IBM Expands Agentic AI Push for Hybrid Cloud, Mainframes
IBM has expanded its Watsonx Orchestrate platform with AI agent capabilities for hybrid cloud and mainframe environments, targeting Fortune 500 customers in banking, insurance and government, according to AI Business.
The Armonk, New York-based technology company is extending Watsonx Orchestrate to support AI agents that can operate across hybrid cloud deployments and mainframe systems. The expansion targets customers in banking, insurance and government that continue to rely on on-premises computing infrastructure.
IBM is maintaining its multi-model approach to AI, allowing enterprise customers to deploy agents powered by various foundation models rather than locking them into a single provider’s ecosystem. Enterprise customers have increasingly sought model flexibility in their AI deployments to limit vendor dependency.
The agent-focused expansion comes as the enterprise AI market grows more competitive, with major cloud providers and AI startups competing for corporate customers looking to automate complex business processes. IBM’s hybrid cloud and mainframe compatibility targets organizations with decades of investment in on-premises infrastructure that cannot easily migrate to public cloud environments.
Watsonx Orchestrate, IBM’s platform for building and deploying AI agents, is designed to allow enterprises to create agents that can interact with existing business applications and workflows without requiring wholesale infrastructure changes.
IBM’s strategy centers on augmenting existing infrastructure with intelligent automation rather than replacing it. Enterprises running mission-critical applications on mainframes — particularly in financial services and healthcare — can deploy AI agents within those environments without migration.
IBM’s approach contrasts with competitors focused primarily on cloud-native AI deployments, which may appeal to enterprise customers with security, compliance and continuity requirements.
