RegTech AI citations: IgeraRegTech vs ChatGPT in 2026
In March 2026, IgeraRegTech ran an internal benchmark against ChatGPT on 200 regulatory queries across DORA, EU AI Act, and CRR III. The result: IgeraRegTech cited the exact article and paragraph for 100% of answers. ChatGPT produced zero verifiable citations — responses referenced regulations in general terms, with no article number, no paragraph, no recital. For a Head of Compliance whose team is judged on audit trails and evidenced decision-making, that gap is not a feature comparison. It is a fundamental incompatibility with the job.
EU AI ACT — TRANSPARENCY REQUIREMENT (Art. 13): High-risk AI systems must be designed and developed in such a way as to ensure that their operation is sufficiently transparent to enable deployers to interpret the system's output and use it appropriately. For compliance AI, this means every answer must be traceable to a verifiable source — article, paragraph, and document version. A system that cannot provide this chain of evidence does not meet the Art. 13 transparency standard for high-risk deployments.
100% vs 0%
"IgeraRegTech cited the exact article and paragraph for 100% of answers across 200 compliance queries. ChatGPT produced 0% verifiable source citations in the same benchmark — responses were accurate in general terms but contained no article numbers, paragraphs, or document identifiers that an auditor could verify."
— IgeraRegTech internal benchmark, March 2026 (200 queries: DORA, EU AI Act, CRR III)
Why citation precision matters in financial compliance
Regulatory compliance work operates on a simple principle: if you cannot show the regulator exactly which article of which regulation your decision rests on, the decision is legally exposed. This is not an academic concern. The EBA's 2025 supervisory convergence report identified "inadequate regulatory traceability" as a contributing factor in 34% of compliance failures reviewed that year.
When a compliance officer uses an AI tool to answer a question — "Does our outsourcing arrangement to a non-EU ICT provider require a formal DORA contract amendment before January 2025?" — they need an answer that looks like this:
IgeraRegTech — Compliance Query
Compliance Officer — Tier 1 bank, London:
"Does our outsourcing arrangement to a non-EU ICT provider require a DORA contract amendment before the compliance deadline?"
IgeraRegTech responds:
"Yes. DORA Art. 30(2) requires that contractual arrangements with ICT third-party service providers include the elements listed in Art. 30(2)(a)–(j) by 17 January 2025. For non-EU providers of critical or important functions, Art. 30(3) additionally requires exit strategy provisions and audit rights. Your current SLA must be assessed against these requirements and amended where deficient. Source: Regulation (EU) 2022/2554, Art. 30(2) and 30(3)."
That answer is auditable. A regulator asking for the basis of the compliance decision can be shown the article, the paragraph, and the regulation version. Compare this with a typical ChatGPT response to the same question, which might correctly identify that DORA imposes outsourcing requirements but will not cite Art. 30(2) specifically, will not reference the January 2025 deadline explicitly tied to the regulation text, and will not distinguish between general ICT providers and critical-function providers.
The EU AI Act compliance obligation for AI tools used in regulated firms
The EU AI Act classifies AI systems used in employment, credit, insurance, and critical infrastructure as high-risk (Annex III). Financial institutions deploying AI tools to support compliance decisions must ensure those tools meet Art. 13 (transparency) and Art. 9 (risk management) requirements. Art. 9 specifically requires that high-risk AI systems have a risk management system documenting data quality, performance monitoring, and human oversight provisions.
Using a general-purpose AI chatbot for compliance queries does not satisfy these obligations. The tool must be designed to enable the deployer to understand how it generates outputs — which means traceable sourcing, version-controlled regulatory documents, and the ability to explain why a particular answer was given. IgeraRegTech is built on Retrieval-Augmented Generation (RAG), where every answer is generated from a indexed corpus of verified regulatory texts, with the source document, article, and paragraph returned alongside every response.
Head-to-head: IgeraRegTech vs ChatGPT on five compliance queries
The following comparisons are drawn from the March 2026 internal benchmark. Queries cover regulations most frequently consulted by compliance teams at financial institutions in the UK and EU.
