IBM (NYSE: IBM) and Microsoft (NASDAQ: MSFT) announced on Tuesday the launch of Imagine Enterprise, an agentic AI platform designed to help companies build and govern AI systems internally. The offering draws on a library of more than 6,000 pre-built AI agents, supplemented by engineers from both technology giants who can be deployed into client organizations. The companies detailed the platform in a post on IBM's newsroom and a joint press release.

What Imagine Enterprise provides

The platform is pitched at regulated industries looking to compress the distance between AI pilots and full production. It runs on technology from both partners: the agent library is supplied by IBM Consulting, with IBM Consulting Advantage serving as the delivery platform, while Microsoft Foundry, GitHub Copilot, Copilot Studio, Fabric and Azure operate in the background. Microsoft Entra, Purview and Defender handle identity, governance and security, and engineers from both companies are available for deployment on qualifying engagements. For buyers, the setup bundles agent building, delivery and oversight into a single arrangement rather than a patchwork of separate vendors.

The platform already ships with templates for financial services, insurance and retail clients, with offerings for the public sector, manufacturing, energy and mobility to follow at a later date, according to reports.

SEI, the Nasdaq-listed asset manager overseeing roughly $2 trillion as of September 30, 2026, is among the early firms testing the platform — placing a large, regulated financial player inside one of the launch verticals.

Mohamad Ali, senior vice president and head of IBM Consulting, described a shift in client expectations, saying customers now "want to build an agentic business," moving beyond a period when they looked for "AI that simply helps people do the same work a little faster."

The forward-deployed engineering playbook

Imagine Enterprise follows what has become the dominant model for selling enterprise-grade AI in 2026: sending a vendor's own technical staff to work inside customers' stacks rather than simply selling software — an approach popularized by Palantir. In practice, that means vendor engineers embed with client teams to tailor agents to industry data and workflows, instead of shipping a product and stepping back.

OpenAI and Anthropic have each adopted the strategy this year, backed by about $4 billion and $1.5 billion respectively. An Amazon Web Services unit received a billion-dollar pledge, while Microsoft's Frontier Company launched in July with $2.5 billion and roughly 6,000 industry and engineering experts on staff.

The appeal rests on the scarcity of qualified talent. As reported by TechCrunch, citing the executive search firm Christian & Timbers, only about 2,000 U.S. engineers combine the sector knowledge and applied AI skills needed to reliably deliver returns.

Rodrigo Kede Lima, who leads Microsoft Frontier Company after spending more than two decades at IBM until 2020, argued that "organizations that can turn their data, industry expertise, and AI into action" will win the enterprise AI race. Around Frontier's July launch, reports indicated Microsoft had assembled a lineup of potential delivery partners including Accenture, Capgemini, EY, KPMG and PwC. The Frontier Company has positioned itself as model-diverse, running systems from OpenAI, Anthropic, Microsoft and open-source projects.

Governance as the selling point

The pitch leans heavily on control — a priority for banks, insurers and other heavily regulated buyers. Most chief information officers have yet to redesign their organizations for an agent-era workforce: Gartner found that only 4% have implemented plans to adjust roles for a mixed human-agent workforce.

IBM CEO Arvind Krishna framed that gap on the company's third-quarter 2026 earnings call in October. "Organizations are recognizing that AI is only as effective as the system around it," he told investors, pointing to the data, workflows and infrastructure surrounding a model rather than the model itself. That framing is the pitch in miniature: the partners are selling the surrounding system — engineers included — rather than a standalone model.

Imagine Enterprise is available through IBM Consulting delivery, co-innovation engagements or self-management. What to track from here: the arrival of the promised public-sector, manufacturing, energy and mobility templates, and whether early testers such as SEI broaden their usage beyond initial testing.