Why context matters: Building trust with a secure AI content assistant

Without context, AI can’t be trusted. Discover how secure content foundations turn AI assistants into reliable business partners.

Mike Safar  profile picture
Mike Safar

January 09, 20263 min read

Nearly every organization is now expected to apply generative AI to its initiatives to improve worker and team efficiency and capabilities. The latest frontier models deliver amazing insights and creative draft responses; however, many initiatives are stalling due to difficulties bridging data silos, weak information governance, and a lack of business context. These issues become evident quickly, leading to a lack of trust and an inability to move an AI strategy forward.

Why do AI strategies fail without content foundations?

Many organizations attempt to build a GenAI strategy on public AI tools; without the right content foundation, however, these strategies break down quickly:

  • Limited management over information security: Content resides outside enterprise governance
  • AI without context: No connection to internal documents, metadata, or processes
  • Unreliable responses: Data remains unclassified, siloed, and inconsistent
  • Disconnected from process: AI cannot navigate business processes when content isn’t tied to how work happens
  • No traceability: Responses cannot be validated or trusted

To move beyond AI experimentation to enterprise AI strategies, enterprises need an information management foundation built on secure, connected, contextual content.

How does OpenText help to build the missing foundation?

OpenText content management platforms provide the controls and organization necessary for a successful AI strategy in the form of a business workspace that helps manage policy and automation to ensure governance, security, and AI in context. Business workspaces give AI the structural intelligence needed for GenAI models to deliver the expected results. They help enterprises:

  • Bind AI to repeatable business processes, ensuring outputs align with real workflows
  • Govern content with policies that enforce trustworthiness
  • Sharpen AI inference by classifying and enriching content
  • Ground metadata with an integrated knowledge graph so AI understands relationships

Business workspaces turn disconnected information into intelligence and intelligence into effective AI.

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Learn how business workspaces turn content into intelligence

How does an AI content assistant drive contextual intelligence?

OpenText Content Aviator brings GenAI to contextualized and well-governed information naturally.  It does this by:

  • Embedding directly within OpenText content management platforms, including OpenText Core Content Management, OpenText Content Management, and OpenText Documentum Content Management
  • Respecting user permissions and privacy boundaries, ensuring every answer is narrowly grounded in the information for which the current user has permissions
  • Connecting content to business systems like Salesforce, SAP, and Microsoft 365 through shared metadata
  • Surfacing precise, contextualized answers, not generic model training, which can lead to hallucinations
  • Supporting highly regulated industries with traceable results grounded in enterprise content

By combining generative capabilities with decades of information management expertise, Content Aviator delivers AI you can trust, AI that is rooted in your data, your processes, and your context.

The future is an AI content assistant in context

Successful AI strategies will extend beyond basic GenAI attributes, such as prompting, and will require secure information management for AI.  AI that truly understands your business and transforms risk into reliability, and context into productivity.

Ready to take off on your AI journey?

If you’re ready to experience AI that understands your business as well as you do, it’s time to meet OpenText Content Aviator.

Discover what you can achieve with OpenText Content Aviator

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Mike Safar

Mike Safar leads product marketing for OpenText AI content management and information governance products and serves as a subject matter expert on the intersection of generative AI and information management. Mike has been a product marketing and product management leader in content management and information governance for more than 30 years, having previously held leadership positions at Interwoven, Hewlett Packard Enterprise, and PC DOCS Group.

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