The Enterprise AI Roadmap at OpenText marks a major shift in how organizations manage and use business content, evolving Core Content from a leading SaaS platform into a fully contextualized “AI in Context” environment. With the introduction of Content Aviator in release OT 26.1, OpenText is pushing AI directly into workflows where documents shape outcomes.
These intelligent capabilities streamline claims resolution, simplify invoice processing, and improve talent acquisition and onboarding by applying AI to the decision points embedded in enterprise content.
The strength of this approach depends on deep integrations across SAP, Microsoft, Salesforce, and other systems, creating a unified content layer where metadata, lineage, permissions, and retention rules give AI agents the context needed for accuracy, compliance, and traceability.
Digital Experience enhancements within the Enterprise AI Roadmap expand this shift toward contextual intelligence. OpenText’s strategy embraces the idea that modern customer engagement revolves around real-time, personalized conversations rather than static pages or forms.
With new capabilities arriving in OT 26.2, AI becomes the primary interface for engagement while still operating on top of dependable digital experience engines that support multichannel delivery, optimization, and personalization.
This approach acknowledges that innovation must coexist with operational stability. Instead of chasing flashy demos, OpenText is blending conversational interfaces with enterprise-grade architecture so customers gain practical, measurable improvements in customer journeys.
On the operations side, Business Network advancements in the Enterprise AI Roadmap aim to transform supply chains from fragmented, reactive systems into intelligent networks. The introduction of AI-optimized orchestration layers activates specialized agents that focus on forecasting, delivery management, and quality oversight.
Trading Grid 25.4 serves as a leading example, providing network-wide visibility that identifies anomalies, predicts demand shifts, and uncovers quality issues before they become business problems. This transition moves organizations from chasing down failures to anticipating and preventing them, reducing costs and improving resilience.
Cybersecurity remains a foundational pillar in the Enterprise AI Roadmap. OpenText is prioritizing AI-driven resilience through advanced encryption, privacy controls, and application security systems designed for hybrid environments.
The release of Core Identity Management cloud capabilities in version 25.4 reinforces secure access, while improved Threat Detection and Response tools deliver real-time protection against evolving threats.
As regulatory pressure intensifies and attack surfaces expand, OpenText’s security-first model ensures that AI adoption strengthens rather than compromises enterprise defenses. The goal is not only to detect threats faster but also to predict and neutralize them before they disrupt operations.
DevOps transformation also plays a critical role in the Enterprise AI Roadmap. OpenText is adding intelligent automation, predictive insights, and autonomous testing powered by domain-specific agents. Full integration with GitHub Copilot enables end-to-end functional testing directly within enterprise environments like SAP, Oracle, Workday, and Salesforce.
These advancements position ADM as a comprehensive platform for quality engineering, reducing manual testing effort while increasing coverage across complex application landscapes. Over time, these capabilities enable organizations to release faster, maintain higher accuracy, and operate with more reliable pipelines.
A distinguishing feature of the Enterprise AI Roadmap is its philosophical foundation rooted in decades of expertise managing enterprise information. Chief Product Officer Savinay Berry describes a future where “armies of secure AI agents” work alongside AI orchestrators to tackle highly specific business processes.
This contrasts with the idea of a single super-agent that attempts to handle everything. OpenText’s view is grounded in real-world needs: specialized agents equipped with context, rules, and domain knowledge deliver more accuracy, clearer audit trails, and safer outcomes. By building on governed content, rich metadata, and structured processes, these agents provide reliable support rather than speculative guesses.
To make this vision practical, OpenText organizes the Enterprise AI Roadmap into five guiding pillars. Discover focuses on unlocking structured and unstructured data. Connect links applications as interoperable data products. Act deploys agents through secure control planes. Govern enforces compliance, redaction, and risk mitigation.
Monitor provides visibility into drift, hallucinations, performance, and end-to-end audit trails. This framework prevents organizations from falling into the trap of isolated AI tools that break governance and create integration chaos. Instead, it ensures AI is built on a durable, compliant foundation.
The partnership ecosystem expands the Enterprise AI Roadmap further through alliances with SAP, Microsoft, Google, Salesforce, Oracle, and Databricks. These partnerships enable deeper integrations, advanced data sharing, and unified governance models.
The strengthened collaboration with Databricks enhances the AI Data Platform with shared intelligence and domain-specific insights, giving customers more power to operationalize high-quality data across industries ranging from banking and automotive to pharmaceuticals and energy. Crucially, OpenText’s open architecture ensures customers maintain full control over where their data resides while still enabling secure, high-value AI use cases.
Looking forward, OpenText’s 18-month Enterprise AI Roadmap focuses on delivering continuous improvements anchored in contextual intelligence, specialized agents, and unified integration.
Aviator AI Services accelerate adoption by helping customers with data preparation, solution design, and deployment strategies aligned with real business outcomes. This long-term vision positions OpenText uniquely among enterprise vendors, leveraging decades of information management expertise to deliver AI that is governed, consistent, and ready for mission-critical operations.
Explore how enterprise software leaders are translating AI hype into practical business value through governed implementations, visit ainewstoday.org for comprehensive coverage of agentic workflows, contextual intelligence frameworks, multi-cloud strategies, and the architectural approaches determining whether organizations can confidently deploy AI across critical processes or remain constrained by accuracy concerns and governance gaps!