Typical Process Steps:

1. We'll sign an NDA to protect your IP and project.
2. Review your application/project requirements, target host environment, status and desired timeline.
3. Review the data elements of the system, along with determining the frequency of their presentment and availability to the decision making structure. This will include either the review of actual raw data, or the production and discussion of sample data that is deemed suitable for use in development to follow.
4. Review the types of decisions that must be made along with the method of the delivery and availability of those decisions.
5. Review all families of AI algorithms (as stated above) to determine the most appropriate approach (which may include multiple approaches). Note: Neural Networks may not be the best candidate, and therefore one or more of our other 50+ algorithms families may be better suited for your application.
6. Develop a straw-man design of the decision making structure, including layout, approach and design. 
7. If your project requires natural language processing, we would begin building the 'lexicon' of syntax relative to the use domain.
8. Provide a stand-in module (semi-functional prototype) for integration and process integrity check while actual custom AI development gets underway.
9. Custom AI modular component development
10. Delivery and integration of AI module(s)
11. Testing and fine-tuning of structure and decision selection
12. Ongoing support and maintenance