Intelligent Chatbot AI Answers AI Checks for Architects

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What is an AI Chatbot and how does it benefit Architects?

Dragon1 developed an AI chatbot using artificial intelligence. It helps stakeholders and projects find and access the latest insights and overviews in enterprise architecture data.

The questions and answers are in natural language, and the models shown are generated in real time. All of this can be done directly without an architect's intervention.

Intelligent Chatbot AI Answers AI Checks for Architects.

Many architects, analysts, and engineers create great insights and overviews, but do not seem to reach the projects and stakeholders with these insights and overviews. Here, intelligent AI chatbots are of great help.

How Does an AI Chat Bot Work?

At various places on the Dragon1 platform, like the Workplace, Search Engine, and AI Labs, users can type questions in natural language.

At the conceptual level, Dragon1 Artificial Intelligence Chatbot works with three modules:

Module 1: NATURAL LANGUAGE UNDERSTANDING (NLU) - The AI chatbot will understand your natural language questions by parsing them using the context of enterprise architecture and your account data and turning them into a query model.

Module 2: DECISION ENGINE (AND MACHINE LEARNING): Next, a decision engine will run the query model over several external services and data sources (like other systems in your company).

The decision engine evaluates previous answers to similar questions and tries to provide the best answer for your questions (Machine Learning).

Module 3: NATURAL LANGUAGE GENERATION (NLG) - Finally, the selected answer is turned into natural language.

To help the chat bot get more effective AI answers, below you will find an overview of the questions you can ask and the type of answers you get.

Example ai answers ai checking of Dragon1 Intelligent AI Chatbot.

Speech to Text

Dragon1 also supports speech-to-text; the chat bot service will answer you back in natural language.

This is of great help to people who are, for instance, visually impaired.

The Natural Language Example

You only know what you know! Dragon1 SaaS platform provides context for enterprise architecture, methods, languages, and your EA data. The AI chatbot answers all questions within this context.

Questions outside of this context can also be answered, but that would require external services or data sources that are focused on a different context.

Here are a few examples that the artificial intelligence chatbot can answer:

1. What Questions

Example template: What is (a/an) % ?
Example template: What is (the) % of % ?
Example template: What is the relationship between % and % ?
Example template: What does % mean ?
Example template: What % are (not) (most commonly) used by % ?

• What is a business actor ?
• What is the importance of strategy ?
• What does actor mean?
• What is a chatbot ?
• What is the solution ABC in our company ?
• What is the principle single source of truth ?
• What is the name of the CEO of the company IBM ?
• What is the name of the HR Manager of our organization ?
• What is the difference between process ABC and process DEF ?

2. Which Questions

Example: Which % are [used/provided/triggered/updated/changed] by % ?

• Which services are provided by the application MyCRM ?
• Which standards are (not) used by solution ABC ?
• Which applications are there in our company ?
• Which solutions are (not) compliant with policy standards ?
• Which processes are (not) supported by integrated/monolithic/open/3-tier applications ?
• Which projects are (not) resourced with the required skills ?

3. Who Questions

Example: Who is %
Example: Who are %

• Who is John Zachman ?
• Who is the owner of the business process Sales ?
• Who is responsible for software development in the company ABC ?

4. How Questions

Template: How many % are there (without) having a %
Template: How % are %
Template: How much % do we [have/do/create] / does our company [have/do/create]
Template: How to [make/create/do/check] a %

• How to create an architecture model ?
• How smart are chatbots?
• How many activities are there in process XYZ ?
• How many applications are there without having a support contract ?

5. Where Questions

Sample: Where is/are % [used/created/stored/done]
Sample: Where in/at % do % make use of % ?

• Where is standard ABC used in our organization ?
• Where does application DEF store personal data?
• Where in our company do we make use of chatbots ?

6. When Questions

Sample: When is % ABC [finished/over/delivered/ready] ?

• When is project ABC finished ?

7. Why Questions

Sample: Why should we/you/I/one % (a) %?

• Why should I create a business model?

Chatbot AI Reference Architecture

The AI chatbot was designed and created using the reference model below. Please take a look at it and see how the chat bot AI check works. The diagram visualizes the principle (i.e., the working mechanism) of the Chatbot concept.