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IBM and Microsoft Launch Imagine Enterprise Platform for AI Agents

IBM and Microsoft unveiled Imagine Enterprise, a joint platform pairing over 6,000 prebuilt IBM AI agents with Microsoft's cloud and security tools.

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IBM and Microsoft on Tuesday, Nov. 10, announced Imagine Enterprise, a jointly built platform that lets large companies build, run and govern artificial intelligence agents designed to handle industry-specific business processes. The launch puts two of the oldest names in corporate technology behind a single offering at a time when investors are pressing hard to see AI spending turn into revenue.

In a joint press release distributed through PR Newswire, the companies said the platform combines more than 6,000 prebuilt AI agents and related assets from IBM Consulting, the technology giant’s services arm, with Microsoft’s AI, cloud and security software. Seeking Alpha and Investing.com reported the same core details, and none of the coverage disagreed on the main facts.

What the companies announced

AI agents are software programs that can carry out multistep tasks on their own, such as processing paperwork or reconciling accounts, rather than simply answering questions the way a chatbot does. According to the release, Imagine Enterprise is meant to connect these agents to a company’s existing data, processes and systems, while adding controls that let managers monitor what the agents are doing.

Each company is contributing a different piece of the stack:

  • IBM is supplying IBM Consulting Advantage, the AI-powered delivery platform its consultants use, including tools the company calls Process Studio, Context Studio and Advantage Core.
  • Microsoft is supplying Microsoft Foundry, GitHub Copilot, Copilot Studio, the Microsoft Fabric data platform and its Azure cloud infrastructure.
  • Security and governance run through Microsoft Entra for identity management, Microsoft Purview for data governance and Microsoft Defender for security.

Both companies said they will provide forward-deployed engineers, meaning technical staff who work directly inside a client’s operations, for qualifying engagements. Customers can have IBM Consulting deploy and run the platform for them, co-develop larger implementations with IBM, or manage it themselves.

Why it matters for the industries targeted

The first industry frameworks cover financial services, insurance and retail, the companies said, with manufacturing, energy, the public sector and mobility named as possible later additions. The release stressed features aimed at regulated sectors, including support for AI compliance requirements, which have become a major hurdle for banks and insurers trying to move AI pilot projects into everyday use.

Mohamad Ali, senior vice president and head of IBM Consulting, framed the platform as a response to rising customer expectations. “Clients are no longer looking for AI that simply helps people do the same work a little faster,” he said in the statement.

Rodrigo Kede Lima, president of what Microsoft calls its Frontier Company, said in the release that enterprise AI “will be won by organizations that can turn their data, industry expertise, and AI into action.”

The companies named one early participant: SEI, a Pennsylvania-based provider of financial technology, operations and asset management services. SEI said it is exploring agentic technologies with IBM Consulting, with support from Microsoft, to improve its operations and its client and employee experiences. As of Sept. 30, 2026, SEI managed, advised or administered about $2 trillion in assets, according to the release. Sneha Shah, SEI’s chief AI strategist and head of its SEI Next unit, said the firm’s focus is on applying AI “with intention.”

Background: a crowded race and a nervous market

IBM and Microsoft have long worked together on corporate technology projects, with IBM Consulting among the large services firms that help clients deploy Microsoft software. Imagine Enterprise goes further by packaging the two companies’ technologies into a single branded product sold under one name.

The launch comes during a turbulent stretch for AI-related stocks. Chipmaker Nvidia has been under pressure after its board opened a probe involving Chief Executive Jensen Huang, and debt-heavy AI cloud providers have drawn scrutiny over how they finance data center buildouts. Against that backdrop, enterprise software and services companies are under growing pressure to show that corporate customers will pay for AI tools at scale, not just experiment with them.

Neither company disclosed pricing, revenue expectations or financial terms of the partnership. The press release included a standard caution that statements about future plans represent goals and objectives and are subject to change.

What comes next

For IBM, which operates in more than 175 countries, the deal offers a way to push its consulting business deeper into AI implementation work, which tends to involve long, high-value contracts. For Microsoft, it is another channel to steer large enterprise workloads onto Azure and its Copilot family of AI products.

Key questions for investors and customers include how quickly the companies add the promised frameworks for manufacturing, energy and the public sector, whether more named clients sign on beyond SEI, and whether either company begins to break out results tied to the platform in future earnings reports. Neither IBM nor Microsoft gave a timeline for those additional industries.