Microsoft launches $2.5 billion AI deployment venture with 6,000 engineers to help enterprises

Microsoft launches its own AI deployment company with $2.5 billion commitment

On Thursday, Microsoft announced a new operating business called Microsoft Frontier company, focused on delivering successful enterprise AI deployments with Microsoft's existing AI tools. The project will be backed by a $2.5 billion investment from Microsoft, as well as 6,000 industry and engineering experts. In a statement announcing the venture, Microsoft's Commercial Business CEO Judson Althoff resisted the Forward Deployed Engineer (FDE) label that is often applied to these ventures. "This goes beyond what has been labeled as Forward-Deployed Engineering," Althoff wrote, "and will be the largest, most capable, outcome-driven engineering organization in the industry." Nonetheless, the venture bears a striking similarity to a number of FDE-based AI ventures announced in recent months. Just two days earlier, Amazon Web Services announced an internal commitment of $1 billlion for its own AI deployment venture, explicitly embracing the FDE model. Both OpenAI and Anthropic have launched joint ventures along similar lines, although those efforts also involve outside capital from private equity firms. Microsoft's existing client base will give the new effort a significant head start, as the company has already deployed engineers to much of the Fortune 500. The announcement cites an early partnership with the London Stock Exchange Group, as well as Unilever, Land O'Lakes, and Accenture.

Microsoft launches firm to help companies adopt AI with $2.5 billion

SAN FRANCISCO, July 2 (Reuters) - Microsoft (MSFT.O), opens new tab said on Thursday it is creating a new company that will help customers select AI technologies that work for their businesses and generate returns on their investment. Microsoft Frontier Company, as the new operating entity is called, will kick off with $2.5 billion in funding from the tech giant to work with clients such as Unilever and Novo Nordisk. Large corporations are relying less on renting out AI from a single provider, such as Anthropic or OpenAI, and are instead using a mix of technologies, including open-source models, tailoring them to their needs. This is a costly affair and stretches ⁠the time it takes to generate a return on their investment. Microsoft Frontier Company will offer customers help to select and integrate AI tools - from Microsoft and outside - with that customer's unique internal data. Critically, the customers will get to keep the results of that work rather than send it back to Microsoft. The Windows operating system maker joins the likes of Palantir Technologies (PLTR.O), opens new tab, which is already using Nvidia's open-source models for such work with large customers, and cloud rival Amazon Web Services (AMZN.O), opens new tab, which kicked off a $1 billion embedded-engineer unit of its own. Patrick Moorhead, CEO of analyst firm Moor Insights & Strategy, said ⁠large businesses suspect that using models from Anthropic and OpenAI will eventually grant these frontier labs expertise to compete with them, especially in fields such as coding and law. Microsoft partly owns ChatGPT-maker OpenAI and had added Anthropic's models to its Copilot AI assistant earlier this year, partly in response to booming enterprise demand for ⁠the AI lab's offerings. Judson Althoff, CEO of Microsoft Commercial Business, said the new firm was born partly out of Microsoft's own experience when models such as China's DeepSeek and Google's Gemini began to catch up to ⁠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." The combination of data and the models mattered more to the customer than any particular model, and they needed the flexibility to switch among AI models quickly, he said. Reporting by Stephen Nellis in San Francisco; Editing by Harikrishnan Nair Our Standards: The Thomson Reuters Trust Principles., opens new tab

Microsoft commits $2.5 billion and 6,000 employees to new AI implementation unit

Microsoft is investing $2.5 billion into a new group focused on assisting clients with AI implementations, becoming the latest tech company to commit hefty resources to helping businesses understand and adopt emerging artificial intelligence technologies. With the new venture, called Microsoft Frontier Co., the software vendor said Thursday that 6,000 employees will be embedded with clients, in a practice that's become known as forward deployed engineering. The division will contain existing Microsoft FDEs, technical consultants, support staffers and salespeople with experience in specific industries. Rodrigo Kede Lima, who's been leading Microsoft's Asia business, will be its president. The announcement comes two days after cloud rival Amazon said it was putting $1 billion behind an FDE initiative to support fast-paced AI engagements. Leading AI labs Anthropic and OpenAI both established FDE groups in May, partnering with private equity firms, banks and consulting firms. Alongside its technology peers, Microsoft has sunk tens of billions of dollars into building data centers that run generative AI models. Microsoft has also released a variety of AI services, with mixed results. The Microsoft 365 Copilot AI assistant has yet to gain anything approaching ubiquity in the business world, and the GitHub Copilot coding agent has ceded market share to newer players. Microsoft's stock has slumped 21% this year, by far the worst performance among the mega-cap tech companies. One concern on Wall Street is that AI models that quickly compose code might threaten mature software companies. Judson Althoff, CEO of Microsoft's commercial business, said the FDE effort stems from the realization that "customers are in very different places right now, and trying to really figure out AI." "Do they snap to one model from OpenAI or one model from Anthropic, or a family of models?" Althoff said in an interview. "Do they take it from a technology first mindset? How do they look at their existing business processes and operations?" Althoff credits data analytics software vendor Palantir with popularizing the FDE job title. The U.S. military, which keeps forward deployed forces abroad, has long relied on Palantir software, and the company sent FDEs to U.S. bases in Afghanistan, according to the prospectus for its 2020 direct listing. Earlier this year, Accenture and EY both touted plans to ally with Microsoft on AI-centric FDE programs. Relative to Palantir, Microsoft supports "more models, we support more connectors to data, more integrations with open systems of record," Althoff said. Microsoft has for years provided support and implementation services to customers. The company generated about $2.1 billion in revenue from enterprise and partner services in the March quarter, up 2.5% from a year earlier. Althoff said the company has had the most success when it takes a "very methodical approach towards working with customers to build out an intelligence platform" that protects their intellectual property and allows them to take advantage of "any model in the ecosystem."

