40 Questions Compliance Officers Should Ask Before Trusting AI Regulatory Outputs
An AI tool can generate a regulatory interpretation in seconds that takes you minutes to verify and hours to disprove if wrong. When Thomson Reuters AI or ChatGPT gives you a regulatory reading, your professional liability depends on whether you ask the right questions before you act. These 40 questions help you catch the subtle errors, missing context, and hidden assumptions that make AI outputs look authoritative when they are not.
These are suggestions. Use the ones that fit your situation.
1When ChatGPT or Lexis+ AI interprets a regulation, can you identify which version of the rule it used and whether a more recent amendment exists that changes the meaning?
2Has the AI output cited the specific section number and subsection of the regulation, or has it paraphrased in a way that obscures where the requirement actually appears in the text?
3If the AI interprets a term like 'timely notice' or 'reasonable steps', does it show you how your specific regulator has defined that term in guidance, enforcement actions, or case law?
4When Thomson Reuters AI gives you a regulatory interpretation, does it distinguish between what the rule says and what the regulator has said about how the rule should be read?
5Has the AI output acknowledged jurisdictional differences, such as different meanings of the same requirement under EU, UK, and US law?
6If the interpretation relies on regulatory guidance, does the output show you the date of that guidance and whether your regulator has since changed its position?
7When you ask the AI why it chose one interpretation over another, does it give you a reason based on regulatory intent, or does it admit it does not know?
8Has the AI checked whether the regulation has been the subject of recent enforcement action that signals how your regulator is actually interpreting it?
9If the AI cites a principle from one regulation to interpret another, has it verified that both regulations use the principle in the same way?
10Does the AI output include the date it was last updated, so you know whether it reflects the current regulatory landscape in your jurisdiction?
Risk Assessment Gaps and Missing Context
11When KPMG Clara or Copilot generates a risk assessment for your organisation, can you see which specific risks it evaluated and which it did not include?
12Has the AI assessed regulatory risks that are specific to your sector, or has it produced a generic assessment that could apply to any organisation in your industry?
13If the AI rates a compliance risk as low, does it explain what assumptions it made about your organisation's size, structure, and prior conduct?
14Has the AI accounted for the relationship between two separate regulations that your organisation must follow, or has it assessed each rule in isolation?
15When the AI flags a risk, does it distinguish between risks that are inherent to your business model and risks that exist because of gaps in your current controls?
16Has the AI identified which risks require urgent attention because your regulator has signalled enforcement priority in the past 12 months?
17If the risk assessment came from Thomson Reuters AI, does it reflect enforcement patterns in your specific jurisdiction, or does it rely on data from other regions?
18Has the AI considered the interaction between your compliance obligations and the conduct rules that apply to your staff and board?
19When the AI says a risk is unlikely, does it show you the evidence it used to reach that conclusion, or is it making a statistical guess?
20Has the risk assessment accounted for the costs and practical difficulties of implementing each control, or does it assume all controls are equally feasible?
Policy Drafting and Hidden Assumptions
21When ChatGPT drafts a compliance policy, can you see which regulations it relied on, and has it missed any rules that your organisation must follow?
22Does the AI-drafted policy state obligations clearly, or does it embed compliance requirements in language so broad that it will be difficult to enforce internally?
23Has the policy explained why each requirement exists, or has it simply listed regulatory obligations without connecting them to your organisation's actual risk?
24If the AI drafted the policy using Lexis+ AI, does it reflect how your regulator has actually expected organisations to implement this requirement in practice?
25Does the policy make assumptions about your organisation's reporting structure, technology systems, or staff capabilities that may not be accurate?
26Has the AI accounted for conflicts between this new policy and policies you already have in place, or will implementing it create contradictions?
27When the policy sets a deadline or threshold, has the AI explained whether that deadline or threshold is required by regulation or is being imposed by your organisation for internal reasons?
28Does the policy include a mechanism for identifying and correcting breaches, or has the AI assumed your organisation already has processes to detect policy violations?
29Has the AI acknowledged that your organisation's policy must be stricter than the minimum regulatory requirement, and has it made clear where you are going beyond the rule?
30If the policy applies across multiple jurisdictions, has the AI identified where the requirement differs by country and set separate standards for each region?
Audit Readiness and Accountability Gaps
31When Copilot or Thomson Reuters AI prepares audit documentation, can you trace how each statement in the document connects to evidence you actually have?
32If the audit readiness output says you have implemented a control, does it point to specific artefacts (meeting notes, screenshots, approval records) or is it making a general claim?
33Has the AI assessed whether your evidence is sufficient for your specific regulator, or has it used generic audit standards that may not match what your regulator expects to see?
34When the AI generates a compliance testing plan, does it test the controls you actually have, or does it assume you have put in place the controls described in your policy?
35If KPMG Clara or another tool finds a compliance gap, does it explain why the gap exists and what steps you have taken to remediate it?
36Has the audit output acknowledged the date each control was implemented and whether it has been operating long enough to be tested for effectiveness?
37When the AI prepares your audit response, does it avoid making admissions about past breaches that could increase regulatory or legal exposure?
38If the audit document cites a regulatory requirement, is the citation specific enough that an auditor can independently verify it, or has the AI created ambiguity?
39Has the AI output distinguished between controls that are working and controls that have failed, or has it lumped them together in ways that obscure what is actually happening?
40When you submit AI-assisted audit documentation to your regulator, are you personally confident in every statement, or are there sections where you are relying on the AI's authority rather than your own knowledge?
How to use these questions
Before you send any AI-generated regulatory interpretation to your board or external counsel, ask the AI to show you the exact rule text it is interpreting and whether it has checked for recent amendments. If it cannot do this clearly, you have spotted a liability risk.
Risk assessments from KPMG Clara or Lexis+ AI look comprehensive because they are long. Test their actual depth by asking the AI to explain why it rated a specific risk at its chosen level. If the explanation relies on generic factors rather than your organisation's specifics, the assessment is not finished.
When ChatGPT or Copilot drafts a policy, treat the first draft as a starting point only. Check whether every obligation in the policy has a corresponding requirement in the regulations you must follow. Policies that include obligations not required by law create unnecessary compliance burden and audit exposure.
Audit documentation prepared by AI needs your personal review of every factual claim. If the AI says you have implemented a control, do not file that statement unless you can point to the evidence. Your regulator will ask for proof, and 'the AI said so' is not evidence.
Create a simple rule: before you act on any AI output in Thomson Reuters AI, Lexis+, Copilot, ChatGPT, or KPMG Clara, identify what you would need to know to explain that decision to your regulator or a court. If the AI cannot help you answer those questions, you are not ready to act.