Automate XBRL tagging using AI

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AI-based XBRL tagging

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AI-powered Automated iXBRL
sec-edgar-filing.com
a division of Advanced Computer Innovations, Inc. 70 Office Park Way • Pittsford, NY 14534-1746 (USA) Phone or text: 585-510-3890 • Email: click here
EDGARsuite SEC Filing Software takes EDGAR compliance to the next level with its built-in AI Agent that doesn’t just recommend the right Inline XBRL tags - it applies them automatically! This means faster, more accurate filings with less manual effort, giving you intelligent automation and peace of mind in one powerful solution.

Basics of AI for Automated Inline XBRL

There are currently two problem-solving approaches in AI - Generative and Reasoning. The early AI engines largely used the Generative approach. An engine using Generative AI responds to queries based on patterns it has learned from large datasets. For example, the AI engine may look at tagging patterns in a large number of SEC filings on EDGAR, and then match the patterns it has learnt to what it sees in your filings in order to determine and suggest tags appropriate for your filing. Modern AI engines also include a "Reasoning" component. Reasoning AI emphasizes logical inference, structured problem-solving, and decision-making. It aims to follow rules, evaluate evidence, and apply step-by-step reasoning to reach conclusions or solve complex tasks, often requiring consistency, accuracy, and explainability. AI-based XBRL tagging works best when both components are used. While generative AI can provide breadth and creativity, reasoning AI provides depth and reliability, and together they form a powerful foundation for producing an advanced intelligent system for AI-based XBRL tagging. EDGARsuite ‘s advanced AI Agent leverages powerful industry-standard Generative and Reasoning AI engines to automate iXBRL tagging, giving you unmatched accuracy, faster filings, and complete confidence in SEC compliance.

Process of Automated Tagging with AI

In spite of the advanced processing behind the scenes, using AI for XBRL tagging in EDGARsuite is actually very straightforward: 1. In your Word document, select the portion to be tagged. 2. In EDGARsuite click the appropriate AI action link,. 3. The AI Agent displays an AI Report listing the XBRL tags it deems appropriate, and lets you alter this list if needed . 4. In EDGARsuite click “Tag” . This tags the content selected in Word with the appropriate XBRL tags. This process can be used with the filing cover sheet, financial tables, as well as tables and detailed tagging in notes and narratives. In essence, a significant amount of the Inline XBRL tagging in the filing can be done automatically by the EDGARsuite AI Agent.

Self-Training AI Agent

Since AI engines are trained on historical data, they will sometimes suggest tags from older taxonomies. EDGARsuite identifies such tags, and lets you easily replace them with tags from the current taxonomy, or create an extension tag to replace it. The AI engine then remembers these changes for future tagging, and so it gets better and better the more you use it.

AI Limitations

The EDGARsuite AI Agent is primarily beneficial for selecting and tagging XBRL concepts and, in some cases the time contexts. This in and of itself is a huge saving in time and effort. But please be aware that: It does not determine and tag time contexts in every case. It does not determine and tag dimensions (axes and members) or extensible list items. It does not tag calculations and roles such as negation. It does not tag units and precision. It does not tag footnotes attached to facts. It does not tag checkboxes in the filing cover sheet. However, the above can be merged into the AI-produced tagging which is still a considerable saving of time and effort. Finally, AI can make mistakes, so you should review its suggestions and replace or remove them if needed as described above.

In Summary …

EDGARsuite is the smarter way to prepare and submit SEC EDGAR filings. Designed for investment managers, public companies, and fund administrators, our software combines advanced compliance tools with the power of AI. With its built-in AI Agent, EDGARsuite not only suggests the proper Inline XBRL tags - it automatically applies them, eliminating manual tagging and reducing filing errors. Whether youre preparing 10-Ks, 10-Qs, 8-Ks, 13-Fs, or tailored shareholder reports, EDGARsuite streamlines every step of the filing process. Our AI-driven Inline XBRL automation ensures your disclosures meet SEC requirements while saving valuable time. Faster turnaround, lower cost, and greater accuracy mean you can focus on reporting, not formatting. EDGARsuite delivers efficiency, accuracy, and peace of mind. If youre looking for the best EDGAR software to automate SEC filings and Inline XBRL tagging, EDGARsuite is your solution.
AI-powered Automated iXBRL
sec-edgar-filing.com
a division of Advanced Computer Innovations, Inc. 70 Office Park Way • Pittsford, NY 14534-1746 (USA) Phone or text: 585-510-3890 • Email: click here
EDGARsuite SEC Filing Software takes EDGAR compliance to the next level with its built-in AI Agent that doesn’t just recommend the right Inline XBRL tags - it applies them automatically! This means faster, more accurate filings with less manual effort, giving you intelligent automation and peace of mind in one powerful solution.

