3 de julio de 2026 · [[El Abismo de Máquina/Ecos|¿qué es un eco?]] # Eco: Microsoft Frontier Company - la ingeniería de IA que amplifica y protege tu inteligencia > [!entradilla] > Microsoft crea Frontier Company: 2.500 millones y 6.000 ingenieros en casa del cliente. El modelo FDE que inventó Palantir, a escala Microsoft. ![](./attachments/Eco-Microsoft-Frontier-Company.webp) > [!tip]+ De qué va esto > > Judson Althoff, el CEO del negocio comercial de Microsoft, anuncia Microsoft Frontier Company: una empresa operativa nueva, con 2.500 millones de dólares de inversión y 6.000 ingenieros y expertos de industria trabajando dentro de las empresas cliente, dirigida por Rodrigo Kede Lima. Es la continuación operativa de la propuesta **Inteligencia + Confianza** que Althoff publicaba en junio y que os la traje como Eco. > > Esto es una evolución del modelo FDE, Forward Deployed Engineering. El modelo lo inventó Palantir hace más de una década: en vez de vender licencias y desear suerte, se ponen *ingenieros desplegados en casa del cliente*, trabajando sobre sus datos y procesos reales hasta que el sistema funciona y da resultados medibles. En el último año se ha convertido en la jugada de todo el sector: OpenAI y Anthropic han montado sus propias empresas de despliegue, AWS anunció 1.000 millones para lo mismo hace dos días, y Accenture ya tiene una práctica de FDE sobre Microsoft. Ahora Microsoft la convierte en la apuesta más grande de todas. > > La lectura de fondo: esto pone de manifiesto, con miles de millones, que el problema de la IA en la empresa no es el modelo sino el despliegue, y que eso pide gente dentro. > > Y el segundo mensaje del anuncio es bastante relevante también: la promesa de que el IQ del cliente (sus datos, su IP, su ventaja) no se usa para entrenar modelos que lo comoditicen. Esta es la propuesta base de ecosistema y plataforma de Satya Nadella convertida en compromiso y estretegia comercial. > > El anuncio original: [Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence](https://blogs.microsoft.com/blog/2026/07/02/microsoft-frontier-company-ai-engineering-that-amplifies-and-protects-your-intelligence/) > [!abstract]- Resumen esquemático > > #### El anuncio > > - Microsoft Frontier Company: empresa operativa nueva para la "Frontier Transformation" de los clientes. Inversión de 2.500 millones de dólares y 6.000 expertos de industria e ingeniería embebidos en clientes para co-diseñar, co-innovar, desplegar y mejorar continuamente sistemas de IA, con resultados de negocio medibles como criterio. > - Se presenta como un paso más allá de lo que se ha etiquetado como FDE (Forward Deployed Engineering) y aspira a ser la mayor organización de ingeniería orientada a resultados del sector. > - Presidente: Rodrigo Kede Lima. 30 años de industria, los últimos seis en Microsoft liderando transformaciones como responsable de ventas en Américas y Asia. > > #### La propuesta de **Inteligencia + Confianza** > > - Plataforma de inteligencia: el IQ propio de la empresa (datos propietarios, experiencia, flujos de trabajo, procesos de decisión) debe componerse y crecer desde dentro, con los modelos que el cliente elija. > - Plataforma de confianza: observar, gobernar, gestionar y asegurar las soluciones de IA en todas las capas del stack tecnológico, con FinOps para medir el retorno. > - El papel de la ingeniería: construir el bucle continuo de mejora entre las dos plataformas, afinando procesos de negocio agénticos para que la inteligencia del cliente se acumule con el tiempo y produzca resultados reales. > > #### Casos y escala > > - LSEG (London Stock Exchange Group): IA embebida en LSEG Workspace para que los profesionales financieros hagan preguntas complejas sobre contenido financiero estructurado y no estructurado; la base se refina de forma iterativa con feedback de cliente y pruebas de usuario en tiempo real. Citados también Land O'Lakes, Unilever y Novo Nordisk. > - La escala llega por el ecosistema de partners: acuerdos de FDE con Accenture, Capgemini, EY, KPMG, PwC y otros integradores globales. > > #### El principio innegociable > > - El IQ del cliente queda protegido: ni sus datos, ni su IP, ni su ventaja competitiva se usan para entrenar modelos que comoditicen lo que le diferencia en su industria. > - Cita la tesis de Nadella: no hay permiso social para un futuro de IA que se coma la inteligencia de las empresas donde se despliega. > - La protección se apoya en una plataforma abierta y heterogénea en modelos: el adecuado para cada escenario (OpenAI, Anthropic, Microsoft AI, open source o un modelo especializado de industria) sin ceder el control a ninguno. # Contenido original: Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence Fuente: [Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence](https://blogs.microsoft.com/blog/2026/07/02/microsoft-frontier-company-ai-engineering-that-amplifies-and-protects-your-intelligence/) 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. 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. 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. I recently wrote more about my conviction that [Intelligence + Trust](https://blogs.microsoft.com/blog/2026/06/16/achieving-success-with-ai/) are the two most important components of any AI solution and how our customers can use different levers to manage cost. Companies need to establish an intelligence platform so their unique IQ — their proprietary data, expertise, workflows and decision-making processes — compounds over time from within, using their choice of models to build AI solutions and workflows. They need a trusted platform that allows them to observe, govern, manage and secure AI solutions across every layer of the technology stack, using FinOps to assess their ROI. Enterprise AI engineering expertise with deep industry knowledge is required to build a system that acts as a continuous loop of improvement between the two platforms to fine tune agentic business