Free AI Compliance Gap Analysis
See where your AI practices stand against the framework that governs you: the EU AI Act, the NIST AI RMF 1.0, ISO/IEC 42001, or the GDPR. Describe what you do today, pick a framework, and get a structured read that marks each area ready, partial, or gap, with suggested next steps. Download it as Word or PDF. It is free and needs no sign-up. Your details are processed securely to run the analysis and are never stored, sold, or used for training.
An AI compliance gap analysis compares what an organization actually does with AI against a target framework and flags where its practices are ready, partial, or have a gap. This free tool runs that comparison from a short description of your current practices, against the EU AI Act, NIST AI RMF 1.0, ISO/IEC 42001, or GDPR, and lets you download the result as Word or PDF, with no paywall and no sign-up.
Analysis details
Tell us your organization, describe what you do with AI today, and pick the framework to measure against. You get a structured gap analysis that marks each area ready, partial, or gap, ready to download as Word or PDF.
Organization
Compare against
Your current practices
Your analysis will appear here. Fill in the details on the left and select Generate analysis.
How the AI compliance gap analysis works
Describe your current practices
Enter your organization, describe what you do with AI today, and pick the framework you want to be measured against.
Run the analysis
The tool compares your described practices against the framework you chose and marks each area ready, partial, or gap, with suggested next steps. Results come back in seconds.
Download and confirm
Export the analysis as a PDF or an editable Word file, then confirm each gap against the framework with a qualified assessor before you rely on it.
Free, private, and grounded in real frameworks
Most gap-analysis tools sit behind a lead form or keep a copy of what you enter. This one asks for no sign-up and keeps nothing. Running the analysis needs a language model, so your details are sent to our server and processed there, then discarded. The comparison is worded against the framework you pick, whether that is the EU AI Act, the NIST AI RMF 1.0, ISO/IEC 42001, or the GDPR.
We built this from our own AI governance programme, not from a summary of the standard: see BlockSurvey's AI Policy for how we hold ourselves to the same frameworks.
Processed, never kept
Your details are processed securely to run the analysis and are never stored, sold, or used for training. Keep the form to organization-level descriptions and leave secrets, personal data, and PHI out.
No account required
No sign-up and no email wall. A fair-use rate limit is the only thing standing between you and the tool.
Free, real download
The complete analysis as an editable Word file or PDF at no cost, not a watermarked sample.
What the analysis includes
A structured read of your described practices against the framework you select, area by area:
- A short summary of how ready you are overall against the chosen framework.
- Each area marked ready, partial, or gap, qualitatively rather than as a numeric score.
- The specific gaps, in plain language, tied to the framework you picked.
- Suggested next steps you can prioritise, ordered by what closes the most risk.
- Where your current practices already line up, so you know what to keep.
- An advisory notice added to the end of the document, confirming this is not a certified audit.
Which framework should you compare against?
Pick the one that governs you. Some organizations run this analysis more than once, against each framework that applies, because the gaps they surface are different.
| Framework | What it is | Compare against it when |
|---|---|---|
| EU AI Act | A binding EU regulation that classifies AI systems by risk and sets obligations for each tier. | You build or deploy AI that reaches people in the EU. |
| NIST AI RMF 1.0 | A voluntary risk management framework from NIST, built on four functions: govern, map, measure, manage. | You want a recognised US-referenced way to reason about and govern AI risk. |
| ISO/IEC 42001 | A certifiable AI management-system standard, with plan-do-check-act clauses and Annex A controls. | You are heading toward certification or need to show evidence of a managed system. |
| GDPR | The EU data-protection regulation that governs personal data, including the data in and around your AI. | Your AI processes personal data and you need a lawful basis and Article 35 assessments. |
Built for every team working with AI
Whether you ship models or just bought your first AI tool, knowing where you stand against a framework is what lets you plan the work, brief a regulator, or answer a customer. This tool gives you a dated starting point, and it pairs well with an AI survey platform when the data you feed those systems comes from people.
Compliance & privacy teams
See where you stand against a framework before an audit, without starting from a blank page.
Legal & risk
Get a framework-aligned read of your gaps to confirm and prioritise, not a generic checklist.
Product & engineering
Know which controls to build next so your AI lines up with the framework that governs it.
Researchers & data teams
Check how your data provenance, privacy, and oversight measure up before you scale.
Startups adopting AI
Find the gaps enterprise buyers will ask about, and a plan for closing them.
Vendors selling into enterprise
Show buyers you know where you stand against the framework their procurement team cares about.
Your analysis just flagged how you handle personal data.
Closing a privacy gap only holds if the tools you collect data with honour it too. BlockSurvey is an AI survey platform, encrypted end to end, with a published AI policy you can cite in your own vendor assessment, so responses are never sold, mined, or used to train models.
