By Paul Derrington, Jr.
CEO | Chief Engineer | Research Engineer | Editor, D-CSIL
3 min read
Key Takeaways
IBM and Microsoft launched Imagine Enterprise on November 10, pairing more than 6,000 prebuilt IBM agents and assets with Microsoft's cloud, data, and security stack to help enterprises run AI agents on real business processes. Financial services, insurance, and retail come first, with engineers from both companies on hand for qualifying customers. No pricing was disclosed — and the 6,000 figure counts agents plus other assets, not agents alone.
What is Imagine Enterprise?
IBM and Microsoft announced Imagine Enterprise on Tuesday, November 10, 2026 — a joint platform designed to help enterprises build, run, and govern AI agents that carry out industry-specific processes. IBM and Microsoft say that instead of starting from scratch, replacing the platforms they already depend on, or spending months assembling the pieces themselves, companies start with prebuilt agents and adapt them.
The platform is aimed especially at regulated industries. Its first industry frameworks cover financial services, insurance, and retail; IBM and Microsoft say those frameworks are designed to establish a repeatable blueprint for potential additional industries such as manufacturing, energy, the public sector, and mobility in the future.
What's actually in the box?
IBM Consulting brings more than 6,000 prebuilt AI agents and assets built on IBM Consulting Advantage, its AI-powered delivery platform — plus the experience of building and running them. PYMNTS notes: the 6,000 figure counts agents and other assets together, not 6,000 deployable agents alone. IBM's Process Studio, Context Studio, and Advantage Core help organizations design, deploy, and govern tailored agents.
Microsoft supplies the foundation the agents run on: Microsoft Foundry, GitHub Copilot, and Microsoft Copilot Studio coordinate agents and enterprise systems, while Microsoft Fabric, Microsoft 365 infrastructure, Microsoft Entra, Microsoft Purview, Microsoft Defender, and Microsoft Azure provide the data, identity, AI governance, security, and cloud underneath. For qualifying engagements, forward-deployed engineers from both companies can help customers move agents from experiment to production.
Why are enterprises still holding agents back?
PYMNTS Intelligence's November report, "The Agentic Edge Index: How Leading Companies Put AI to Work," finds agentic AI already in use at 89% of large U.S. enterprises — but 78% would restrict agents to read-only access to company directories, 18% would let them perform tasks with human approval, and only 2% would permit independent execution.
The same report found 51% of executives consider organizational barriers — staffing, business processes, and corporate culture — greater obstacles to AI adoption than the technology itself. PYMNTS reported in September that Microsoft has 450 million commercial Microsoft 365 seats, but fewer than 7% carry paid Copilot licenses.
Who is named at launch?
The launch's named example is SEI, a provider of financial technology, operations, and asset management services that manages, advises, or administers approximately $2 trillion in assets as of September 30, 2026. SEI is exploring emerging and agentic technologies with IBM Consulting, with Microsoft's support, to improve how it operates and the experiences it delivers to employees and clients.
"AI is evolving quickly, and our focus at SEI is on applying it with intention in ways that strengthen trust, enhance human decision-making, and create meaningful value across our business," said Sneha Shah, SEI's Chief AI Strategist and Head of SEI Next. IBM Consulting's Mohamad Ali, senior vice president and head of IBM Consulting, said: "Clients are no longer looking for AI that simply helps people do the same work a little faster. They want to build an agentic business."
What does it cost, and how is it sold?
Neither company disclosed pricing or a general-availability date. Imagine Enterprise is available by engaging IBM Consulting to deploy and operate the platform on a client's behalf, or by co-innovating with IBM Consulting on enterprise-scale implementations; self-management options are also available. IBM says the platform comes with forward-deployed engineering support for qualifying engagements.
What to watch is whether the financial-services, insurance, and retail frameworks produce named production deployments rather than pilots, and how quickly any manufacturing, energy, public-sector, and mobility frameworks appear.