AI plays a pivotal role in content management, elevating how organizations and employees interact with, understand, and use information. AI content management solutions apply the discipline, governance, and security of content management, tightly coupled with the latest natural language processing and artificial intelligence techniques. This delivers a more powerful and personal user experience, allowing users to:

Unlock insights from structured and unstructured data and various data types, such as images, video, and audio files.

Improve content quality, organization, and control.

Engage with information in new ways with intelligent conversational search.

Receive relevant, accurate answers, with content filtered based on access and permission controls.

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Great AI needs great content management
Create a culture of knowing with AI content management
GenAI makes it easy for users to ask questions using the language they understand and are comfortable with, even if they are unsure of the exact wording. GenAI deals with human concepts, can cross language barriers, and understands the relationship between the user’s intent and technical terminology. AI content management solutions reveal relationships hidden within real-world data, allowing the content to tell the story. As a result, users can automate time-consuming knowledge work and more quickly understand content with sentiment analysis, visualization, and knowledge graphics, freeing individuals to focus on higher-value tasks.
Employees are often overwhelmed by the growing volume, complexity, and variety of information siloed across repositories and business systems, crippling productivity. Foundry Research, sponsored by OpenText, found that 66 percent of employees report losing business opportunities due to an inability to access information in a timely manner. And more than half (54 percent) report spending two hours or more per day searching for information to do their jobs.
AI content management solutions give users a natural conversational approach to content search, discovery, and summarization through an AI content assistant. This boosts productivity by helping users:

Save time by finding information at record speed—no matter where it’s located.

Improve decision-making by reducing the effort required to understand content, trends, and patterns.

Extend information value by sharing content and insights across teams and projects.

Work smarter with automated knowledge discovery and comprehensive analysis.
AI content management solutions integrate with the systems employees use every day, such as Microsoft Teams, Outlook, SAP, Salesforce, Guidewire, Google Workspace, and many more. These integrations eliminate app switching, making relevant documents, emails, and insights available directly within business workflows. This improves adoption, reduces friction, and ensures AI works with accurate, governed information at the moment of need.
They provide lifecycle governance, retention policies, legal holds, audit trails, and secure access controls. Content is encrypted in transit and at rest, with fine-grained permissions and SSO. Automated classification, versioning, and policy-based controls reduce risk and support regulatory requirements. Audit logs give compliance teams visibility into access and activity. AI can also identify sensitive content and surface compliance concerns early.
AI analyzes documents, emails, and rich media to detect sensitive information, classify it accurately, and apply appropriate controls. It highlights compliance risks, supports data loss prevention, and helps organizations enforce governance policies consistently. By ensuring AI only uses content employees are permitted to see, these solutions strengthen trust and help organizations scale AI responsibly.
Organizations can choose public cloud, private cloud, or managed services. Public cloud offers SaaS simplicity and collaboration, while private cloud provides dedicated control, strong security, and hosted infrastructure for OpenText platforms. Managed services handle daily operations while maintaining availability and compliance. This flexibility helps organizations adopt AI at their pace while meeting security and regulatory needs.
They connect content across repositories, enrich it with metadata, classify it based on policy, and apply governance controls so AI can use information safely and accurately. This transforms scattered, unstructured data into trusted, AI-ready knowledge. With this foundation, organizations can scale semantic search, copilots, and workflow automation confidently.