• AI transforms traditional records management by automating the classification, retention and disposition of enterprise content, significantly reducing manual effort and human error.

• By leveraging intelligent data extraction and natural language search, AI makes unstructured records fully discoverable, improving response times for audits and information requests.

• AI-powered governance proactively identifies sensitive data (PII) and applies security policies, enhancing compliance with regulations like GDPR and HIPAA.

Organizations today face an ever-growing volume of information. As much as 80% of this enterprise data is unstructured, taking the form of emails, reports, contracts and media files. This constantly expanding content is often scattered across disconnected systems, making it difficult to access and govern.

Traditional approaches to records management are no longer sufficient. These methods are labor-intensive, prone to human error and struggle to scale with data growth. This creates significant compliance risks, increases operational costs and leaves valuable information locked away and inaccessible when it's needed most.

Artificial intelligence introduces a new level of intelligence and automation to records management. By understanding and processing content like a human, AI-powered solutions can handle complex tasks at scale, turning records management from a cost center into a strategic business function.

Automated classification and data curation

Using natural language processing (NLP) and machine learning, AI tools like intelligent document processing (IDP) can read, understand and classify the content and context of a document. IDP automatically assigns metadata and tags based on predefined business rules or learned patterns, ensuring every record is filed consistently and correctly without manual effort. This is critical for applying proper retention policies and ensuring findability.

AI-powered data curation in the form of structuring and normalizing unstructured content makes enterprise data consistent and ready for downstream use. Products like Hyland Knowledge Enrichment apply that transformation to more than 600 file types by using a combination of both LLMs and deterministic techniques. Through this structuring of previously unstructured content, Knowledge Enrichments helps enrich content with relevant context, improve data quality and AI output, and optimize data for downstream applications.

> Read more | Advantages and disadvantages of unstructured data

Intelligent data extraction and validation

AI-powered optical character recognition (OCR) and pattern recognition models can identify and pull specific data fields from both structured forms and unstructured documents. This technology can extract invoice numbers, contract dates or customer names from dense paragraphs of text. It can also cross-reference information with existing databases to validate its accuracy, reducing downstream errors.

Hyland IDP is an AI-powered solution that accurately extracts data from documents, which reduces manual data entry and ensures the information within your records is both complete and correct.

> Read more | What is intelligent document processing?

Enhanced search and information discovery

AI revolutionizes search by moving beyond keywords to understand user intent. This semantic search capability allows the system to find conceptually related information even if the exact search terms are not present in the document. Users can ask conversational questions and get precise answers, dramatically speeding up e-discovery and audit responses.

Hyland Knowledge Discovery, a tool that quickly finds critical information across your enterprise. This allows employees to search using complex questions and receive relevant, context-aware answers sourced directly from the organization's records.

Proactive governance and compliance

AI algorithms can be trained to recognize sensitive data patterns, such as Social Security numbers, credit card details or protected health information. Once identified, robust solutions like Knowledge Enrichment can automatically apply redactions or enforce specific access controls, as well as mask personally identifiable information (PII). AI-powered tools also automate the management of record lifecycles, flagging items for disposition based on complex retention schedules and reducing the risks associated with manual oversight.

> Read more | Tackling compliance costs in 2025

Agentic automation for complex workflows

The most advanced AI takes the form of autonomous agents that can reason, plan and execute multistep processes. In records management, an AI agent could receive a request, find all related documents across different systems, compile them into a single package and notify a stakeholder for review. This orchestrates an entire workflow without requiring step-by-step human intervention.

Hyland Agent Builder, a solution for designing and deploying AI agents, allows organizations to manage the entire AI agent lifecycle. With orchestration tools, such as Hyland Automate, they can automate most complex workflows and balance that with human oversight. Additionally, these intelligent agents can be embedded in other applications using native integrations or even third-party APIs.

> Read more | Explore the power of AI agents

The application of AI in records management delivers tangible benefits across various sectors, addressing unique industry challenges with intelligent automation.

Healthcare

Healthcare providers manage vast amounts of unstructured patient data, from physician’s notes to lab results. AI helps structure these records to create a complete patient history, which supports better clinical decision-making and streamlines compliance with regulations like HIPAA.

> Read more | The revolution of AI in healthcare

Financial services

Firms in financial services must adhere to strict regulatory requirements for communication and record-keeping. AI can automate the monitoring and auditing of financial communications, flagging non-compliant language or identifying potential risks in real time.

> Read more | Revolutionizing financial services

Insurance

The claims process relies on accurately compiling information from numerous sources, including forms, photos and reports. AI-powered solutions accelerate this process by intelligently analysing this mix of content.

For example, the technology can automatically extract a policy number from a claim form, identify the cost of repairs from a mechanic’s invoice and even classify the type of damage shown in a photograph. This creates a complete and accurate claims record, improving customer service and operational efficiency.

Government

Government agencies must efficiently respond to public records requests while protecting sensitive information. AI streamlines this process by quickly locating relevant documents across multiple repositories.

Solutions like Knowledge Discovery and Knowledge Enrichment can also automate the redaction of sensitive information, ensuring transparency without compromising security.

Adopting AI for records management requires a strategic approach. To succeed, organizations must address several key considerations to build a strong foundation for intelligent automation.

Ensuring data quality and AI-readiness

An AI system is only as effective as the data it is trained on. Before implementing AI, organizations must ensure their content is clean, structured and ready for AI consumption.

Using products like Knowledge Enrichment, you gain the essential tools to for transforming scattered, unstructured content into a high-quality, AI-ready data foundation.

Integrating with existing systems

Enterprise records are rarely stored in a single location. A successful AI strategy must account for content stored in multiple disconnected repositories.

Hyland Content Innovation Cloud™, a unified content, process and application intelligence platform, is built on a federated architecture, allowing it to connect to and govern content where it lives. This approach provides unified access without requiring costly and disruptive data migrations.

Governance and responsible AI

Implementing AI introduces new governance considerations. It is critical to establish clear policies, guardrails and human-in-the-loop checkpoints to ensure AI models are used responsibly and ethically.

Hyland is committed to providing solutions that enable scalable supervision and support robust AI governance frameworks, giving organizations confidence and control.

> Read more | AI strategy essentials for success

Hyland AI product overview

Hyland's AI-powered and AI-enabled products work together to deliver intelligent automation and unlock the full potential of enterprise content. Hyland Agent Builder can orchestrate powerful agentic workflows by leveraging the capabilities of the entire Hyland AI suite.

Hyland Agent Builder

An agent configuration and lifecycle management tool that enables organizations to design and manage enterprise-grade AI agents for specific content-driven tasks. It helps augment the human workforce and implement AI at scale.

Hyland Knowledge Discovery

An AI-powered search, information discovery and decision support application that unlocks relevant business insights across multiple repositories and information stores. It uses AI agents to retrieve and generate information to accelerate decision-making.

Hyland Knowledge Enrichment

A data management suite that transforms raw, unstructured content into structured, high-quality, AI-ready data for AI agents, AI systems and analytics platforms. It provides the context needed for AI agents and systems to produce better output.

Hyland IDP

An AI-powered solution that automates document capture, extraction and classification to enable efficient and accurate data processing.

Hyland Automate

An AI-enabled automation solution designed to simplify complex processes, reduce manual tasks and boost operational efficiency