processes, ensuring that a customer’s intelligence compounds over time and delivers real business outcomes. This is what Microsoft Frontier Company was built to do: focus on end-to-end Frontier Transformation, enabling customers to amplify their IQ with AI while refining their differentiated value in the markets that they serve. Early results demonstrate meaningful impact: Our engineers and industry experts partnered with **LSEG** (London Stock Exchange Group) to embed AI into LSEG Workspace, helping finance professionals ask complex questions and get quick answers across structured and unstructured financial content. The solution is underpinned by a foundation that is iteratively refined through client feedback and real-time user testing that accelerates each cycle and steadily improves model quality and scope. From LSEG to **[Land O’Lakes](https://www.youtube.com/watch?v=ynxh3ujRIKk)** to **[Unilever](https://www.youtube.com/watch?v=HwTaw7GP71s)** to **[Novo Nordisk](https://www.microsoft.com/en/customers/story/26569-novo-nordisk-as-azure?msockid=362df6db2bfa66630140e3382ad7678e)**, our differentiated approach is already delivering measurable outcomes on our customers’ Frontier Transformation journeys. To achieve scale, we will work closely with our partner ecosystem to extend this unique value to our customers across all markets and segments globally. We have robust FDE partnerships with our Global SI partners, including **[Accenture](https://newsroom.accenture.com/news/2026/accenture-launches-microsoft-forward-deployed-engineering-practice-to-help-organizations-scale-ai-across-the-enterprise)**, **Capgemini**, **[EY](https://www.ey.com/en_gl/newsroom/2026/05/ey-and-microsoft-announce-global-initiative-to-help-clients-scale-ai-enterprise-wide-value-creation-and-move-beyond-experimentation)**, **KPMG**, **PwC** and others. Central to this approach is a principle that is non-negotiable: a customer’s IQ is protected. Their data, their IP, their competitive advantage — none of it is used to train models in ways that commoditize what differentiates them in their industry. Satya [put it clearly](https://snscratchpad.com/posts/frontier-ecosystem/) recently: there is no societal permission for an AI future that eats the intelligence of the companies it’s deployed inside. We built Microsoft Frontier Company to make sure that does not happen. We protect that intelligence with a model-diverse, open, heterogeneous AI platform. Customers shouldn’t be locked into a single model any more than they should be locked into a single technology vendor. Microsoft’s platform gives organizations the flexibility to run the right model for each scenario — whether it comes from OpenAI, Anthropic, Microsoft AI, open source or a specialized model tuned for a specific industry — without ceding control to any one of them. To lead this new organization, I have asked [Rodrigo Kede Lima](https://www.linkedin.com/in/rodrigo-kede-lima-51941129/) to be the President of Microsoft Frontier Company. Rodrigo brings 30 years of industry experience, and for the past six at Microsoft has led enterprise-wide transformations as a sales leader in the Americas and Asia. He has been at the forefront of helping customers and partners translate technology shifts into business outcomes, and understanding how platform innovation, engineering and partner ecosystem collaboration come together to drive growth. I am excited about all the things that Microsoft Frontier Company will do for our customers to realize the gains of Frontier Transformation. 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. Learn more at [www.microsoft.com/en-us/frontier-company](https://www.microsoft.com/en-us/frontier-company). *Judson Althoff is the chief executive officer of Microsoft Commercial Business. He is responsible for the product strategy, sales, services, support, marketing, operations and revenue growth of the company’s commercial business, which operates in more than 120 regional and national subsidiaries globally.* ## Bonus > [!tip]+ Dentro de la web > - [[El Abismo de Máquina/Ecos/2026.06/Eco-Achieving-Success-AI|Eco: Inteligencia + Confianza, la tesis de Microsoft para acertar con la IA]] - La tesis que Frontier Company convierte en organización; la traje como Eco cuando era solo un artículo de Althoff. > - [[El Abismo de Máquina/Ecos/2026.06/Eco-Frontier-Without-Ecosystem|Eco: Artículo imprescindible de Satya Nadella - una frontera sin ecosistema no es estable]] - De aquí sale el 'no hay permiso social para una IA que se coma la inteligencia de las empresas' que cita Althoff. > [!tip]+ Para profundizar en Internet > - [Reflections on Palantir](https://nabeelqu.co/reflections-on-palantir) · Nabeel Qureshi - El modelo FDE contado desde dentro por quien lo vivió ocho años en Palantir; lo mejor que he leído para entender de dónde viene todo esto. > - [What are Forward Deployed Engineers, and why are they so in demand?](https://newsletter.pragmaticengineer.com/p/forward-deployed-engineers) · Gergely Orosz, The Pragmatic Engineer - Qué es exactamente un FDE, su origen en Palantir y cómo lo montan OpenAI o Ramp; la primera mitad se lee sin suscripción. > - [AI Giants Bet Billions On The Most Expensive Job In Enterprise](https://www.forbes.com/sites/janakirammsv/2026/05/28/ai-giants-bet-billions-on-the-most-expensive-job-in-enterprise/) · Janakiram MSV, Forbes - La ola completa: OpenAI, Anthropic y Meta poniendo miles de millones en FDE y chocando con las consultoras; el contexto en el que Microsoft mueve ficha. --- Publicado el 3 de julio de 2026, [LinkedIn](https://www.linkedin.com/posts/davidhurtadotoran_microsoft-frontier-company-la-ingenier%C3%ADa-share-7478729719161724929-w0eE/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAT5UsBH3ISG9LTxrgEnB7glCf9CerKWno), [Substack](https://substack.com/profile/293864668-david-hurtado/note/c-287280711?r=4uyjfg&utm_source=notes-share-action&utm_medium=web), [X](https://x.com/dhtoran/status/2072964433907687652?s=20)