Checking compliance manually takes hours. Claude can identify gaps between your documents and your requirements.
Running a compliance check means comparing your internal policies against strict regulatory requirements. Doing this manually is a grind. You usually find yourself staring at dense PDFs and tracking the missing clauses in a massive spreadsheet. Claude can handle the heavy lifting of the actual gap analysis. But before you feed your policies into Claude, make sure your source text is usable. If you are exporting regulatory requirements from outdated legal databases, you will likely need to clean data first so the AI does not misinterpret broken formatting or stray characters.
Key insight: Claude checks compliance strictly against the requirements you provide. It does not browse the web for the latest laws autonomously. Its output must always be validated by a compliance professional.
Policy gap analysis
Check if an internal policy actually covers all the requirements of a specific regulation.
Document review
Spot exactly which clauses meet requirements and which need a total rewrite.
Requirements mapping
Map each regulatory requirement directly to the relevant section of your procedure.
Without Claude
Reading texts side by side for hours, cross-referencing requirements manually and hoping your attention doesn't slip.
With Claude
Getting a structured gap analysis in minutes. You instantly see what is covered, what is missing, and what needs fixing.
A rigid workflow prevents Claude from hallucinating and keeps your analysis grounded in the actual documents. Here is how to structure the process.
1
Lock down your documents
Define exactly which policy you are checking and the specific regulation it needs to meet.
2
Prepare the text
Strip out heavy formatting. If you manage compliance matrices across different regions, utilizing AI for Excel can drastically speed up how you organize and extract these requirements before prompting.
3
Run the gap analysis
Paste both texts into Claude. Ask it to explicitly list which requirements are met, partially met, or entirely missing.
4
Validate findings and update trackers
Have a human expert review the output. When you paste Claude's findings back into your compliance tracker using lookup functions, you might hit matching errors. Knowing how to troubleshoot #N/A errors will save you from manually verifying hundreds of rows.
5
Update and re-check
Rewrite the non-compliant sections and run the updated policy through Claude again to ensure the gaps are closed.
Note: Claude analyzes exactly what you paste. If you provide an outdated draft of a regulation, your gap analysis will be useless. Always use the active, in-force text.
Use these prompts to force Claude into a strict comparison mode. Once you have the output, you can feed it directly into your tracking sheets to build dynamic reports for your audit committee, giving them a clear, real-time view of compliance status.
Prompt 1 — Core gap analysis
Check the following document against the requirements listed below and identify any gaps.
Document to check: [Insert Document Text]
Requirements to check against: [Insert Regulation / Standard / Internal Policy Requirements]
For each requirement, state whether the document: (a) fully meets it, (b) partially meets it, or (c) does not address it. For gaps, note which section of the document is affected.
Crucial instruction: Base your analysis solely on the two texts provided. Do not add requirements from external regulations not included in the requirements text, and do not interpret ambiguous language as compliant.
Prompt 2 — Requirements mapping
Map each of the following requirements to the relevant section of the document provided, and note any requirements that are not addressed.
Requirements: [Insert Requirements List]
Document: [Insert Document Text]
Present the output as a table with columns: Requirement, Document Section, Status (Met / Partial / Gap).
Crucial instruction: Only reference sections that exist in the document provided. Do not suggest that a requirement is met if the document language is vague or ambiguous.
Before trusting the output
Version control: Are you definitely using the in-force version of the regulation?
Expert review: Has a qualified human validated the findings?
No hallucinations: Did Claude stick strictly to the provided text without inventing rules?
Data integrity: If you are linking this output across multiple risk sheets, have you ensured your formulas are solid? A single circular reference can break your entire compliance dashboard.
Important: Claude is a parsing tool, not a lawyer. Regulations are open to interpretation. Only a qualified professional can sign off on actual compliance. Never use AI output as legal evidence.