How to use AI for regulatory compliance: policies, audits and reports with Claude

The first step of any compliance system is knowing exactly what the law requires of you. Claude can help you start with a diagnostic.

1. Open Claude (claude.ai) and write a prompt like this, adapted to your sector:

   I own a digital marketing agency with 8 employees in Spain. I handle
   client data (emails, preferences). Which main regulations apply to me
   today (GDPR, AI Act, others)? Give me a list of the most important
   things I need to have in order, without legal jargon.

2. Review the list it gives you. Ask it to expand on any point you don’t understand:

   What does GDPR compliance mean in practice for a company of my size?
   Give me the 5 most important minimum requirements.

3. Save that list as your obligations inventory. It’s the base document for your compliance system.

This list is a starting point, not legal advice. Verify the critical points with a lawyer or expert in your sector. Rules change; for the EU AI Act, confirm the current status on the European Parliament’s official page.

Once you know which rules apply to you, the next step is checking whether your current internal policies comply with them. Claude is very good at comparing your document with a standard.

1. Take one of your internal policies (privacy, data security, AI tool usage, etc.) as text or PDF.

2. In Claude, paste the policy text and write:

   This is my current privacy notice. Does it meet GDPR requirements for
   European companies? Tell me what's missing or what should be improved,
   point by point.

3. Claude will give you a gap analysis: what’s there, what’s missing and what’s worded confusingly.

4. Ask it to help you draft the missing sections:

   Draft the "User rights" section I'm missing, in plain language for a
   professional services website.

For very long documents (more than 20 pages), Claude Pro handles context better. If you use the free plan, split the document into sections and analyze them in parts.

If you want to build a well-documented policy library, the tutorial How to create technical documentation with AI gives you the full structure.

Rules change. In 2026, the EU AI Act’s transparency obligations are already fully enforceable. Keeping up without a legal team is possible if you use AI as a filter.

Basic monitoring flow:

1. Set up a Claude Project with the role of compliance advisor for your sector. Give it your obligations inventory from step 1 as context.

2. Every week (or month), run through Claude the summaries or bulletins you receive from regulatory bodies, sector associations, or legal newsletters:

   This is the monthly bulletin from the AEPD (Spanish Data Protection Agency).
   Is there anything here that affects my company based on my profile? Do I need
   to update any policy or process?

3. Claude will tell you what’s relevant to you and what you can ignore, saving you from reading 40 pages of technical text.

4. If there’s a relevant change, ask it to draft an executive summary to share with your team.

Don’t use Claude as the sole source of truth about active regulations. Always confirm critical changes at official sources (BOE, EUR-Lex, AEPD sites, etc.).

An internal compliance audit has two parts: asking the right questions and documenting what you find. AI helps with both.

To prepare the audit:

1. Tell Claude the scope of your audit:

   I need to do an internal GDPR compliance audit at my company. Give me
   a checklist of the points I should review, organized by area: customer
   data, employees, vendors, and technical security.

2. Use that checklist to go through your company (or delegate to each area).

To document the results:

3. Once the review is done, pass your notes to Claude:

   Here are my audit notes. Draft an internal GDPR audit report with:
   executive summary, findings by area, risk level (high/medium/low)
   and an action plan with proposed dates.

4. Review the draft, adjust the details only you know, and save it with a date and signature.

To have a reusable process documentation system, see the tutorial How to create standard operating procedures (SOPs) with AI.

Compliance work doesn’t end with analysis: you have to communicate it. A good report turns technical data into clear decisions.

1. Gather the findings from step 4 (or your last review) and pass them to Claude with context about the recipient:

   I have this internal audit report. I need to prepare a 1-page executive
   version to present to my board: the 3 most important risks, current
   compliance status, and 3 priority actions with dates. No jargon.

2. If the report is for a client who requires compliance evidence, ask for a more formal format:

   Draft a compliance report to share with a client in the financial sector.
   It should include: applicable regulatory framework, compliance evidence by
   area, and a status declaration.

3. Always review the draft before sending. Claude can make mistakes on dates, figures, or specific regulation names.

Turn this report into a reusable template for future audits. Save it in your Claude Project alongside your updated policies.

Problem	Fix
Claude gives incorrect or outdated regulatory information	Always cross-check with the official source (EUR-Lex, BOE, the regulatory body’s site). AI can hallucinate dates or details of specific rules
The gap analysis is too generic	Give more context: sector, company size, country, type of data you handle. The more specific the prompt, the more useful the result
I can’t upload the document due to its size	Split the document into 20-30 page sections and analyze in parts. Claude Pro handles more context
I don’t know which regulations apply to me	Start with step 1: ask Claude for an initial diagnostic based on your sector and country. Then verify with a specialist
The report is too technical for my team	Explicitly ask for “no jargon” and “in plain language for non-experts.” If it’s still complex, ask for a shorter version in list format