AI | XBRL

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Sentiment Analysis | Using LLMs to Analyse Narrative Disclosures

This is the third entry in the blog series “Using LLMs to Analyse Narrative Disclosures.” In the previous analysis, we explored how liquidity risk disclosures revealed clear patterns and outliers, offering valuable signals through structured XBRL tagging and LLM-powered summarisation. In this part, we shift focus to sentiment analysis — examining how management frames its […]

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FCA launches review into AI’s future in finance

By Editor

The UK’s Financial Conduct Authority (FCA) has launched a wide-ranging review into how artificial intelligence could reshape retail financial services in the years ahead.

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Transparently AI?

By Editor

An interesting piece from Vincent Huck in this week’s Corporate Disclosures e-zine (registration required, but you’ll thank us later) asking questions that need answers.

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Topic Analysis and Anomaly Detection | Using LLMs to Analyse Narrative Disclosures

By Revathy Ramanan

This is the second entry in the series “Using LLMs to Analyse Narrative Disclosures.” In the previous piece, we saw how a simple prompt was sufficient to uncover the pattern of audit firms across 900 reports. Because the exact fact — the audit firm code (EDRPOU) — was explicitly tagged, it became easy and reliable to […]

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Exploring liquidity risk disclosures with LLMs and XBRL

By Editor

This week sees the second entry in our blog series “Using LLMs to Analyse Narrative Disclosures.” This time, XBRL International’s Revathy Ramanan dives into how large language models (LLMs), combined with XBRL tagging, can reveal both common patterns and outliers in how companies discuss liquidity risk.

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XBRL US joins fintech research hub to explore AI and structured data

By Editor

XBRL US recently announced that it has joined the Center for Research toward Advancing Financial Technologies (CRAFT) as an affiliate member. The collaboration aims to explore how structured, standardised data, particularly in XBRL format, can enhance AI and other fintech applications.

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Using LLMs to Analyse Narrative Disclosures | Overview of disclosure

By Revathy Ramanan

Narratives in disclosures are just as important as numbers—but much harder to analyze. Numbers can be easily fed into a model for comparison or trend analysis. Text, however, is less straightforward. Regulatory disclosures, especially sustainability reports, often contain large volumes of narrative information: policies, strategies, risk explanations, and qualitative context. Traditionally, text analytics has been […]

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AI and digital reporting in 2025: structure is the real superpower

By Editor

In 2025, artificial intelligence became a key topic in financial reporting – but if we want trustworthy results, we need trustworthy inputs. A run of commentary and explainers made the case that structured digital reporting is not an “extra” for AI; it’s the enabling infrastructure.

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AI in the audit

By Editor

At a recent AICPA “A&A Focus” webcast, panellists explored how auditors can get more from artificial intelligence – not by upgrading the tech, but by upgrading their prompts.

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Mind the data gap with AI assistants

By Editor

Everyone’s talking about generative AI, not least in finance, where CFOs are dreaming of AI assistants to whip up reports, streamline analysis processes, and perhaps even make the coffee. But before businesses get swept up in the AI gold rush, it’s important to take a moment to ask: what’s feeding the machine?

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Items tagged with "AI"

Sentiment Analysis | Using LLMs to Analyse Narrative Disclosures

FCA launches review into AI’s future in finance

Transparently AI?

Topic Analysis and Anomaly Detection | Using LLMs to Analyse Narrative Disclosures

Exploring liquidity risk disclosures with LLMs and XBRL

XBRL US joins fintech research hub to explore AI and structured data

Using LLMs to Analyse Narrative Disclosures | Overview of disclosure

AI and digital reporting in 2025: structure is the real superpower

AI in the audit

Mind the data gap with AI assistants

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AI

Items tagged with "AI"

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