Microsoft launches a $2.5 billion AI deployment business with 6,000 engineers

Microsoft committed $2.5B and 6,000 engineers to a new AI deployment business. AWS launched a $1B version days earlier. The FDE model is now industry-wide. Microsoft announced a new operating business called Microsoft Frontier company on Thursday, backed by a $2.5 billion investment and 6,000 industry and engineering experts. The venture is focused on delivering enterprise AI deployments using Microsoft's existing tools, with early partnerships including the London Stock Exchange Group, Unilever, Land O'Lakes, and Accenture. Commercial Business CEO Judson Althoff resisted the Forward Deployed Engineer label that has become standard for these ventures. "This goes beyond what has been labeled as Forward-Deployed Engineering," Althoff wrote, "and will be the largest, most capable, outcome-driven engineering organization in the industry." The launch comes two days after AWS committed $1 billion to its own AI deployment venture, explicitly embracing the FDE model. OpenAI and Anthropic have both launched similar joint ventures, though theirs involve outside capital from private equity firms. OpenAI's Deployment Company closed at $10 billion with TPG, Advent, Bain, and Brookfield. Anthropic's $1.5 billion venture with Blackstone, Hellman & Friedman, and Goldman Sachs targets private equity portfolio companies. Microsoft's existing client base gives it a structural advantage. The company has already deployed engineers to much of the Fortune 500. Every major AI vendor now has some version of the same model: sending engineers into customer organisations to make AI tools work in production, not just in demos. The race has shifted from selling AI software to proving it delivers measurable business outcomes, and the vendors are betting billions that they need boots on the ground to close the gap.

Microsoft unveils $2.5B 'Frontier Company' to embed AI engineers inside customers

