# Next Steps **Phase 1** of our project illustrates the potential for process efficiencies that may be gained when adopting machine executable reporting using common data models. It could also increase the volume of granular data available to supervisors, which is needed to enable the use of advanced analytics. Further exploration between regulatory authorities would be needed to validate these findings and to see whether the exercise could be extended to other reporting use cases. Building on this first use case, **Phase 2** will explore the integration of granular data sets with unstructured data, using AI and ML to extract insights from these data sources to highlight correlations between current events and supervisory metrics. Insights extracted from the mined data would be displayed as early warnings for supervisory attention via dashboards. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.bis.org/ellipse/proof-of-concept/next-steps.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.