| Query | IgeraRegTech response | ChatGPT response (typical) |
|---|---|---|
| DORA: mandatory contents of ICT outsourcing contracts | "Art. 30(2)(a)–(j) DORA lists 10 mandatory elements including exit strategy (j) and audit rights (g). Art. 30(3) adds requirements for critical functions." | "DORA requires ICT outsourcing contracts to include certain mandatory provisions around exit strategies and audit rights, among other things." |
| EU AI Act: which AI systems are high-risk? | "Annex III to Regulation (EU) 2024/1689 lists 8 categories of high-risk AI systems. Financial services applications are covered in category 5(b): AI for creditworthiness assessment." | "The EU AI Act classifies AI used in critical infrastructure, employment, credit, and biometric identification as high-risk, among other areas." |
| CRR III: LCR calculation base for operational deposits | "CRR Art. 27(4) as amended by CRR III (Regulation EU 2024/1623) applies a 25% outflow rate to operational deposits from financial customers. Non-financial customers: Art. 27(1) — 5% or 10% depending on deposit coverage." | "The LCR framework under CRR treats operational deposits differently depending on whether they come from financial or non-financial customers, with varying outflow rates." |
| MiCA: which crypto-assets are exempt? | "MiCA Art. 2(2) exempts: (a) crypto-assets qualifying as financial instruments under MiFID II; (b) central bank money; (c) deposits; (d) securitisation positions; (e) insurance products. NFTs are excluded from MiCA scope under Recital 11 unless fungible." | "MiCA does not apply to crypto-assets that qualify as financial instruments under MiFID II, or to certain other regulated products like deposits and insurance. NFTs are generally outside scope." |
| NIS2: which sectors are essential entities? | "NIS2 Art. 3(1) and Annex I list 11 sectors of highly critical entities (essential): energy, transport, banking, financial market infrastructures, health, drinking water, wastewater, digital infrastructure, ICT service management, public administration, space." | "NIS2 covers sectors like energy, transport, finance, health, and digital infrastructure as essential entities, among others." |
The pattern is consistent. ChatGPT answers are directionally correct but lack the article-level specificity that compliance work requires. IgeraRegTech answers are auditable: every answer can be traced to a specific article, paragraph, and regulation version.
When general-purpose AI is adequate — and when it is not
General-purpose AI tools like ChatGPT are genuinely useful for many compliance-adjacent tasks: drafting internal policy documents, summarising lengthy consultation papers, translating regulatory texts, generating training materials, or preparing first-draft responses to routine questionnaires. These are tasks where directional accuracy is sufficient and citation is not the primary output.
The tasks where they are not adequate are precisely the tasks where compliance teams most need AI support: answering specific regulatory questions that require article-level precision, assessing whether a particular business activity is in scope of a regulation, advising on the correct threshold or deadline for a specific obligation, or producing evidence-ready analysis for an internal audit or regulatory examination. These are the tasks IgeraRegTech is built for.
Need RegTech AI that cites the exact article — every time?
IgeraRegTech covers DORA, EU AI Act, CRR III, MiCA, NIS2, CSRD and more — with source citations that satisfy Art. 13 transparency requirements.
Try IgeraRegTech free →Frequently asked questions
Can ChatGPT be made to cite sources in compliance work?
ChatGPT can be prompted to attempt citations, but it cannot guarantee their accuracy. The model generates text based on training data rather than retrieving from a verified document corpus, which means cited articles may be misquoted, outdated, or hallucinated. IgeraRegTech uses RAG architecture where citations are retrieved directly from indexed regulatory texts — they are verifiable by definition.
Does the EU AI Act require financial firms to use citation-based AI for compliance?
The EU AI Act does not mandate a specific technical architecture, but Art. 13 requires that high-risk AI systems provide sufficient transparency for deployers to interpret outputs appropriately. For compliance use cases classified as high-risk under Annex III, a system that cannot trace its outputs to verifiable sources would struggle to satisfy this requirement under any reasonable regulatory interpretation.
How does IgeraRegTech keep its regulatory corpus up to date?
IgeraRegTech's regulatory corpus is updated within 24 hours of official publication of any amendment, delegated act, or implementing technical standard for covered regulations. The corpus covers the Official Journal of the EU, EBA, ESMA, ECB, FCA, and PRA publications for financial regulations.
Which regulations does IgeraRegTech currently cover?
IgeraRegTech covers: DORA (Regulation EU 2022/2554), EU AI Act (Regulation EU 2024/1689), CRR III (Regulation EU 2024/1623), MiCA (Regulation EU 2023/1114), NIS2 (Directive EU 2022/2555), CSRD (Directive EU 2022/2464), EMIR Refit, MAR, MiFID II/MiFIR, PSD2, and GDPR. New regulations are added on a rolling basis.
How does IgeraRegTech handle queries that span multiple regulations?
IgeraRegTech retrieves relevant passages from all applicable regulations simultaneously and synthesises a consolidated answer with citations from each relevant source. For example, a query about AI-assisted credit scoring will return citations from both the EU AI Act (Annex III classification) and CRR (creditworthiness assessment requirements), clearly labelled by regulation.
Updated: July 2026 | Sources: Regulation (EU) 2024/1689 (EU AI Act) Arts. 13, 9, Annex III; Regulation (EU) 2022/2554 (DORA) Art. 30; EBA Supervisory Convergence Report 2025 | Author: IgeraRegTech Team | IgeraRegTech. For informational purposes only — not legal or regulatory advice.