Microsoft is launching a new AI "company." It won't be a separate legal entity, and most of its 6,000 people already work at Microsoft. But the $2.5 billion behind it is real, and the stakes are big, given how many of its AI partners and rivals are racing to do basically the same thing. The tech giant on Thursday announced "The Microsoft Frontier Company," which will embed engineers inside customers to build and run AI systems. It will be led by Rodrigo Kede Lima, a longtime Microsoft sales and enterprise leader, most recently president of Microsoft Asia. This practice is known in the industry as forward-deployed engineering, in which a company sends its own technical employees to work inside a customer's operations to design, build, deploy and operate AI systems on-site rather than selling a tool and walking away. The model was pioneered two decades ago by Palantir, but in recent months the approach has become the hot new thing in enterprise AI. Amazon committed $1 billion to its own forward-deployed engineering initiative just two days ago. (Some inside Microsoft suspect that its rival may have caught wind of what it was planning and moved to announce first.) Anthropic and OpenAI launched rival ventures in May to put engineers inside enterprise customers. Unlike Microsoft's initiative, the OpenAI Deployment Company, as the ChatGPT maker's venture is known, is an actual standalone entity -- majority-owned by OpenAI but backed by more than $4 billion from a partnership led by the private-equity firm TPG. Similarly, Anthropic teamed with Goldman Sachs, Blackstone and Hellman & Friedman on a $1.5 billion venture -- not yet named -- to embed engineers inside mid-sized companies, starting with the investment firms' own portfolio businesses. Microsoft is attempting to one-up them all. "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," wrote Judson Althoff, CEO of Microsoft's commercial business, in a post announcing the new initiative Thursday morning. Responding to questions from GeekWire, a Microsoft spokesperson called the new initiative "a purpose-built company with its own leadership and financial accountability" but stopped short of calling it a separate legal entity or standalone company. The spokesperson said the organization "brings together more than 6,000 industry, engineering and AI professionals, drawn primarily from Microsoft's existing engineering and forward-deployed teams," noting that it will "grow through a combination of internal talent and external hiring across engineering, AI, and industry roles." Separately, some consulting roles are among those expected to be impacted by the round of layoffs anticipated next week. Microsoft wouldn't say whether the $2.5 billion is new spending or repurposed from existing budgets, or over what period it's being spent. The company also hasn't yet spelled out what the new organization means for the future of its existing consulting and services units. Across the industry, this is happening now because the payoff from AI has proven harder to capture than many companies expected. Businesses across the economy have adopted tools like ChatGPT, Claude, Gemini and Copilot, only to find that impressive demos don't automatically translate into results. The technology is powerful, but deploying it can be difficult inside a real company, with its own data, rules and entrenched ways of working. So the AI providers have started sending their own engineers to work inside those companies and do it for them, figuring out where the AI can actually help, then building it into the daily work. "Having the model alone doesn't change your workflows or how you operate," said Marc Nachmann, Goldman Sachs' global head of asset and wealth management, in an interview with CNBC about the Anthropic partnership. "You need people who can combine the technology with what's actually happening in the business and implement those changes." The big AI providers have multiple reasons to do this. Each of them wants to get more businesses using its AI platform at higher volumes. All of them are looking to drive long-term demand for the AI capacity they're collectively spending hundreds of billions of dollars to build. Another big reason: AI models are becoming commodities, getting cheaper and more similar by the month. The big money for the likes of Microsoft is in selling the services needed to make AI pay off inside a company, which is a far bigger market than just selling the models themselves. Microsoft is pitching privacy and trust as a selling point. Its promise is that a customer's data and hard-won knowledge stay the customer's alone. Microsoft says it won't feed them into training its AI models in ways that would hand the same advantages to the customer's rivals. It's also promising choice: customers can run whichever AI model fits the job, from OpenAI, Anthropic, Microsoft, or open-source providers, not locked into using one. Microsoft CEO Satya Nadella has argued that a company should be able to exchange one AI model for another without losing all the institutional knowledge it has built up. That's his test, as he put it, for whether a business still controls its own future. "The last thing any of us want is a world where every company across every sector is ceding value to a few models that eat everything they see," Nadella wrote in a June 14 essay. "If all the value is accrued by only a few models, the political economy will simply not tolerate it. There is no societal permission for an AI future that hollows out entire industries." Whether that vision of swappable AI models becomes a reality remains to be seen. There's actually a risk for customers that the opposite will happen in the forward deployed engineering approach. Even if they can theoretically swap in a competitor's AI model, working with Microsoft's engineers means their systems naturally end up running on Microsoft's cloud platform and related technologies, making it very difficult to jump ship. It's also not clear how new all of this really is for the company. Microsoft already runs a large in-house delivery arm -- Industry Solutions Delivery, the group that absorbed what used to be called Microsoft Consulting Services -- with thousands of consultants and engineers building and deploying technology inside customer organizations. Microsoft also has programs like FastTrack to help customers roll out its software, and over the past year it has been rolling out "forward-deployed engineering" teams with partners, including a dedicated practice with Accenture and a $1 billion, five-year alliance with EY. So ultimately the Microsoft Frontier Company is less a new company than a new push behind work the actual company was already doing, albeit bigger and better-branded than before.

Microsoft's next big bet isn't on a model but on becoming the Swiss Army knife of enterprise AI | Fortune

