IBM has announced what it describes as its most comprehensive expansion yet of enterprise artificial intelligence and hybrid cloud management capabilities, introducing a new suite of products designed to help organisations operationalise AI at scale.

The company unveiled the next generation of IBM WatsonX Orchestrate for multi-agent orchestration, alongside IBM Concert for intelligent operations, IBM Confluent to enable real-time data access for AI applications, and IBM Sovereign Core for sovereignty-focused operational control.

The launch comes as enterprises continue to grapple with the challenge of translating AI investments into measurable business outcomes. While many organisations have significantly increased spending on AI initiatives, only a limited number report substantial returns.

“The enterprises pulling ahead are not deploying more AI – they’re redesigning how their business operates,” said Arvind Krishna, Chairman and CEO of IBM.

“Running AI in the enterprise requires a new operating model, and IBM is enabling organisations to manage AI-driven systems with the same rigour, governance, and scale as their most critical infrastructure,” Krishna added.

IBM said modern enterprise AI requires a new operating framework built around four interconnected systems: coordinated AI agents capable of executing and adapting across business functions; real-time connected data that provides shared operational visibility; end-to-end automation across workflows and infrastructure; and hybrid operational models that ensure sovereignty, governance, and security.

The company said these pillars collectively represent a shift from isolated AI deployment toward enterprise-wide transformation.

A key component of the announcement is the next-generation Watsonx Orchestrate, currently available in private preview, which IBM is positioning as an agentic control plane for the multi-agent era.

The platform is designed to help enterprises manage increasingly complex AI ecosystems as organisations move from deploying a handful of AI agents to potentially thousands built across different teams and platforms.

According to IBM, the upgraded platform enables organisations to deploy AI agents from multiple sources while maintaining consistent policy enforcement, governance, accountability, and near real-time auditability.

The latest expansion reflects IBM’s broader strategy to strengthen its position in enterprise AI infrastructure and hybrid cloud services as businesses seek scalable, secure frameworks for AI adoption.