IBM unveils its blueprint to help enterprises run AI at the core of their business

At its Think conference on Monday night, IBM announced what it calls a new operating model for the agentic enterprise.

It encompasses coordinated AI agents that execute across the business, real-time connected data, end-to-end automated workflows, and hybrid, including IBM Sovereign Core.

“Your AI is only as good as your data, which informs everything that we’ve been doing across both AI and hybrid cloud,” said Rob Thomas, IBM’s SVP of software. “We are talking this week about an AI operating model, which is how do companies leverage AI to become one of the winners in the AI era? It’s about how they do their intelligence, how they do automation, how they create AI for their operations, and ultimately trusted AI.”

Each of the four components of the model, although integrated, is a separate priority, IBM said in its announcement. “Together, they represent a fundamental shift from improving parts of the business to changing how the business operates.”

Product announcements to further the shift included the next generation of watsonx Orchestrate, which becomes an agentic control plane for the multi-agent era. It is now in private preview.

On the data side, the company is leveraging its recent acquisition of Confluent for real-time data streaming built on Kafka and Flink technologies, and the addition of a real-time context layer for AI to upcoming capabilities in watsonx.data.

IBM is also offering private previews of Context in watsonx.data that adds an open, federated context layer to help enterprise AI reason over business data, watsonx.data GPU-accelerated Presto that, the company said, “showed the potential to significantly reduce the cost of running certain workloads and processing time on large enterprise datasets in internal benchmark testing with Nvidia.” In addition, an IBM Z Database Assistant provides an AI-powered workspace to monitor performance, provide automation, and optimize configurations for Db2 and IMS databases across IBM Z environments.

In public preview, IBM announced HCP Terraform powered by Infragraph to offer unified infrastructure visibility.

The IBM Concert platform, also available in public preview, will serve the automation arm of the strategy. It provides a single view across applications, infrastructure, and networks without forcing companies to replace existing tools.

Finally, on the hybrid front, the company announced the general availability of its Sovereign Core.

Sanchit Vir Gogia, chief analyst at Greyhound Research, sees the new focus not so much as a group of products but as an “accountability architecture”.

“IBM’s AI Operating Model should be read less as another AI product bundle and more as IBM naming the problem now sitting at the centre of enterprise AI: accountability,” he said. “Large organizations are not short of AI tools. They are short of ways to govern what those tools do once they begin acting across data, workflows, applications, infrastructure and regulated environments. That is the real shift here. The market has spent two years proving that AI can be useful. The next test is whether AI can be made auditable, costed, secured, reversible and trusted inside the messy estates where enterprise technology actually lives.”

He noted, “IBM’s framing around Data, Agents, Automation and Hybrid is useful because those are not four neat product buckets. They are dependencies. Agents without trusted data become improvisation machines. Automation without governance becomes operational gambling. Hybrid without runtime policy becomes compliance theatre. Data without real-time context becomes yesterday’s truth wearing today’s clothes. The strength of IBM’s argument is that enterprise AI no longer scales as a collection of pilots. It has to operate as a connected system.”

Mark Tauschek, VP of Research Fellowships at Info-Tech Research Group, added, “Agentic orchestration and governance are quickly becoming table stakes as organizations start to see agent sprawl, inconsistent policy applied across agents, increased risk and exposure due to a lack of auditability, and ‘shadow’ AI. watsonx Orchestrate is IBM’s answer to the growing agent sprawl, and an answer to several similar solutions hitting the market in the last couple of weeks alone.”

Overall, “IBM has named the right problem. Now it has to prove the architecture holds under enterprise pressure,” Gogia said. “The future of enterprise AI belongs to those who can govern the action, not merely generate it.”

The article originally appeared on NetworkWorld.