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Microsoft Cites Customer Results as It Pushes Platform Approach to AI

October 27, 2026, 17:01Source: Microsoft
Microsoft Cites Customer Results as It Pushes Platform Approach to AI
Image: Microsoft

Microsoft says its platform approach to Frontier Transformation rests on three products: Copilot, the Microsoft IQ platform and Agent 365. In a blog post, the company backed the pitch with customer results from Volkswagen, Fujitsu, BNY, Docusign and others.

Key points
  • Microsoft's platform approach rests on Copilot, the Microsoft IQ platform and Agent 365.
  • Volkswagen has scaled Copilot to more than 330,000 employees, and Fujitsu to about 100,000.
  • Krafton says security alert recognition time fell by approximately 95% to under one minute.
  • BNY reports client transaction inquiries resolved 80% faster on its Eliza platform.
  • Docusign reports up to eightfold greater throughput and 90% lower AI processing costs using Foundry.

Three traits, three products

Microsoft first introduced Frontier Transformation at Ignite last year. According to the company, it differs from a technology-led pursuit because it puts business outcomes first. Microsoft says it has since steered customers toward three durable traits: human ambition, intelligence and trust.

Each trait maps to a product. Copilot is described as the place to call home for interacting with AI to empower human ambition. The Microsoft IQ platform is meant to compound and amplify an organization's intelligence while protecting its unique differentiation. Agent 365 is positioned to enable trust and observability at every layer of the stack, so companies can govern, manage and secure what they build and get business value from it.

Copilot deployments across industries

Most of the customer examples concern Copilot. According to Microsoft, Volkswagen has scaled Microsoft Copilot to more than 330,000 employees, building on Copilot Chat adoption that reached more than 300,000 monthly active users. Employees now use Copilot with Work IQ for more advanced scenarios. Volkswagen is also scaling its Intelligent Data Foundation on Microsoft Fabric.

Fujitsu is rolling Copilot out across a global workforce of approximately 100,000, with usage above 90%. AI agents are automating roughly 75% of initial responses and triage for a service desk that receives nearly 300,000 inquiries annually.

  • KOHLER: using GitHub Copilot, one organization improved code releases by 25% and reduced error defects by 75%. Company-wide Copilot adoption is at 98%, saving an average of 2 to 5 hours per month, and employees have created more than 3,000 agents.
  • Krafton: with Microsoft Security Copilot and Microsoft Defender XDR, security alert recognition time fell by approximately 95% to less than one minute. Investigations that took tens of minutes now take about three, and roughly 95% of report creation is automated.
  • Williams: AI adoption at the US natural gas company grew from single digits to more than 90% after deploying Copilot.
  • Bristol Myers Squibb: Copilot reached 25,000 employees with 96% adoption, and agents such as RABIT analyze meeting transcripts and surface action items.
  • NASA: employees use Copilot to sift through academic literature, and a Hydrology Copilot analyzes variables like precipitation and soil moisture.
  • Brown University Health: an early Dragon Copilot pilot across 420 clinicians found users spent less time on after-hours documentation and reported lower cognitive burden. The health system later created more than 24 AI agents with Copilot Studio.

Microsoft IQ: BNY and Docusign

Two examples illustrate the Microsoft IQ pillar. BNY built an in-house AI platform called Eliza with Microsoft Azure, Microsoft Foundry, Microsoft Copilot and GitHub Copilot, with plans to add Work IQ. More than 300 solutions run on Eliza, and 100% of employees have been trained on it. According to Microsoft, client transaction inquiries are resolved 80% faster and AI-assisted client onboarding is 20% faster on average. Through the Microsoft CEO Co-Innovation program, BNY also developed an AI research capability with Foundry that investigates complex data issues and recommends next steps.

Docusign built an Intelligent Agreement Management platform on Azure and used Microsoft Foundry to move from general-purpose models to a system of task-specific models. The company says this lets it process more than a million agreement documents daily with up to eightfold greater throughput and 90% lower AI processing costs. Foundry also supports a model lifecycle in which processes are fine-tuned before deployment and monitored in production, with the governance and traceability enterprises require.

What it means for customers

The post is a company-curated set of case studies, and the figures are Microsoft's own accounts of customer results. They show how Microsoft frames its AI offering: not as separate tools, but as a stack where Copilot handles everyday interaction, Microsoft IQ draws on an organization's own data and context, and Agent 365 covers governance. For enterprise buyers, the examples point to the scale of deployments Microsoft is promoting, from tens of thousands to more than 330,000 employees, and to a growing role for custom agents built by employees themselves.

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