Microsoft launches Frontier Company, a $2.5B AI consulting firm to help enterprises get better returns from AI

Microsoft is making a major shift in its enterprise AI strategy. The company is launching a new business with $2.5 billion in backing to help customers choose the best mix of AI models for their needs, whether those models come from Microsoft, OpenAI, Anthropic, Google, or the open source community.

The move reflects a growing reality inside large organizations. Companies no longer want to depend on a single AI provider. They want the freedom to combine different models, connect them with their own data, and see a clear return on the billions they are investing in AI.

The announcement comes just two days after Amazon unveiled a $1 billion AWS engineering unit that embeds AI experts within customer teams to accelerate enterprise adoption of agentic AI. Together, the two announcements point to a new battleground in enterprise AI, where success depends less on building the biggest model and more on helping customers deploy the right combination of technologies.

Inside Microsoft Frontier Company and the shift beyond single AI models

Microsoft said on Thursday that its new operating entity, called Microsoft Frontier Company, will begin with $2.5 billion in funding and work with customers including Unilever and Novo Nordisk.

“Today we are introducing Microsoft Frontier Company, a new operating business focused on delivering Frontier Transformation through AI for our customers around the world. It will provide a unique combination of skills inclusive of deep industry knowledge, change management and continuous improvement experience, and enterprise-grade AI engineering expertise,” Microsoft said in a blog post.

Microsoft added:

“This goes beyond what has been labeled as Forward Deployed Engineering (FDE) and will be the largest, most capable, outcome-driven engineering organization in the industry. We are making a $2.5B investment in Microsoft Frontier Company, embedding 6,000 industry and engineering experts at customers to co-design, co-innovate, deploy and continuously improve AI systems at scale based on measurable business outcomes.”

Rather than pushing customers to use Microsoft’s own AI stack, Frontier Company will help businesses evaluate, select, and integrate AI models from Microsoft and third parties into their internal systems. Customers will retain ownership of the work produced during those engagements instead of sending that knowledge back to Microsoft.

That approach marks a shift from the industry’s early AI race, when many enterprises aligned themselves with a single model provider such as OpenAI or Anthropic. Today, organizations are increasingly combining commercial and open source models, choosing different systems for coding, research, customer support, legal work, and other specialized tasks. That flexibility comes at an added cost and requires technical work, making it harder to deliver meaningful returns from AI investments.

From AI models to business outcomes: Microsoft’s new enterprise strategy

Microsoft is entering a market where companies such as Palantir Technologies have already built businesses around helping enterprises deploy multiple AI models. Palantir has worked with Nvidia’s open-source models on customer projects, and Amazon Web Services recently launched its own $1 billion embedded engineering organization to place AI specialists directly within customer teams.

Patrick Moorhead, CEO of analyst firm Moor Insights & Strategy, said many large companies worry that relying too heavily on frontier AI labs could strengthen future competitors, Reuters reported.

Businesses increasingly believe that sending sensitive workflows to providers such as Anthropic or OpenAI may give those companies insight into industries they could eventually compete in, particularly in areas like software development and legal services.

The strategy represents a notable evolution for Microsoft, which invested billions in OpenAI and built the first version of Copilot around OpenAI’s models. Earlier this year, Microsoft broadened that approach by adding Anthropic’s models to Copilot in response to strong enterprise demand.

Judson Althoff, CEO of Microsoft Commercial Business, said the company’s thinking changed after rival AI models quickly closed the performance gap with OpenAI.

“Three years ago, when we built Copilot, we made a mistake by binding it to OpenAI models only,” Althoff told Reuters. “You wanted models to amplify your intelligence and be able to have that sort of swappability for state-of-the-art and fine-tuning.”

Althoff said customers now place greater value on combining their proprietary data with whichever AI model performs best for a given task than on committing to a single provider. The ability to switch quickly between leading models has become a priority for enterprises trying to keep pace with a market where new capabilities arrive almost every month.

Microsoft’s latest move signals that the next phase of enterprise AI may be defined less by exclusive partnerships and more by openness, interoperability, and measurable business results. For many companies, the biggest question is no longer which AI model is best. It is about using the right models together without getting locked into any one of them.