Microsoft Events hosts this Ignite 2025 breakout, led by Marco Casalaina and other Azure AI experts, detailing strategies and technical features to maximize ROI with Microsoft Foundry for scalable, compliant AI solutions.

AI Playbook for ROI with Microsoft Foundry | Microsoft Ignite 2025

Speakers: Marco Casalaina, Mike Gozzo, Nikhil Kumar, Rakhee Langer, Sethu Raman, Ian Wells
Session: BRK187 | Intermediate (200)

This session provides actionable guidance on leveraging Microsoft Foundry and Azure AI for robust ROI and enterprise AI adoption. Learn practical strategies for defining, measuring, and maximizing business impact using Foundry Models, supported by real metrics and customer use cases.

Key Topics Covered

• Model Router Functionality: Streamlines AI model selection and maximizes operational benefits.
• Pricing Models & Integration: Updated details on gated previews and integration with Azure’s standard offerings.
• Prompt Caching: Reduces latency and token costs for more efficient AI interactions.
• Priority Processing: Introducing the new hybrid model that combines PTU (Prepaid Token Units) and pay-as-you-go, optimizing for scalability and cost efficiency.
• Cost Reduction & Capacity Planning: Achieve up to 50% cost reduction and improved resource planning.
• ADA (Automated Customer Service): Demonstrates scale for automated support using Azure AI Foundry.
• Multi-Agent Architecture: Delivers compliant, accurate customer service by orchestrating multiple agents for response generation.
• Real Impact Case Studies: Explains ROI examples such as improving efficiency for medical professionals, showing tangible business results.
• Governance and Compliance: Outlines strategies for responsible AI adoption and corporate governance.
• Demo: Ian Wells provides a walkthrough on Foundry cost control and practical deployment tips.

Additional Resources

• Start Transforming with Business AI at Microsoft
• More Sessions On-Demand

Chapters

• Explanation of Model Router functionality and benefits
• Pricing, gated preview, and integration
• Prompt caching feature to reduce latency and costs
• Priority Processing: hybrid model details
• 50% cost reduction insights & capacity planning
• ADA overview and automation scale
• Multi-agent, compliant customer responses on Azure
• ROI examples including doctor efficiency
• Demo on Foundry cost control

Summary

This session arms technical leaders and teams with the tools and playbook needed to deploy Azure AI, maximize ROI, and uphold governance standards at scale.