> For the complete documentation index, see [llms.txt](https://docs.auditchain.finance/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.auditchain.finance/auditchain-protocol/master.md). # Introduction This is a continuously expanding information repository covering the operating system for global regulatory disclosure. ### Overview We developed the world's first artificial intelligence based regulatory disclosure infrastructure that provides proof of financial and operational state of economic entities and issuers of digital assets. The project is designed to raise the integrity and reliability of disclosure information for regulators, professional services firms and today's open ledger based investment society. So how do we do this? Through incentives for creators of disclosure models and disclosure controls as well as validators who verify that the models and controls work correctly. As the platform becomes more more adopted, it becomes the basis of an automated "operating system" for disclosure and analysis. As the world's assets become tokenized, accounting, disclosure, audit and analysis must undergo a radical transformation. As the world's accountants and professionals contribute models and controls, processes become more refined and disclosure becomes more reliable. The more precise the logic and data becomes, the more artificial intelligence can predict and estimate future outcomes on a micro and macroeconomic level. Sounds cool right? Its gets better. Instead of performing manual labor for hourly fees, the professional services community can build a portfolio of models and controls that earn revenue. Ok NOW professional services just became the sexiest profession on the planet! Finance and law are complicated subject matters and are sometimes difficult to articulate. We are working really hard to make it fun. Wherever and whenever we can, we will attempt speak plain English when discussing these matters. We also hope to add a sense of humor as well as a sense of humanity. Please be sure to join our [Discord](https://discord.gg/JbpFqKM3EM) server. We will stage periodic live discussions on the project and also the usual crypto banter. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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 following URL with the `ask` and `goal` query parameters: ``` GET https://docs.auditchain.finance/auditchain-protocol/master.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `build a script that syncs our docs to a CMS` lets GitBook tailor the answer to that use case. 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.