OpenText and Cohere are combining enterprise information management with agentic AI in a partnership aimed at governments and highly regulated industries. The planned solution will connect OpenText’s data and context layer with Cohere’s North agentic AI platform and enterprise models, giving organizations more options over how AI agents access data, execute workflows, and where those systems are deployed.
The next phase of enterprise AI is moving beyond chatbots and copilots toward systems that can reason over business information and take action across workflows. That shift is creating a second challenge alongside model performance: how organizations can give autonomous AI access to sensitive enterprise data without losing control over security, governance, and deployment.
OpenText and Cohere are targeting that problem through a strategic partnership announced at the ALL IN AI conference. The companies plan to combine OpenText’s enterprise data and context capabilities with Cohere’s North agentic AI platform and foundation models.
The planned offering is expected to reach customers in early 2027, with an initial focus on governments and regulated sectors such as healthcare, financial services, insurance, and other organizations with stringent data requirements.
OpenText’s role is centered on the information layer. Its technology can connect AI systems with structured and unstructured enterprise information across content, business networks, IT operations, and cybersecurity environments. Cohere, meanwhile, supplies the model and orchestration layer through North and its enterprise AI models.
In practical terms, the partnership is designed to let AI agents retrieve relevant organizational information and use it within automated workflows while giving customers greater control over deployment. OpenText and Cohere say customers will be able to deploy the technology on-premises or through private, public, or sovereign cloud environments.
That deployment flexibility is becoming increasingly important as organizations move AI from experimentation into production. OpenText currently reports more than 120,000 enterprise customers across 180 countries, while its platform portfolio already includes AI capabilities through OpenText Aviator.
The companies also plan to integrate Cohere’s platform and models into OpenText Aviator AI agents and establish a reseller relationship through SOLEX. The arrangement therefore goes beyond a model-provider integration: it creates a route for combining enterprise information management, AI models and agent orchestration within existing corporate environments.
The timing reflects a broader change in enterprise software. Gartner predicts that 33% of enterprise software applications will include agentic AI capabilities by 2028, compared with less than 1% in 2024. Gartner also expects at least 15% of day-to-day work decisions to be made autonomously through agentic AI by that year.
IDC’s research similarly indicates that agentic AI initiatives are already underway at 56.1% of surveyed organizations, illustrating how quickly enterprises are moving from experimentation toward operational deployments.
For enterprise technology teams, the partnership highlights an emerging architecture in which AI models are only one component. Data access, retrieval, identity, governance, orchestration and deployment controls increasingly determine whether an agent can operate safely inside mission-critical environments.
That creates a competitive landscape involving major cloud and AI ecosystems such as Microsoft, Google, Amazon and NVIDIA, alongside enterprise software vendors building proprietary agent platforms. The OpenText-Cohere approach differentiates itself around the combination of enterprise information management, sovereign deployment options and agentic orchestration.
The eventual test will be whether organizations can move these capabilities beyond controlled pilots into measurable production workflows while maintaining appropriate governance. Gartner has warned that more than 40% of agentic AI projects could be canceled by the end of 2027 because of escalating costs, unclear business value or inadequate risk controls.
For OpenText and Cohere, the partnership positions trusted enterprise data and deployment control as foundational requirements for the next generation of AI agents rather than secondary considerations.
Market Landscape
Enterprise AI is shifting from conversational assistance toward agent-based systems capable of coordinating tasks across applications and business functions. IDC estimates that more than half of the enterprise application market already includes AI assistants or AI advisors, while approximately 20% has incorporated complete AI agents.
This creates demand for infrastructure that connects models with governed enterprise information. Vendors including Microsoft, Google, Amazon, Salesforce, Adobe and NVIDIA are developing different layers of the enterprise AI stack, while companies such as OpenText and Cohere are emphasizing data control, private deployment and specialized enterprise workflows.
Security and governance are becoming central to this transition. IDC reported in July 2026 that enterprises allocate an average of 16.7% of planned AI spending to AI and agent security and governance.
For regulated organizations, the architectural question is therefore not simply which AI model to deploy, but how agents access information, what actions they can perform, how those actions are governed, and where the underlying data and AI infrastructure operate.
Top Insights
- OpenText will provide enterprise data and context while Cohere supplies models and orchestration through North for regulated AI deployments.
- The planned early-2027 solution targets governments and regulated industries requiring stronger control over data location, security and deployment.
- Integration with OpenText Aviator could connect Cohere’s agentic capabilities with established enterprise information-management environments and workflows.
- On-premises, private, public and sovereign-cloud options address different enterprise requirements around compliance, infrastructure and data residency.
- The partnership reflects a broader shift toward AI architectures where governed enterprise data becomes as important as models and agent orchestration.
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