ever-changing regulatory landscape? How do we ensure that we are always going to be in compliance with those regulations? These are things that AI can absolutely help customers with. 

Enhanced Customer Experience Through AI 

We're leveraging AI by analyzing every interaction that we have with customers. Customers may be interacting with us through a phone call, coming in through WhatsApp, chat, or email. How do you pick up customer sentiments? How do you pull that thread across these various disparate channels of engagement? 

How do we understand what the customer sentiments are? Are they happy? Are they unhappy? Why are they unhappy? What should we do? Are we not providing the right quality services? Are we not providing timely inputs to customers? Getting that full picture view of all your customer interactions has been a game changer for us. 

Risk Management and Compliance 

AI can monitor data for anomalies, detect potential security threats, and automate compliance checks, helping organizations in regulated industries meet stringent requirements more effectively than they can do by themselves. 

This blog post is based on an original AIIM OnAir podcast. When recording podcasts, AIIM uses AI-enabled transcription in Zoom. We then use that transcription as part of a prompt with Claude Pro, Anthropic’s AI assistant. AIIM staff (aka humans) then edit the output from Claude for accuracy, completeness, and tone. In this way, we use AI to increase the accessibility of our podcast and extend the value of great content.