How Neota Logic Applications Work
A typical Neota Logic application, when run interactively in a browser, will:
- Ask questions of the user to collect facts—The interview is intelligent and efficient, driving the selection and sequence of questions by the logic of the application, the answers given to earlier questions and the intermediate conclusion already reached.
- Collect data from other sources—Based on the user’s answers to questions, the application may collect data from other sources, such as databases, web services and other Neota Logic applications.
- Apply reasoning to the facts and data—As it collects facts and data, the application will continuously and automatically apply all the types of reasoning necessary to replicate the reasoning of the domain expert.
- Reach conclusions based on the reasoning—By applying reasoning to facts and data, the application, like a human expert, reaches intermediate and final conclusions and can explain why it reached those conclusions.
- Execute actions based on the conclusions—When the application reaches its conclusions, it can perform a variety of actions, including:
- Display an on-screen summary of results.
- Create a detailed, customized report or memo in Word or HTML to be e-mailed or printed.
- Send an e-mail to the user or any other person.
- Update a database or send data to another application.
- Send facts and conclusions to a document assembly program to generate transactional documents.
- Trigger a step in a workflow.
When invoked from other software, such as a transactional system or a workflow engine, a Neota Logic application need not necessarily interact with a user on screen. The application can collect necessary facts and data from databases and other sources, then apply reasoning, reach conclusions and execute actions just as it does when run interactively. A single application can function in either or both modes simultaneously.
As an application is used, questions asked and answers given are written to a database, creating a systematic record of decisions, exercises of discretion and processes that have hitherto been informal, undocumented and difficult to analyze, review and manage.
Data analysis and visualization tools are applied to inform management and counsel about patterns of activity and potential issues or risks.