The Dragon1 AI Chatbot was designed and created via the reference model below. Where in our company do we make use of chatbots ?Įxample template: When is % ABC ?Įxample template: Why should we/you/I/one % (a) %?.Where is personal data stored by application DEF ?.Where is standard ABC used in our organization ?.How many applications are there without having a support contract ?Įxample template: Where is/are % Įxample template: Where in/at % do % make use of % ?.How many activities are there in process XYZ ?.Who is responsible for software development in the company ABC ?Įxample template: How many % are there (without) having a %Įxample template: How much % do we / does our company Įxample template: How to a %.Who is the owner of business process Sales ?.Which projects are (not) resourced with the required skills ?.Which processes are (not) supported by integrated/monolithic/open/3-tier applications ?.Which solutions are (not) compliant with policy standards ?.Which applications are there in our company ?.Which standards are (not) used by solution ABC ?.Which services are provided by the application M圜RM ?.What is the difference between process ABC and process DEF ?Įxample template: Which % are by % ?.What is the name of the HR Manager of our organization ?.What is the name of the CEO of company IBM ?.What is the principle single source of truth ?.What is the solution ABC in our company ?.What QuestionsĮxample template: What is the relationship between % and % ?Įxample template: What % are (not) (most commonly) used by % ? Here follow a few examples of questions that can be answered by the Dragon1 bot: 1. Questions outside of this context can also be answered, but that would require external services of data sources that are focussed on a different context. So all questions are answered by the chatbot from within this context. ![]() You only know what you know! The Dragon1 Saas platform has the context of enterprise architecture (methods, languages, and your EA data). This is of great help to people who are for instance visually impaired. Speech to Textĭragon1 also supports speech-to-text, so you can ask a question to Dragon1 and the bot will answer you back in natural language. In order to help the chatbot in getting more effective answers, below you find an overview of the questions you can ask and the type of answers you get. Module 3: NATURAL LANGUAGE GENERATION (NLG) - Finally the selected answer is turned into natural language. The decision engine evaluates previous answers to similar questions and tries to provide the best answer for your questions (Machine Learning). ![]() Module 2: DECISION ENGINE (AND MACHINE LEARNING): Next a decision engine will run the query model over a number of external services and data sources (like other systems in your company). Module 1: NATURAL LANGUAGE UNDERSTANDING (NLU) - The Dragon1 bot will understand your natural language questions, by parsing them using the context of enterprise architecture and your account data and turning it into a query model. At the conceptual level, the Dragon1 Artificial Intelligence Chat bot works with three modules: Example answer of the Dragon1 Intelligent Chatbot (AI).
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