Summary
You can now evaluate a Power Platform solution requirement and select, design, and justify the extensibility component that best fits it. This spans from the Power Apps and Dataverse layer through integration, automation, interface, and agent, out to monitoring and alerting. The equipment-provisioning solution threads that decision through every unit: intake and eligibility enforcement, depot system integration, approval orchestration, and the monitoring that keeps it all reliable.
What you learned
- You match a Power Apps component, generative pages, code components (PCF), or client scripting, to the request-intake experience. Then you enforce eligibility at the data layer with a PreValidation or PostOperation plug-in, and expose that logic as a reusable custom API.
- You wrap the external depot system in a custom connector, and expose Dataverse data to AI agents through an MCP server. You also choose inbound and outbound integration patterns, custom APIs, webhooks, and Azure Service Bus, for keeping the two systems in sync.
- You choose between a cloud flow and an agent flow for the approval-and-fulfillment process, and decide when a code app replaces a maker-built interface. You also design a custom agent that composes the MCP server, custom API, and flow, instead of reimplementing their logic.
- You layer Power Platform monitor alerts for environment-wide health signals with Azure Monitor Application Insights for tracing the exact cause of a failure inside the components you build.