Question 1

What do I need to show investors for AI governance due diligence?

Accepted Answer

Investors typically require a structured AI compliance document that maps your AI systems against recognised regulatory frameworks including EU AI Act, NIST AI RMF, ISO 42001, and SOC 2. The document should include specific findings, regulatory citations, legal exposure estimates, and a remediation roadmap. AuditPulse generates this document in 4 minutes for $500.

Question 2

Does the EU AI Act apply to US companies?

Accepted Answer

Yes. The EU AI Act applies to any company whose AI systems affect users in the EU regardless of where the company is incorporated. A US company with EU customers is fully in scope for EU AI Act obligations. The enforcement deadline for high-risk AI systems is December 2, 2027.

Question 3

What is the fastest way to get an AI compliance report?

Accepted Answer

AuditPulse delivers a board-ready AI compliance report in 4 minutes. Answer 7 questions about your AI stack, pay $500, and receive a PDF with specific regulatory citations, legal exposure estimates, and a remediation roadmap. No sales call required.

Question 4

How much does an AI compliance audit cost?

Accepted Answer

Traditional AI compliance consultants charge $10,000 to $80,000 per engagement. AuditPulse costs $500 for a Standard Audit or $1,500 for a Verified Audit, delivered in 4 minutes with no sales call required.

Question 5

What is the difference between EU AI Act compliance and SOC 2?

Accepted Answer

SOC 2 covers general security and data protection controls. EU AI Act specifically governs AI systems used in high-risk categories including credit, hiring, healthcare, education, and law enforcement. AuditPulse maps against both simultaneously along with NIST AI RMF and ISO 42001.

Start With Your Diagnostic

Are your training datasets verifiably free of copyrighted or highly protected PII without explicit consent?

Do you maintain an immutable record of data lineage for your core inference model?

Can your system automatically explain the rationale behind an AI-driven decision to an end-user?

Has it been more than 12 months since your last formal AI risk assessment?

Start With Your Diagnostic

Are your training datasets verifiably free of copyrighted or highly protected PII without explicit consent?i

Do you maintain an immutable record of data lineage for your core inference model?i

Can your system automatically explain the rationale behind an AI-driven decision to an end-user?i

Has it been more than 12 months since your last formal AI risk assessment?i

Are your training datasets verifiably free of copyrighted or highly protected PII without explicit consent?

Do you maintain an immutable record of data lineage for your core inference model?

Can your system automatically explain the rationale behind an AI-driven decision to an end-user?

Has it been more than 12 months since your last formal AI risk assessment?