Enterprise AI is moving beyond experimentation. Organizations have deployed generative AI broadly, but many are discovering the same challenge: insight alone does not drive business outcomes. AI must be able to act inside real business processes, across enterprise systems, and against trusted information.

That is where many AI initiatives begin to stall.

Most enterprise content still lives across fragmented repositories, legacy archives, disconnected workflows, and heavily customized on-premises environments. These systems were not designed for AI interoperability, agentic workflows, or modern cloud-scale governance. As a result, organizations are struggling to operationalize AI securely, confidently, and at scale.

This is why cloud modernization has become more than an infrastructure initiative. It is now a prerequisite for enterprise AI.

With OpenText™ Content Cloud 26.2, we are bringing these priorities together: helping organizations modernize enterprise content for the cloud while embedding agentic AI directly into governed business workflows.

The result is a content foundation built not just to store information, but to activate it.

Move from AI insight to AI execution

The next phase of enterprise AI is not about generating more content. It is about enabling AI systems to reason, orchestrate, and execute work securely within the flow of business. That requires AI grounded in governed enterprise content and business context.

With Content Cloud 26.2, OpenText is expanding agentic AI capabilities across the portfolio through new AI-to-AI interoperability, purpose-built agents, and deeper workflow integration.

This includes support for emerging interoperability standards such as Model Context Protocol (MCP) and agent-to-agent (A2A) frameworks, enabling AI systems to securely exchange context and coordinate actions across enterprise environments. As organizations increasingly adopt multiple AI platforms, interoperability becomes critical. Enterprises will not operate with a single model or assistant. They will operate ecosystems of AI agents working across applications, repositories, and business processes.

OpenText Content Cloud platforms become the trusted orchestration layer that connects those systems together.

We are also introducing new OpenText™ Content Aviator agents designed to execute work directly within content workflows — from generating templated business documents to managing records tasks, triggering workflows, and surfacing governed content through enterprise knowledge graphs using natural language interaction.

Across OpenText™ Documentum Content Management and OpenText™ Capture, we are continuing to embed AI directly into enterprise processes through semantic discovery, AI-assisted workflow execution, and LLM-powered extraction for complex documents such as handwriting, low-quality scans, and dense tables that traditional capture systems often struggle to process accurately.

At the same time, OpenText™ Knowledge Discovery is helping organizations make rich media AI-ready by transforming images and video into searchable, classifiable enterprise content using AI-generated descriptions and metadata enrichment.

Connect AI across the systems where work happens

Enterprise AI delivers the most value when it operates within the applications employees already use every day.

Content Cloud 26.2 continues to expand governed AI experiences across major enterprise ecosystems including Microsoft, Google, Salesforce, and SAP. This reflects a broader shift happening across the market: AI works best when it is grounded in trusted information and connected directly to the systems where employees already work.

Within Microsoft Copilot environments, users can validate AI-generated responses against governed enterprise content using inline citations and secure references. In Google Gemini, organizations can securely retrieve governed enterprise content directly within Gemini chat while maintaining permissions and keeping data in place through OpenText™ Core Content Management integration.

For customer-facing workflows, OpenText integrations with Salesforce Agentforce allow users to access governed business workspaces and enterprise content directly within service interactions, helping teams work faster without losing business context.

Our SAP integrations continue to expand as well. Through OpenText™ Vendor Invoice Management for SAP Solutions and SAP Joule integration, organizations can streamline invoice approvals, validate payment terms, flag exceptions, and interact with governed enterprise content using natural language directly within SAP workflows.

We are also extending governed employee document management into SAP SuccessFactors workflows, enabling organizations to automate employee document generation, onboarding workflows, digital signing, and compliance processes directly from HR events. By embedding content management into the employee lifecycle, organizations can reduce manual work while improving governance and employee experience.

Modernize your content foundation for AI

AI readiness starts with modernizing the information layer beneath it. For many organizations, the biggest barrier to AI adoption is not the AI model itself. It is the complexity of decades-old content environments filled with customizations, disconnected repositories, compliance requirements, and deeply embedded business processes.

Content Cloud 26.2 introduces new modernization capabilities designed to help organizations move to the cloud without starting over.

Within OpenText™ Content Management, new migration tooling helps organizations assess private cloud readiness earlier by evaluating dependencies, customizations, and migration scope upfront — reducing risk and making modernization more predictable. Expanded Microsoft 365 multi-tenant support also enables organizations to manage governance consistently across distributed collaboration environments without duplicating infrastructure.

For OpenText™ Documentum Content Management customers, new cloud-native modernization capabilities help preserve existing extensions and customizations while simplifying administration, improving observability, and enabling more flexible development environments in the cloud.

We are also continuing to simplify information archiving modernization, including streamlined SAP archiving architecture that reduces complexity and supports phased cloud adoption strategies.

The future of enterprise AI depends on trusted information

Enterprise AI is rapidly evolving from passive assistants to active digital workers capable of orchestrating tasks, interacting across systems, and executing work autonomously. But AI systems are only as effective as the information foundation beneath them.

Organizations that modernize their content environments, govern enterprise information effectively, and connect AI directly into business context will be best positioned to scale AI securely and successfully.

With Content Cloud 26.2, OpenText continues to advance that foundation — combining cloud modernization, governed content, and agentic AI into a unified platform designed for the next era of enterprise work.

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