Real-World AI in Action: Five Case Studies from Microsoft Build 2025

Microsoft Build 2025 is over for another year and it was an impressive showing. So much is moving at breakneck speed in the AI world: Copilot Studio and Azure AI Foundry got massive upgrades, while news around the Model Context Protocol (MCP) and Agent Web has everyone talking. But it wasn’t just platform announcements—there were plenty of business-focused case studies that demonstrate AI driving real value and delivering the ROI every CFO is demanding.

Here are my top five AI case studies from Build, and why they matter:

AI Meets the NFL Combine Satya Nadella shows how teams can turn raw athlete data into actionable scouting insights in seconds:

•   Massive data at speed – Ingest and normalize 40,000+ discrete performance metrics per athlete end-to-end.
•   Automated draft advice – A multi-agent pipeline surfaces pick recommendations with confidence scores, shrinking report time from hours to minutes.
•   Live dashboards – Power BI visuals update injury-risk indicators and trend analyses in real time. Watch here.

Nasdaq Capital’s Governance Agents See how Azure AI Foundry powers specialised agents to streamline corporate governance:

•   Research agent processes and chunks data in the background, freeing up the orchestrator agent to summarise insights and manage real-time communication.
•   Autonomous tasks like highlighting risk insights during board meetings and preparing agendas without manual intervention.
•   Optimal model choice – The o3 reasoning model balances performance and reliability.
•   Responsible deployment – Maintain top-tier governance standards with Azure’s AI safety and compliance features.
•   Real impact – Clients report a 25 % reduction in corporate secretaries’ meeting-prep time, enabling focus on higher-value work. Watch here.

Carvana’s Agent-Powered CX Learn how Carvana uses AI to make every customer call smarter:

•   Sentiment sensing – Real-time flags for frustrated callers lift first-contact resolution by 12 %.
•   CRM automation – Agents invoke Dynamics 365 APIs to schedule test drives and send payment reminders—on-time appointments up 15 %.
•   Continuous learning – Monthly retraining loops from call transcripts steadily boost accuracy and deflection rates. Watch here.

DeepSee in Financial Services T&Pm’s DeepSee platform delivers vertical AI agents for banks, built on Azure AI Foundry:

•   Knowledge process automation – Agents read and verify policy and procedure documents, then embed insights directly into core workflows.
•   Risk reduction – A routing-number-off error risk dropped from eight-figure potential exposure to zero.
•   Efficiency gains – Tier 1 and community banks see 30–50 % improvements in automation tasks like trade settlement and loan book reconciliation.
•   Expertise infusion – DeepGPT agents bring domain knowledge into every automated process, scaling teams beyond manual limits. Watch here.

T&Pm’s Video Playground for Sora WPP’s creative arm shows how generative video scales with Azure AI Foundry:

•   Video Playground + Sora API – Custom content pipelines that feed brand guideline PDFs into Azure OpenAI to generate optimised prompts and batch-create videos.
•   Personalised storytelling – End-to-end workflows use user images, AI-generated prompts and the Sora API to produce comic-book-style animations on demand.
•   Responsible and scalable – A robust AI safety stack and comprehensive API ensure secure, high-throughput media production.
•   Productivity gains – Dramatically reduce manual production time and cost, unleashing creative teams to focus on design. Watch here.

The Bottom Line: These case studies prove that AI’s shift from proof-of-concept to production-grade reality is well underway. From governance and scouting to customer experience, financial services and creative media, agentic workflows are unlocking efficiency and ROI today. If you’d like to explore how similar solutions could transform your business, Olympic33 is the Microsoft Data & AI Solutions Partner you’ve been looking for. Get in touch and let’s chart your AI journey together. Which case study resonated most with you? Let me know in the comments.

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