The tech giant announced on Thursday that it is investing $2.5 billion in a new business unit, Microsoft Frontier, aimed at getting customers to better use its AI to transform their businesses and to address an area where many companies are struggling: delivering measurable outcomes and demonstrating a return on their AI investments. In a blog post, Judson Althoff, head of the company's commercial business, called Frontier "the largest, most capable, outcome-driven engineering organization in the industry." The unit will consist of 6,000 so-called forward-deployed engineers, or industry experts who will work directly with customers. Microsoft's announcement comes days after Amazon said it would spend $1 billion on a similar FDE initiative and also follows OpenAI and Anthropic's own multibillion-dollar FDE investments. Tech companies are keen to help enterprises figure out how to program AI services to fit their needs because of the amount of resources the tech firms are pouring into building out their AI products. In Microsoft's announcement, Althoff wrote that Microsoft's commitment goes beyond typical FDE programs because of the size and scope of the initiative. Microsoft said it recently partnered with the London Stock Exchange Group to aid its finance department with asking its AI complex questions and getting back answers across "structured and unstructured financial content." Microsoft's platform lets companies choose their preferred model for each use case -- from providers like OpenAI, Anthropic, or open‑source models, while avoiding dependence on any single one, according to Althoff. A customer's proprietary intelligence stays protected, he said: Their data, IP, and competitive edge are not used to train models in ways that would commoditize what sets them apart in their industry. The ambition for Frontier is to help enterprises build their own AI capabilities and to create an ecosystem where organizations can turn their knowledge, workflows, and expertise into AI systems that continuously improve, Microsoft Chief Executive Satya Nadella wrote in a LinkedIn post on Thursday. Microsoft and others have much riding on AI adoption. Microsoft is pushing for greater use of its Copilot AI product, which is far from becoming ubiquitous in the business world, and the company has spent billions building out data centers that host AI models and accomplish other critical computing services. Amazon, Google, and other tech companies have similarly spent a record amount on AI infrastructure, betting that customer demand will keep up while AI costs will get lower. For Microsoft, the push for greater adoption has come as its investors have become worried about Anthropic, OpenAI, and other AI competitors eating away at its more traditional software services. Microsoft shares are down about 20% in the past year. Palantir Technologies popularized the FDE assignments, with the U.S. government having long relied on the company's software. Shan Sinha, chief executive at the safety-focused wearable startup Canopy and a former Microsoft and Google employee, compared the current investment in FDE roles to the dot-com boom, when companies hired people to build websites for their customers. "Not only is it a good idea, but it's clearly a huge contributor to the kind of value that gets created by a company like Palantir," Sinha told Fortune. "We've got all this foundational technology, but we haven't yet mapped it to actually solving the problems for those customers that need to be solved." Microsoft's LSEG example is the kind of service many companies are seeking. Finance is an area increasingly focused on AI, while CFOs, who determine enterprise AI tech spending, are also being called upon to help deliver AI value in their organizations. Companies Microsoft has worked with, including Land O'Lakes, Unilever, and Novo Nordisk, are seeing measurable outcomes from their AI transformations -- results Microsoft plans to scale globally by working with systems integrators such as Accenture, Capgemini, EY, KPMG, and PwC, according to Althoff. This is the year many investors and enterprises are expecting to start to see true returns on their AI investments. In a July essay, Microsoft Chief Executive Satya Nadella wrote that the stakes of AI are not about new digital tools, but about how companies build intellectual property around models to create human-driven value -- where humans set goals, provide direction, and connect the dots. "This transition is different than any previous platform shift," Nadella wrote. "In the past, we used digital systems to enhance human capital. This is the first time we can create a real cognitive loop between people and digital systems. That is a mind-bender, because it changes how we even conceptualize work inside an enterprise."

Microsoft launches AI-focused professional services business with $2.5B investment

Microsoft launches AI-focused professional services business with $2.5B investment Microsoft Corp. has formed a new business that will help organizations build and manage artificial intelligence applications. The Microsoft Frontier Company, as the venture is called, launched today with an initial $2.5 billion investment from the tech giant. It's staffed by 6,000 "industry and engineering experts." The group is led by Microsoft Corp. executive Rodrigo Kede Lima, who was previously the president of Microsoft Asia. The Microsoft Frontier Company will speed up enterprise customers' AI projects by sending forward deployed engineers, or FDE, to their offices. The FDEs will help clients' in-house development teams build custom AI applications. They will use FinOps, a set of technology-focused financial analysis methods, to determine their projects' return on investment. The Microsoft Frontier Company's engineers will also help customers "continuously improve AI systems". Some software teams fine-tune their large language models on a regular basis to address changes in user request patterns. Without such adjustments, an LLM can experience a decrease in output quality. The Microsoft Frontier Company presumably plans to use the tech giant's own cloud services to power the AI software that it will build for customers. Azure includes a suite of services called Microsoft Foundry that can speed up AI development projects. It offers safety guardrails, model training tools and related building blocks. Microsoft Foundry also provides access to more than 11,000 hosted AI models. The library features both third-party algorithms from partners such as Anthropic PBC and internally-developed LLMs. The lineup includes MAI-Thinking-1, Microsoft's newly introduced flagship reasoning model. The company says that the LLM is competitive with Claude Opus 4.6 on the SWE-Bench Pro coding benchmark and uses significantly less hardware. The Microsoft Frontier Company will team up with other professional services providers to support international customers. The business' initial partner roster includes Accenture plc, Capgemini SE, EY and other major industry players. " 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," Judson Althoff, the Chief Executive Officer of Microsoft's commercial business, wrote in a blog post. The company's rivals are also enhancing their forward deployed engineering capabilities. On Tuesday, Amazon Web Services Inc. announced plans to invest $1 billion in a dedicated FDE organization that will help customers build AI agents. Google LLC's cloud business, in turn, recently launched an FDE recruiting initiate. Anthropic and OpenAI Group PBC have also formed FDE organizations this year, but they're taking a different approach from the major cloud providers. Both companies are partnering with external investors to bring their forward deployed engineering services to market. Anthropic reportedly raised $1.5 billion for its FDE venture while OpenAI has secured $4 billion from a SoftBank Group Corp.-backed consortium.

