AI isn’t struggling because the models aren’t powerful enough. It’s struggling because enterprises are asking AI to reason over content that isn’t trusted, governed, or contextual.

Most organizations are seeing the same pattern: promising pilots, strong early productivity gains, but then, friction. Outputs can’t be validated. Sources can’t be traced. Compliance teams step in. Scaling stalls. In fact, only a small percentage of organizations are truly ready to scale AI securely today due to content, quality, governance, and risk challenges.[1]

AI outcomes depend on content that is accurate, governed, and connected to the business context in which decisions are made. That’s the foundation OpenText™ Content Cloud was built on, and what continues to differentiate our approach to AI. This is reinforced by recent analyst recognition, with OpenText named a Leader in the 2025 IDC MarketScapes for Intelligent Document Processing and Knowledge Discovery—validating our leadership in secure, enterprise-grade AI.

Let’s take a closer look at our latest AI content management innovations that are helping organizations move from experimentation to real, operational impact.

AI-to-AI integration: Bringing OpenText Content Aviator into Microsoft Copilot

One of the biggest barriers to AI readiness is information fragmentation. Content lives across repositories, business apps, and collaboration tools. When AI can’t access governed enterprise knowledge, outputs are incomplete or unreliable.

That’s why a major 26.1 innovation is our next AI-to-AI integration between OpenText™ Content Aviator™ and Microsoft Copilot, embedded directly within Microsoft 365 applications. This integration connects Copilot to trusted, enterprise-governed content without users ever leaving the tools they work in every day.

Knowledge workers can:

• Surface summaries and key insights grounded in enterprise content
• Access source documents and support records in real time
• Validate AI responses with traceable, governed references
• Eliminate manual searches and reduce app-switching

The result is faster decisions, higher confidence in outputs, and AI experiences that reflect enterprise standards for trust and accountability.

Industry innovation: Modernizing financial services with Content Next

AI content management leadership isn’t just about horizontal platforms—it’s about solving industry-specific challenges where governance, scale, and compliance requirements are non-negotiable. Financial services is no exception.

That’s why we’re proud to partner with Fiserv to co-innovate Content Next™, a cloud-based content and workflow solution built on OpenText™ Core Content Management, purpose-built for financial institutions.

Content Next enables banks and credit unions to:

• Unify digital banking and back-office content processes
• Automate financial workflows with embedded AI
• Scale securely across multi-tenant, regulated cloud environments

Fiserv will begin onboarding customers to Content Next in 2026.

It’s a powerful example of how OpenText combines deep cloud content management and industry partnership to deliver AI innovation for some of the most regulated organizations in the world.

From pilots to enterprise impact

What we hear from customers is consistent: they don’t need more AI experimentation. They need AI that works securely, predictably, and at scale.

That requires more than models. It requires governed content, connected workflows, and traceable knowledge foundations. Our approach is built around embedding AI directly into enterprise content systems and business applications to ensure intelligence is contextual, compliant, and operational from the start.

AI readiness isn’t about deploying more tools. It’s about activating the content enterprises already trust.

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