Basics of AI for Automated Inline XBRL

There are currently two problem-solving approaches in AI - Generative and Reasoning. The early AI engines largely used the Generative approach. An engine using Generative AI responds to queries based on patterns it has learned from large datasets. For example, the AI engine may look at tagging patterns in a large number of SEC filings on EDGAR, and then match the patterns it has learnt to what it sees in your filings in order to determine and suggest tags appropriate for your filing. Modern AI engines also include a "Reasoning" component. Reasoning AI emphasizes logical inference, structured problem-solving, and decision-making. It aims to follow rules, evaluate evidence, and apply step- by-step reasoning to reach conclusions or solve complex tasks, often requiring consistency, accuracy, and explainability. AI-based XBRL tagging works best when both components are used. While generative AI can provide breadth and creativity, reasoning AI provides depth and reliability, and together they form a powerful foundation for producing an advanced intelligent system for AI-based XBRL tagging. EDGARsuite ‘s advanced AI Agent leverages powerful industry-standard Generative and Reasoning AI engines to automate iXBRL tagging, giving you unmatched accuracy, faster filings, and complete confidence in SEC compliance.

Process of Automated Tagging with AI

In spite of the advanced processing behind the scenes, using AI for XBRL tagging in EDGARsuite is actually very straightforward: 1. In your Word document, select the portion to be tagged. 2. In EDGARsuite click the appropriate AI action link,. 3. The AI Agent displays an AI Report listing the XBRL tags it deems appropriate, and lets you alter this list if needed . 4. In EDGARsuite click “Tag” . This tags the content selected in Word with the appropriate XBRL tags. This process can be used with the filing cover sheet, financial tables, as well as tables and detailed tagging in notes and narratives. In essence, a significant amount of the Inline XBRL tagging in the filing can be done automatically by the EDGARsuite AI Agent.

Self-Training AI Agent

Since AI engines are trained on historical data, they will sometimes suggest tags from older taxonomies. EDGARsuite identifies such tags, and lets you easily replace them with tags from the current taxonomy, or create an extension tag to replace it. The AI engine then remembers these changes for future tagging, and so it gets better and better the more you use it.

AI Limitations

The EDGARsuite AI Agent is primarily beneficial for selecting and tagging XBRL concepts and, in some cases the time contexts. This in and of itself is a huge saving in time and effort. But please be aware that: It does not determine and tag time contexts in every case. It does not determine and tag dimensions (axes and members) or extensible list items. It does not tag calculations and roles such as negation. It does not tag units and precision. It does not tag footnotes attached to facts. It does not tag checkboxes in the filing cover sheet. However, the above can be merged into the AI-produced tagging which is still a considerable saving of time and effort. Finally, AI can make mistakes, so you should review its suggestions and replace or remove them if needed as described above.

In Summary …

EDGARsuite is the smarter way to prepare and submit SEC EDGAR filings. Designed for investment managers, public companies, and fund administrators, our software combines advanced compliance tools with the power of AI. With its built-in AI Agent, EDGARsuite not only suggests the proper Inline XBRL tags - it automatically applies them, eliminating manual tagging and reducing filing errors. Whether youre preparing 10-Ks, 10-Qs, 8-Ks, 13-Fs, or tailored shareholder reports, EDGARsuite streamlines every step of the filing process. Our AI-driven Inline XBRL automation ensures your disclosures meet SEC requirements while saving valuable time. Faster turnaround, lower cost, and greater accuracy mean you can focus on reporting, not formatting. EDGARsuite delivers efficiency, accuracy, and peace of mind. If youre looking for the best EDGAR software to automate SEC filings and Inline XBRL tagging, EDGARsuite is your solution.
Automated AI-driven iXBRL Tagging
AI-powered Automated iXBRL
sec-edgar-filing.com
a division of Advanced Computer Innovations, Inc. 70 Office Park Way • Pittsford, NY 14534-1746 (USA) Phone or text: 585-510-3890 • Email: click here
EDGARsuite SEC Filing Software takes EDGAR compliance to the next level with its built-in AI Agent that doesn’t just recommend the right Inline XBRL tags - it applies them automatically! This means faster, more accurate filings with less manual effort, giving you intelligent automation and peace of mind in one powerful solution.

