iDharma is an independent AI audit company. It reviews the AI systems organizations run and delivers a verified, standards-based report on whether their AI is accurate, fair, secure, and compliant — mapped to the EU AI Act, NIST AI RMF, and ISO/IEC 42001.

What does an iDharma AI audit cover?

An iDharma audit examines four dimensions of a live AI system — accuracy, fairness, security, and compliance — and returns a rating per dimension, evidence-backed findings, and a prioritized remediation roadmap. The scope is agreed and approved with you before any payment.

How is iDharma independent?

iDharma audits AI systems it did not build and holds no stake in the tools it reviews, so its findings are defensible to a board, a customer, or a regulator. An audit is a methodology-backed review — not a certification or a warranty.

Which standards does iDharma audit against?

iDharma maps findings to recognized frameworks including the EU AI Act, the NIST AI Risk Management Framework, ISO/IEC 42001, HIPAA, SOC 2, and India's DPDP Act — so every finding traces to a clause, not an opinion.

How do I request an AI audit?

Tell iDharma about your AI system through the Request an AI Audit form. Scope, timeline, and price are agreed up front, and nothing is charged until you approve the scope.

AI Insights for GENERAL & CROSS-SECTOR

AI Governance: Frameworks, Standards & Methodology

EU AI Act explained, NIST AI RMF in practice, and audit methodology — the foundational intelligence for any organization deploying AI in a regulated context.

3 frameworks

Every iDharma audit maps against NIST AI RMF, ISO/IEC 42001 and the EU AI Act simultaneously

Full coverage

1 gap register

One prioritized report, not three separate reviews

One engagement

1–4 weeks

Approved scope to a board-ready report

Typical turnaround

Most AI governance failures are not sector-specific. They stem from explainability gaps, undocumented training data, oversight mechanisms that exist on paper but not in practice, and accuracy claims that cannot withstand independent scrutiny. These cross-sector guides apply wherever AI makes consequential decisions about people.

⭐ Featured Insight

★ Featured METHODOLOGY NOTES

7 min read

🌐 General & Cross-Sector

What Is an AI Audit? Scope, Standards, and What You Get

An independent review of what your AI actually does, measured against a named standard — not a certificate, and not a review of what the documentation says it does.

📚 All General & Cross-Sector Insights

METHODOLOGY NOTES

How Much Does an AI Audit Cost? What Actually Drives the Number

Fixed prices, published turnarounds, and an honest account of the four things that decide which tier a system belongs in — including when the answer is "none of them yet".

METHODOLOGY NOTES

How to Prepare for an AI Audit: The Readiness Checklist

Six things to have ready before the engagement starts. Assembling them takes a fortnight off the clock — and tends to find the first two findings before an auditor does.

STANDARDS EXPLAINED

What an AI Governance Framework Actually Contains

Five working parts, not a policy document. What each one has to do, how to tell whether yours is real, and why a framework is not the same thing as compliance.

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