Victor DantasFollow


Architecture framework reviews (AFRs) are valuable tools offered by cloud infrastructure providers to enable customers to validate their implementation against a set of curated architectural best practices. AFRs are currently offered via self-service questionnaires, which tend to be inflexible, or via reviews by human experts, which, although guided, are less accessible and more expensive. This disclosure describes a conversational artificial intelligence (AI) interface (chatbot) that enables dialog-based architecture framework reviews and alignment assessment. The described automated self-service tool has natural language capabilities that enable dialog-based interactions and guidance, and draws from a pool of static questions to pose architectural framework review questions (AFRQ). The user provides answers in a natural language, unstructured format. The answers are interpreted by AI using natural language understanding (NLU) and are mapped to a level of alignment or maturity. Since NLU is used, an exact text match or static logical mapping are not required.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.