Basics of AI for Automated Inline XBRL

There are currently two problem-solving approaches in AI - Generative and Reasoning. The early AI engines largely used the Generative approach. An engine using Generative AI responds to queries based on patterns it has learned from large datasets. For example, the AI engine may look at tagging patterns in a large number of SEC filings on EDGAR, and then match the patterns it has learnt to what it sees in your filings in order to determine and suggest tags appropriate for your filing. Modern AI engines also include a "Reasoning" component. Reasoning AI emphasizes logical inference, structured problem-solving, and decision-making. It aims to follow rules, evaluate evidence, and apply step-by-step reasoning to reach conclusions or solve complex tasks, often requiring consistency, accuracy, and explainability. AI-based XBRL tagging works best when both components are used. While generative AI can provide breadth and creativity, reasoning AI provides depth and reliability, and together they form a powerful foundation for producing an advanced intelligent system for AI-based XBRL tagging. EDGARsuite ‘s advanced AI Agent leverages powerful industry-standard Generative and Reasoning AI engines to automate iXBRL tagging, giving you unmatched accuracy, faster filings, and complete confidence in SEC compliance.

Process of Automated Tagging with AI

In spite of the advanced processing behind the scenes, using AI for XBRL tagging in EDGARsuite is actually very straightforward: 1. In your Word document, select the portion to be tagged. 2. In EDGARsuite click the appropriate AI action link,. 3. The AI Agent displays an AI Report listing the XBRL tags it deems appropriate, and lets you alter this list if needed . 4. In EDGARsuite click “Tag” . This tags the content selected in Word with the appropriate XBRL tags. This process can be used with the filing cover sheet, financial tables, as well as tables and detailed tagging in notes and narratives. In essence, a significant amount of the Inline XBRL tagging in the filing can be done automatically by the EDGARsuite AI Agent.

Self-Training AI Agent

Since AI engines are trained on historical data, they will sometimes suggest tags from older taxonomies. EDGARsuite identifies such tags, and lets you easily replace them with tags from the current taxonomy, or create an extension tag to replace it. The AI engine then remembers these changes for future tagging, and so it gets better and better the more you use it.

AI Limitations

The EDGARsuite AI Agent is primarily beneficial for selecting and tagging XBRL concepts and, in some cases the time contexts. This in and of itself is a huge saving in time and effort. But please be aware that: It does not determine and tag time contexts in every case. It does not determine and tag dimensions (axes and members) or extensible list items. It does not tag calculations and roles such as negation. It does not tag units and precision. It does not tag footnotes attached to facts. It does not tag checkboxes in the filing cover sheet. However, the above can be merged into the AI-produced tagging which is still a considerable saving of time and effort. Finally, AI can make mistakes, so you should review its suggestions and replace or remove them if needed as described above.

In Summary …

EDGARsuite is the smarter way to prepare and submit SEC EDGAR filings. Designed for investment managers, public companies, and fund administrators, our software combines advanced compliance tools with the power of AI. With its built-in AI Agent, EDGARsuite not only suggests the proper Inline XBRL tags - it automatically applies them, eliminating manual tagging and reducing filing errors. Whether youre preparing 10-Ks, 10-Qs, 8-Ks, 13-Fs, or tailored shareholder reports, EDGARsuite streamlines every step of the filing process. Our AI-driven Inline XBRL automation ensures your disclosures meet SEC requirements while saving valuable time. Faster turnaround, lower cost, and greater accuracy mean you can focus on reporting, not formatting. EDGARsuite delivers efficiency, accuracy, and peace of mind. If youre looking for the best EDGAR software to automate SEC filings and Inline XBRL tagging, EDGARsuite is your solution.
Automated AI-driven iXBRL Tagging