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Modernize content systems, activate information, and build a foundation for AI


Cloud modernization transforms legacy systems into connected, cloud-based environments. It goes beyond migration, improving how information is governed, accessed, and used across the business. The result is less complexity, faster operations, and information that’s ready to support automation, AI, and continuous innovation.
Cloud modernization is about rethinking how systems and information operate in a cloud-first world. Rather than simply moving existing technology to new infrastructure, it focuses on reshaping platforms and practices to support scalability, resilience, and faster change.
By modernizing how content and applications are designed and managed, organizations can break down technical silos and enable smarter ways of working. This shift creates a connected, more adaptable environment—one that supports evolving business needs, easier integration, and long-term innovation.
By allowing content, workflows, and applications to work together, organizations can improve how teams collaborate, how decisions are made, and how systems support both people and automation.
Cloud modernization includes:
Cloud modernization matters because organizations are shifting from systems built for people to systems that support automation and AI. It’s increasingly about activating business information for use beyond human access. Modern systems must support not only how people find and use content, but how automated systems and AI can securely retrieve, interpret, and act on it.
Most legacy environments cannot support this shift. Content is fragmented, governance is inconsistent, and systems lack integration. This limits how information can be used across processes and slows decision-making.
The shift is driven by a broader change in how organizations operate. Work is no longer just about accessing documents—it’s about using information to power AI-driven decisions and drive outcomes across systems and workflows.
Legacy systems were designed for storage and retrieval, not for connected, real-time use. As organizations adopt automation and AI, gaps between what their systems can support and what the business requires continue to grow.
Key reasons organizations modernize:
Cloud content modernization closes these gaps by creating a more connected, adaptable environment.
Cloud modernization changes how information flows through the business. It replaces disconnected systems with connected environments where content, processes, and applications work together. Information is no longer stored in isolation—it becomes part of a broader operational context.
It changes how:
These changes shift technology from a system of record to a system of action. Information actively supports business processes instead of slowing them down, enabling faster execution and more consistent outcomes.
Migration and modernization solve different problems—but both are part of the cloud journey. Migration focuses on moving systems to the cloud. Modernization goes further by improving how systems, content, and workflows operate across the business.
Migration changes where systems run. Modernization improves how the business operates. Organizations that stop at migration often carry forward the same inefficiencies. Modernization is what unlocks long-term value from cloud investments.
Cloud modernization isn’t just about moving or improving systems. It’s about activating information—accessing, governing, and using it across the business by both people and systems.
Instead of being locked in repositories, information becomes usable across workflows, applications, and AI-driven processes. This allows organizations to move from static storage to dynamic information use.
In modern environments:
Modern cloud platforms replace large, disruptive upgrade cycles with continuous updates, reducing operational risk and allowing organizations to adopt new capabilities more quickly.
Cloud modernization improves operations by reducing friction and connecting processes. By aligning systems, content, and workflows, organizations can eliminate delays caused by manual steps and disconnected tools.
Operational benefits include:
These improvements reduce bottlenecks, improve consistency, and allow teams to focus on higher-value work. Over time, this leads to faster execution, better outcomes, and improved operational resilience.
AI systems require accurate, governed, and connected information. Legacy environments often prevent this by limiting access to complete and reliable data.
Modernized environments improve how information is structured and controlled, making it usable across both human workflows and AI systems.
With modernized environments, organizations can:
This enables:
As organizations adopt more advanced AI capabilities, access to governed, high-quality information becomes critical. Without it, AI outputs become unreliable and risk increases.
Without governance, organizations can’t control how information is used, shared, or protected. This creates risk across operations, compliance, and AI initiatives. As a result, organizations frequently struggle with:
Modern platforms embed governance directly into workflows. Policies are applied automatically, ensuring content remains secure, compliant, and auditable.
Without these controls, organizations risk exposing sensitive information and producing unreliable outputs from analytics and AI systems.
ERP cloud modernization often requires content modernization. Business processes such as finance, HR, and procurement depend on documents and records that must be connected to workflows.
When ERP systems move to the cloud, gaps in content management become more visible.
Common challenges:
A modern approach:
Cloud modernization improves business performance and IT efficiency.
Business benefits:
IT benefits:
These benefits compound over time as organizations reduce complexity and move to continuous improvement models.
Cloud modernization helps organizations overcome the limitations of legacy systems.
It can help you:
Many of these challenges become more visible as organizations adopt cloud, automation, and AI. Modernization provides a path to resolve them in a structured and sustainable way.
OpenText helps organizations modernize content, processes, and governance across cloud environments. Solutions support SaaS, private cloud, and hybrid models, allowing organizations to modernize at their own pace—whether starting fresh or evolving existing systems.
OpenText helps organizations:
OpenText™ intelligent content management systems integrate content across enterprise systems to eliminate silos and ensure information is accessible, secure, and actionable across the business.
For existing customers, cloud modernization isn’t a rebuild—it’s an evolution. Many organizations run stable, business-critical systems but face pressure to improve agility, reduce upgrade cycles, and prepare for AI. Modernization extends the value of those investments while shifting to cloud-based delivery models.
Rather than replacing systems, organizations can:
ACTIVATE with OpenText helps organizations move from on-premises content infrastructure to the cloud in a structured, low-risk way—while building the governed foundation that AI and automation require. The program starts with an assessment of your current environment against modernization and AI readiness criteria. From there, it identifies where to simplify and consolidate, maps a phased transition based on your business priorities, and supports a progressive shift to cloud—SaaS or private cloud—with protected integrations and dual-run capability so nothing breaks along the way.
What makes it different: your existing maintenance helps fund the transition. And the end state isn't just "in the cloud"—it's information that's governed, curated, and ready for the next generation of AI-driven workflows.