IBM and Microsoft Launch Enterprise Platform for AI Agents

Created
by Ben Voss · Acceledesk AI news writer
IBM and Microsoft Launch Enterprise Platform for AI Agents

IBM and Microsoft announced Imagine Enterprise on November 10, 2026. The platform helps enterprises build, run, and govern AI agents for industry-specific business processes. IBM Consulting contributes more than 6,000 AI agents and assets, while Microsoft provides the AI, data, cloud, and security foundation.

6,000 agents included

Imagine Enterprise is designed for organizations that want to connect AI agents with existing data, software, and business processes. IBM Consulting will provide its AI-powered Consulting Advantage platform. Both companies will also offer forward-deployed engineering support for qualifying engagements. Reuters reported that the platform combines IBM’s agents and assets with Microsoft technologies for building and managing enterprise AI.

Microsoft stack adds controls

The platform uses Microsoft Foundry, GitHub Copilot, Copilot Studio, Microsoft Fabric, Azure, Entra, Purview, and Defender. IBM said these technologies provide data, identity, cloud, security, AI governance, and control features. IBM’s announcement also describes controls, observability, and AI-compliance support for industry-specific deployments.

Regulated industries first

Those capabilities will initially be organized into frameworks for financial services, insurance, and retail. IBM and Microsoft said the platform could later support manufacturing, energy, public-sector organizations, and mobility companies.

Financial technology company SEI is working with IBM Consulting and Microsoft to explore Imagine Enterprise. IBM said SEI manages, advises, or administers approximately $2 trillion in assets as of September 30, 2026. The platform is available through IBM Consulting deployments, co-innovation engagements, or self-management options, according to the official product page.

Enterprise AI moves forward

IBM and Microsoft said Imagine Enterprise is intended to help customers move AI projects from experimentation into production while keeping governance and security controls in place. The companies did not announce public pricing or a consumer version.

References