Microsoft launches AI deployment company with major funding

Microsoft announced the launch of a new operating business named Microsoft Frontier Company, which focuses on enterprise AI deployments utilizing existing AI tools from the company. The initiative will receive a $2.5 billion investment from Microsoft and will be supported by a team of 6,000 industry and engineering experts. Judson Althoff, Microsoft's Commercial Business CEO, stated that the new venture is distinct from the Forward-Deployed Engineer (FDE) model. "This goes beyond what has been labeled as Forward-Deployed Engineering," Althoff wrote. He claimed that the new initiative will be the largest, most capable, outcome-driven engineering organization in the industry. This venture shares similarities with various recent FDE-based AI initiatives. Just two days prior, Amazon Web Services announced a $1 billion commitment for its own AI deployment project using the FDE model. Additionally, both OpenAI and Anthropic have launched similar joint ventures that incorporate outside investments from private equity firms. Microsoft's established client base is expected to provide a competitive advantage for the Frontier Company initiative, as the company has already stationed engineers at many Fortune 500 firms. The announcement also detailed early partnerships with organizations such as the London Stock Exchange Group, Unilever, Land O'Lakes, and Accenture.

Just 2 Days After Amazon's AI Announcement, Microsoft Counters With Its Own $2.5 Billion Unit

Tech giant Microsoft is committing $2.5 billion to a new artificial intelligence implementation unit, which will employ 6,000 new people. The new unit, called Microsoft Frontier Co., is expected to focus on AI operations. The initiative's 6,000 employees, mostly made up of industry and engineering experts, will co-design, co-innovate, deploy, and continuously improve AI systems at scale based on measurable business outcomes. The division will include existing Microsoft Forward Deployed Engineers, technical consultants, and support staff, hoping to create the "largest, most capable, outcome-driven engineering organization in the industry." "The pace of AI adoption is moving incredibly fast. Customers have moved well beyond experimentation and understand the importance of adopting AI to transform their business. They are now concentrating on delivering measurable business outcomes and demonstrating a return on their AI investments, while ensuring their intelligence is amplified and their IP is protected," said Judson Althoff, the CEO of Microsoft Commercial Business, in a blog post. Why Microsoft is creating a new AI unit This year, Microsoft is projected to spend $190 billion in capital expenditures for AI. Such an amount is a significant jump for the tech company, which has increased its AI budget by 61 percent year-over-year.

ETtech Explainer: What is Microsoft's new Frontier Company?

According to Microsoft's announcement, Frontier Company will help enterprises build AI systems, integrate them with business data, applications, and workflows, and manage them after deployment. The teams will also work with customers to monitor, optimise, and update AI systems over time. Microsoft has announced Frontier Company, a business focused on helping enterprises design, deploy, and operate artificial intelligence (AI) systems. The initiative is backed by a $2.5 billion investment and will bring together around 6,000 engineers, researchers, and industry specialists to work with organisations on AI deployments. What will it do? According to Microsoft's announcement, Frontier Company will help enterprises build AI systems, integrate them with business data, applications, and workflows, and manage them after deployment. The teams will also work with customers to monitor, optimise, and update AI systems over time. The company said the initiative will support organisations in deploying AI solutions using multiple AI models based on business requirements. Customers will be able to choose different models for different use cases while retaining ownership of their data and AI systems. How will it work? According to Microsoft, the initiative is built around two objectives: helping organisations use AI to improve productivity and decision-making while maintaining enterprise data security and governance. Where does it fit in Microsoft's AI portfolio? The launch adds to Microsoft's enterprise AI offerings, including Azure AI services, GitHub Copilot, and Microsoft 365 Copilot. Frontier Company is designed to work with customers using Microsoft's technologies and partner ecosystem. Microsoft also stated that this is intended to support enterprises throughout the lifecycle of AI deployment, from system design and implementation to ongoing management and optimisation.

