AI-500 case studies
AI-500 · Put your knowledge to work in context.
Exam AI-500: Designing and Implementing Multi-Agent AI Solutions is a Microsoft certification exam for expert-level practitioners who design, build, and optimize scalable, production-ready multi-agent AI systems and workflows, managing development from design through production. Candidates work closely with developers, machine learning engineers, platform engineers, data scientists, and business stakeholders to translate complex requirements into production-ready solutions. The AI-500 case studies are 5 cases and about 2,862 words.
1Conflicting Inventory Answers Across Three Specialists
A retail operations team is building an assistant that answers questions about stock levels. The architect proposes three specialists: an Inventory agent querying a warehouse API, a Pricing agent querying a catalog service, and a Fulfillment agent calling a shipping-rate API.
551 words, about 3 min2Parallel Agents Blowing the Token Budget
A financial-analysis multi-agent system runs on Azure AI Foundry. A supervisor agent delegates to four research agents (filings, news, analyst notes, market data), each of which can call tools and delegate further.
559 words, about 3 min3Evaluation Suite That Passes While Users Complain
A customer-support multi-agent system has an offline eval suite of 120 cases that all pass at 96% task success. In production, the escalation rate to humans has climbed from 8% to 27% over six weeks, and CSAT on multi-issue tickets has dropped.
565 words, about 3 min4Tool-Calling Agent With Over-Broad Credentials
A multi-agent procurement assistant runs in Azure. The orchestrator delegates to a Vendor agent that can read vendor records and a Payments agent that can initiate payments up to $50,000.
584 words, about 3 min5Canary Deployment of a Changed Orchestrator
A multi-agent research assistant has been stable for months. The team is deploying a new orchestrator prompt that improves synthesis quality but changes how sub-tasks are delegated, plus an upgraded model for one specialist.
603 words, about 3 min