Our seventh AI reference architecture (on the Azure Architecture Center) is written by AzureCATs Abhinav Mithal and Robert Alexander, and published by Mike Wasson.
Reference architectures provide a consistent approach and best practices for a given solution. Each architecture includes recommended practices, along with considerations for scalability, availability, manageability, security, and more. The full array of reference architectures is available on the Azure Architecture Center.
This reference architecture describes how to build an enterprise-grade conversational bot (chatbot) using the Azure Bot Framework. Each bot is different, but there are some common patterns, workflows, and technologies to be aware of. For a bot to serve enterprise workloads, there are many design considerations to ponder beyond the core functionality. This article covers the most essential design aspects, and introduces the tools needed to build a robust, secure, and actively learning bot.
This reference architecture uses a significant number of Azure services. Your own bot may not use all of these services, or may incorporate additional services. Check out the article for additional detail on the services.
Bot logic and user experience
Bot cognition and intelligence
Data ingestion
Logging and monitoring
Security and governance
Quality assurance and enhancements
Topics covered include:
Head over to the Azure Architecture Center to learn more about the Enterprise-grade conversational bot reference architecture.
Additional related AI reference architectures:
Find all our reference architectures here.
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