Microsoft Puts $2.5B Into New 'Frontier' Division To Accelerate Enterprise AI

'I am excited about all the things that Microsoft Frontier Company will do for our customers to realize the gains of Frontier Transformation,' Microsoft Commercial Business CEO Judson Althoff says. Microsoft has launched a new operating business with a $2.5 billion investment to go beyond the forward-deployed engineering trend other vendors have latched onto in recent months, promising that the new business "will work closely with our partner ecosystem to extend this unique value to our customers across all markets and segments globally." Leading the new business as president of Microsoft Frontier Co. is Rodrigo Kede Lima, previously president of Microsoft Asia. Microsoft Commercial Business CEO Judson Althoff said in a blog post Thursday that Microsoft system integrator partners including CRN Solution Provider 500 members Accenture and Capgemini -- plus consulting giants EY, KPMG and PwC -- represent robust existing FDE partnerships in the Redmond, Wash.-based tech giant's 500,000-plus-member partner ecosystem. "I am excited about all the things that Microsoft Frontier Company will do for our customers to realize the gains of Frontier Transformation," Althoff said in the post. "At the end of the day, it comes down to Intelligence + Trust and empowering our customers to achieve meaningful outcomes and a return on their investments." [RELATED: Microsoft's Althoff Brings His Sales, Channel Expertise To Newly Created Role] Microsoft Launches Frontier Co. With $2.5B Investment CRN has reached out to Microsoft for comment. But in an interview with CRN for its May cover story, Althoff stressed the competitive differentiator of Microsoft's ecosystem and how winning the AI race is through delivering a full stack of technology with managed services and customer support. "AI success really is not about the best model; it's not about the best silicon," Althoff said. "It is about intelligence and trust and unlocking that for our customers. And our partner ecosystem is really the only way we're going to actually get out there and achieve it. I view it actually as a competitive advantage for Microsoft to have the partner ecosystem that we have." Peter Doyle, CEO of San Francisco-based Microsoft solution provider Treeline, told CRN in a recent interview that the company has been leveraging AI and non-AI software for augmenting its engineers and technicians. Founded last year, Treeline seeks to balance operational efficiencies through born-in-AI innovation with human-led relationships to build a new kind of solution provider for the agentic era. The company has fielded customer work beyond simple AI adoption, leveraging it for back-office system efficiencies. "Software can maybe improve the experience to a degree -- we've got so much more context and understanding of the customer -- but that human relationship piece is never going away," Doyle said. How The Microsoft Frontier Co. Goes Beyond FDE Microsoft Frontier Co. functions as a new operating business focused on what the vendor calls "frontier transformation" through AI for customers. The business is focused on industry expertise, change management, enterprise-grade AI engineering and continuous improvement. The new business seeks to go beyond the FDE practice perhaps best associated with software provider Palantir through 6,000 industry and engineering experts embedded at customers to co-design, co-innovate, deploy and continuously improve AI systems at scale based on measurable business outcomes. The engineers will help customers establish intelligence platforms for observing, governing, managing and securing AI products and services across every layer of the technology stack and adopt financial operations (FinOps) practices for measuring returns. Althoff pledged in his online post that customer data and intellectual property (IP) are not "used to train models in ways that commoditize what differentiates them in their industry." The new business will also operate a model-diverse, open, heterogeneous AI platform to avoid lock-in with any one vendor. The business will leverage models from Microsoft itself, ChatGPT maker OpenAI, Claude maker Anthropic, open-source models, industry-specific specialized models and other options. The new business goes beyond traditional FDE practices through connecting model output to workflows and key performance indicators (KPIs) in a continuous loop that scales across the client and promises measurable results over time, according to Microsoft. The group will look at delivering AI benefits inside tools the client already uses. AWS, OpenAI, Anthropic, Salesforce Also Invest In FDE Other vendors have been launching their forward-deployed engineering (FDE) organizations lately in the name of improving customers' use of AI. Amazon Web Services, one of Microsoft's chief cloud rivals, revealed on Tuesday its own FDE unit backed by $1 billion. AWS positioned its FDE unit as embedding thousands of engineers directly with customers to co-develop and deploy agentic AI. The vendor also disclosed a new Partner-Led FDE Motion that brings strategic partners a durable, embedded delivery capability, according to the AWS post. Customers have the option of first-party AWS FDEs; a partner-augmented motion where partners embed engineers and domain experts into AWS FDE pods for additional context, specialized skills and to leverage customer relationships; and a fully partner-led FDE that deliver production systems with AWS engineers inside the partner team. "Partners already hold the customer relationships, the industry context, and the delivery footprint to operate at that scale," AWS said in the post. "What they have not had is a production-grade delivery methodology that compounds with every engagement." In partner-led FDE engagements, partners own the domain ontologies, evaluation frameworks, Model Context Protocol (MCP) servers, agent operations tooling and context graph that records the architecture choices, evaluation criteria and domain patterns for each build. Partners can leverage harnesses built from the initial engagement in subsecquent ones and keep the delivery IP and business outcome. Claude maker Anthropic, ChatGPT maker OpenAI and customer relationship management software giant Salesforce are among the vendors to announce their own dedicated FDE-minded services practices earlier this year. Anthropic's AI services company has a total financial commitment of $1.5 billion, with funds from outside backers. The vendor has reiterated its commitment to the Claude Partner Network under development for solution providers -- which counts the new company as a member. The OpenAI Deployment Co. is backed by a $4 billion-plus initial investment and counts among its investors Capgemini-No. 4 on CRN's 2025 Solution Provider 500-and fellow consulting and system integration giants Bain & Co. and McKinsey & Co. OpenAI has pledged that DeployCo will work alongside its Frontier Alliance partner ecosystem and the broader consulting industry for AI adoption and change management. In an interview with CRN in June, Colleen Kapase, vice president of global strategic partners and ecosystem for OpenAI, she said that the FDE program is available to its top-tier elite partners working on complex AI enterprise deployments. Salesforce executives told CRN earlier this year that its FDE Partner Network arms select solution providers with greater technical expertise, and the vendor has made more tools available that can help solution providers bring artificial intelligence agents to life for customers while also detailing a roadmap for more tools to come. As for Lima, the Microsoft executive leading its new business, he has been with the technology vendor for about six years, according to his LinkedIn account. He has served as Microsoft Asia president for about two years and was president of the Americas enterprise business for about a year before that. He spent more than 20 years with IBM, leaving in 2020 as general manager of IBM global integrated accounts.

