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EnglishWhat Does OpenText Mean by AI-Ready Information?
Updated
OpenText uses "AI-ready information" to describe enterprise data that has been unified across systems, structured and optimized so AI can use it, and kept secure and compliant throughout its lifecycle. The goal is to turn scattered, siloed content into trusted input for AI models and assistants, rather than leaving data trapped in separate applications. This explanation fits organizations trying to understand OpenText's positioning before evaluating its products; it describes the concept, not a specific product configuration.
The three parts of the definition
OpenText's own framing on its homepage breaks the idea into three connected claims.
1. Manage and connect data
Data is unified across the enterprise to eliminate silos, improve collaboration, and reduce risk. In practice, this means content from different business systems is brought into a common, connected view instead of being managed application by application.
2. Make information AI-ready
Connected data is then transformed into "structured, accessible, optimized information." The emphasis is on structure and accessibility: AI systems need information in a form they can retrieve and reason over, not raw unstructured archives.
3. Keep it secure and compliant
Security and compliance are described as built in, protecting information throughout its lifecycle and helping meet regulatory requirements. For AI use cases, this is the condition that makes the other two steps usable in regulated environments.
How the concept shows up in products
OpenText applies "AI-ready" through its Aviator family of AI products, each aimed at a different domain:
| Product | Domain it applies AI to |
|---|---|
| OpenText Aviator | General AI layer that works with your business data and goals |
| Content Aviator | AI content management and an AI content assistant |
| Fax Aviator | Turning incoming faxes into actions |
| Service Management Aviator | Answers for users, service agents, and IT staff |
| Software Delivery Aviator | App delivery, development, and automated testing |
| Trading Grid Aviator | Knowledge, insights, and guided action across the supply chain |
The pattern is consistent: take a specific content-heavy workflow, connect its data, and apply AI within the security and compliance boundaries the organization already requires.
A concrete example
Consider a company whose contracts live in one system, support tickets in another, and supplier documents in a third. Under OpenText's definition, none of that is AI-ready, because an AI assistant cannot reliably reach across the silos. The path to AI-ready information would be: connect the sources, structure and index the content so it is retrievable, and apply access and compliance controls so the AI only surfaces what each user is permitted to see. Only then does an assistant such as Content Aviator or Service Management Aviator have trustworthy material to work from.
What to check before adopting this framing
- Deployment fit: OpenText lists sovereign cloud, private cloud, on-premises, and public cloud options, so confirm which model matches your control and compliance requirements.
- Scope: decide whether you need a single domain (for example, content management) or cross-enterprise connectivity first; the Aviator products are domain-specific.
- Support terms: OpenText references premium support as a distinct offering, so verify what is included in your agreement rather than assuming it is standard.
The concept is best read as a sequence: connect, structure, secure, then apply AI. Organizations that skip the connection and structuring steps will find that AI tools have little trustworthy information to work with.