Global leader in secure information management for AI, OpenText, revealed its vision for the future of enterprise artificial intelligence with the launch of the OpenText AI Data Platform (AIDP). The new platform addresses the convergence of data and AI to deliver secure, scalable enterprise capabilities.
As proprietary data volumes grow at an unprecedented rate, organisations are under increasing pressure to effectively manage, secure and activate their information assets. A recent McKinsey annual State of AI study found that 51 % of organisations deploying AI experienced at least one negative outcome or accuracy issue underscoring the critical need for mature information governance.
With its innovation roadmap, OpenText is helping customers build contextual data foundations that power accurate AI results and accelerate business outcomes.
“AI is evolving rapidly, from search and summarise to domain-specific agents. Rather than the world of one super agent, we will soon have armies of secure AI agents for every critical business process coordinated through AI orchestrators,” said Savinay Berry, CPO & CTO at OpenText. “While others are starting with models, we start with governed enterprise content and processes. That’s why our agents will answer with auditability and not guesswork. We believe that accuracy through trusted data and AI is not just an IT challenge; it is a C-level imperative.”
A Vision for Contextual AI
OpenText’s AI strategy draws on nearly 35 years of experience supporting customers as custodians of their enterprise data. For practical enterprise AI to deliver results, agents must understand the context the specific situation, environment and task they serve. With the right context, organisations can breathe new life into existing data, overcome relevance challenges and avoid “false confidence”.
OpenText’s business applications already support the largest data sets across documents, commerce trades, IT tickets and security signals whether human-generated, machine-generated or inter-organisational content. Metadata tagging supports data lineage, rights and retention policies. Wrapped around this are data security and identity access management, ensuring the contextual elements that drive accurate enterprise AI.
At the heart of the offering is OpenText Aviator, layered atop context-rich data to enable automated workflows through agentic AI. Aviator is differentiated by three core standards:
- Multi-cloud: Supports on-premises, cloud and hybrid deployments.
- Multi-model: Compatible with any AI model (LLM, SLM), including bring-your-own-model options.
- Multi-application: Deep integration with ERP, CRM and other enterprise platforms.
This open-architecture framework allows organisations to tailor their AI strategy to industry-specific, compliance-sensitive business needs. OpenText is working across the ecosystem with strategic partners such as SAP, Microsoft, Google, Salesforce and Oracle on a roadmap for agent-to-agent workflows.
Also Read: BigID Launches “Embedded BigID” SDK to Embed Data Discovery and Protection Directly Into Applications
In addition, OpenText is deepening its collaboration with Databricks, the data and AI company. OpenText already builds solutions on the Databricks Data Intelligence Platform (including OpenText Threat Detection and Response). Now, the two firms will co-innovate on the OpenText AI Data Platform with technical integrations and Delta Sharing. This partnership will enable customers to unify, govern and analyse all enterprise data and unlock trusted AI insights at scale.
“With the OpenText AI Data Platform, we are building a truly open architecture enabled by APIs so the choice of where the data resides always sits with our customers. AI agents must be built on specific data sets to be relevant and accurate,” continued Berry. “Whether in automotive, banking, oil and gas, or pharmaceuticals, our platform will enable integrations at multiple layers with strategic partners to enable agents to leverage domain-specific knowledge securely.”
Showcasing Innovation at OpenText World 2025
At the company’s annual flagship event, OpenText World 2025, OpenText unveiled several significant innovations and shared an 18-month roadmap (spanning releases OT 26.1 through OT 27.2) designed to redefine how enterprises interact with data and AI:
- OpenText AI Data Platform (AIDP) – An open, unified data and AI framework with a governance orchestration layer enabling AI agents (Aviators) to unlock new value.
- OpenText Aviator Studio – A no-code platform for building, governing and connecting enterprise AI agents, enabling faster realisation of ROI from AI.
- OpenText Knowledge Discovery – A suite of tools to ingest structured and unstructured data, automate metadata tagging and connect to real-time rich data sources.
- OpenText Data Compliance – A comprehensive set of services including AI-readiness assessments, data redaction, PII controls, data tokenisation, encryption, privacy protection and threat detection & response.
- OpenText Aviator AI Services – Professional Services team to assist customers from discovery through deployment and adoption of purpose-built AI agents to deliver business value.
Get Started
Organisations can begin leveraging OpenText Aviator today for practical enterprise use cases from fraud detection to claims management to predictive maintenance. OpenText Aviator’s entry-tier package will be included with an upgrade to OT 26.1 of Content Management, Service Management and Communications Management at no additional fee. It will also be available on-premises starting with OT 26.1 for Content Management, Communications Management, Service Management, DevOps Management and Application Security.
Continuing to support customers navigating complex requirements around data sovereignty and AI, OpenText remains committed to enabling secure, governed AI deployments.