Microsoft launches firm to help companies adopt AI with $2.5 billion

Microsoft has launched a new venture, Microsoft Frontier Company, backed by $2.5 billion, to guide businesses in selecting and integrating AI technologies. This move acknowledges that large corporations are increasingly opting for a mix of AI tools, including open-source options, rather than relying on a single provider. The company aims to help clients tailor AI to their unique data, ensuring they retain the benefits of their AI investments. Microsoft said on Thursday it is creating a new company that will help customers select AI technologies that work for their businesses and generate returns on their investment. Microsoft Frontier Company, as the new operating entity is called, will kick off with $2.5 billion in funding from the tech giant to work with clients such as Unilever and Novo Nordisk. Large corporations are relying ⁠less ⁠on renting out AI from a single provider, such as Anthropic or OpenAI, and are instead using a mix of technologies, including open-source models, tailoring them to their needs. This is a costly affair and stretches the time it takes to generate a return on their investment. Microsoft Frontier Company will offer customers help to select and integrate AI tools - from Microsoft and outside - with that customer's unique internal data. Critically, the customers will get ⁠to keep the results of that work rather than send it back to Microsoft. The Windows operating system maker joins the likes of Palantir Technologies, which is ⁠already using Nvidia's open-source models for such work with large customers, and cloud rival Amazon Web Services, which kicked off a $1 billion embedded-engineer unit of its own. Patrick Moorhead, CEO of analyst firm Moor Insights & Strategy, said large businesses suspect that using models from Anthropic and OpenAI will eventually grant these frontier labs expertise to compete with them, especially in fields such as coding and law. Microsoft partly owns ChatGPT-maker OpenAI and had added Anthropic's models to its Copilot AI assistant earlier this year, partly in response to booming enterprise demand for the AI lab's offerings. Judson Althoff, CEO of Microsoft Commercial Business, said the new firm was born partly out of ⁠Microsoft's own experience when models such as China's DeepSeek and Google's Gemini began to catch up to 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." The combination of data and the models mattered more to the customer than any particular model, and they needed the flexibility to switch among AI models quickly, he said.

Microsoft Launches 'Frontier Company' with $2.5 Billion Investment to Boost AI Adoption

As part of the initiative, Microsoft will deploy 6,000 AI engineers, industry specialists, and transformation experts to work directly with customers worldwide. Microsoft has announced the launch of Microsoft Frontier Company, a new AI-focused business backed by a $2.5 billion investment aimed at helping enterprises accelerate artificial intelligence adoption and achieve measurable business outcomes. The initiative marks one of Microsoft's largest enterprise AI commitments to date, reflecting the growing demand for AI transformation services as organizations move beyond pilot projects to large-scale deployments. As part of the initiative, Microsoft will deploy 6,000 AI engineers, industry specialists, and transformation experts to work directly with customers worldwide. These teams will help organizations design, implement, optimize, and continuously improve AI systems tailored to specific business needs, enabling companies to integrate AI into their core operations while maintaining control over proprietary data and intellectual property. Microsoft Frontier Company has been established to support this transition by combining industry expertise, enterprise AI engineering, change management, and continuous improvement capabilities. The company describes the model as an evolution beyond traditional engineering support, offering end-to-end AI transformation designed to generate measurable business value. Alongside intelligence, Microsoft is emphasizing trust as a foundational pillar of enterprise AI. The platform incorporates governance, security, observability, and financial management capabilities, enabling organizations to monitor AI performance, manage costs, and maintain compliance while protecting sensitive business information. The company reiterated that customer data and intellectual property will remain protected and will not be used to train AI models in ways that could compromise an organization's competitive advantage. Open AI Ecosystem and Model Flexibility Rather than limiting customers to a single AI model, Microsoft Frontier Company supports a model-agnostic approach that allows enterprises to choose the most suitable AI technologies for different business scenarios. Organizations will be able to deploy solutions powered by models from OpenAI, Anthropic, Microsoft AI, open-source communities, or industry-specific models through Microsoft's AI platform. This flexibility is intended to help enterprises avoid vendor lock-in while enabling them to optimize AI performance across diverse workloads and applications. The company also cited deployments with organizations including Land O'Lakes, Unilever, and Novo Nordisk, where AI solutions are being used to improve operational efficiency, decision-making, and business performance. Microsoft has appointed Rodrigo Kede Lima to lead the new organization. A Microsoft veteran with more than six years at the company and three decades of industry experience, Lima will oversee the expansion of Microsoft's enterprise AI transformation strategy worldwide. With enterprises increasingly prioritizing AI-driven modernization, Microsoft Frontier Company represents a significant strategic investment in helping organizations deploy trusted, scalable, and outcome-focused AI solutions at enterprise scale.

Microsoft Spends $2.5 Billion on Customer AI Deployments | PYMNTS.com

The Microsoft Frontier Company, announced Thursday (July 2), will also embed 6,000 industry and engineering experts with the tech giant's customers in what it calls a step above what is known as "forward deployed engineering" (FDE). "The pace of AI adoption is moving incredibly fast. Customers have moved well beyond experimentation and understand the importance of adopting AI to transform their business," Judson Althoff, CEO of Microsoft's commercial business, said in explaining the initiative. "They are now concentrating on delivering measurable business outcomes and demonstrating a return on their AI investments, while ensuring their intelligence is amplified and their IP is protected." The news comes on the heels of an announcement from Amazon's cloud division Amazon Web Services (AWS) earlier this week that it was investing $1 billion in an FDE initiative that will put thousands of engineers on-site with customers to develop AI solutions. This program is aimed at speeding the development of AI applications to a matter of days rather than months. "At the center is the AI-Driven Development Lifecycle, a new approach to software development that combines AI-powered execution with human oversight and dynamic team collaboration that builds intelligence for a customer's next project," the company said. AI labs OpenAI and Anthropic have also launched their own FDE groups, collaborating with private equity groups and banks to boost enterprise adoption. In an interview with CNBC, Althoff said the FDE effort is the result of the company's realization that "customers are in very different places right now, and trying to really figure out AI." "Do they snap to one model from OpenAI or one model from Anthropic, or a family of models?" Althoff said in the interview. "Do they take it from a technology first mindset? How do they look at their existing business processes and operations?" Meanwhile, recent PYMNTS Intelligence research has found that workers in the U.S. are getting little to no training on how to use AI on the job. The study, "Wage to Wallet™ Index - The Resilience Deficit: Labor Workers in an Automated Economy," found that 48% of American workers in educated professional and higher-paying roles, typically salaried, "go to work each day and confront AI tools they're not prepared to use effectively," as PYMNTS wrote in May. For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.

Microsoft Launches Its Own Ai Deployment Company with $2.5 Billion Commitment

Microsoft announced a new operating business called Microsoft Frontier Company, focused on delivering successful enterprise AI deployments with Microsoft's existing AI tools. The project will be backed by a $2.5 billion investment from Microsoft, as well as 6,000 industry and engineering experts. Nonetheless, the venture bears a striking similarity to a number of FDE-based AI ventures announced in recent months. Just two days earlier, Amazon Web Services announced an internal commitment of $1 billion for its own AI deployment venture, explicitly embracing the FDE model. Both OpenAI and Anthropic have launched joint ventures along similar lines, although those efforts also involve outside capital from private equity firms. Microsoft's existing client base will give the new effort a significant head start, as the company has already deployed engineers to much of the Fortune 500.

Microsoft launches firm to help companies adopt AI with $2.5 billion

SAN FRANCISCO, July 2 (Reuters) - Microsoft said on Thursday it is creating a new company that will help customers select AI technologies that work for their businesses and generate returns on their investment. Microsoft Frontier Company, as the new operating entity is called, will kick off with $2.5 billion in funding from the tech giant to work with clients such as Unilever and Novo Nordisk. Large corporations are relying less on renting out AI from a single provider, such as Anthropic or OpenAI, and are instead using a mix of technologies, including open-source models, tailoring them to their needs. This is a costly affair and stretches the time it takes to generate a return on their investment. Microsoft Frontier Company will offer customers help to select and integrate AI tools - from Microsoft and outside - with that customer's unique internal data. Critically, the customers will get to keep the results of that work rather than send it back to Microsoft. The Windows operating system maker joins the likes of Palantir Technologies, which is already using Nvidia's open-source models for such work with large customers, and cloud rival Amazon Web Services, which kicked off a $1 billion embedded-engineer unit of its own. Patrick Moorhead, CEO of analyst firm Moor Insights & Strategy, said large businesses suspect that using models from Anthropic and OpenAI will eventually grant these frontier labs expertise to compete with them, especially in fields such as coding and law. Microsoft partly owns ChatGPT-maker OpenAI and had added Anthropic's models to its Copilot AI assistant earlier this year, partly in response to booming enterprise demand for the AI lab's offerings. Judson Althoff, CEO of Microsoft Commercial Business, said the new firm was born partly out of Microsoft's own experience when models such as China's DeepSeek and Google's Gemini began to catch up to 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." The combination of data and the models mattered more to the customer than any particular model, and they needed the flexibility to switch among AI models quickly, he said. (Reporting by Stephen Nellis in San Francisco; Editing by Harikrishnan Nair)