Model & System Inventory
A complete record of every AI model, custom GPT, agent, and automation your organization uses — who owns it, what it touches, and where your data flows.
AI Compliance Frameworks, Regulatory Readiness & Ethical Oversight
AI Governance Auditing
An independent audit of how your organization builds, buys, and runs AI — mapped to the frameworks regulators and enterprise buyers expect.
AI now sits inside hiring, customer service, finance, and everyday operations. Auditors, regulators, and enterprise customers increasingly ask the same question: can you show how your AI is governed?
An AI governance audit answers that question with evidence, not promises. SCDA reviews your AI systems, policies, and data practices against recognized frameworks, then delivers a written report your leadership, legal team, and customers can rely on.
Scope of the Audit
What We Examine
Six areas that determine whether your AI can withstand scrutiny.
Access & Accountability
Review of who can approve, deploy, or override AI outputs, so responsibility for every decision your AI assists is clear and documented.
Data Governance
What data your AI collects, stores, and shares — with checks for personal information exposure, retention practices, and vendor data handling.
Auditability & Documentation
Decision logs, evaluation records, and reproducible evidence that show how your AI behaves — the paper trail regulators and enterprise buyers ask for.
Compliance Framework Alignment
Your controls mapped against recognized frameworks so gaps are visible and fixes are prioritized.
Ethical Oversight
Human review checkpoints, disclosure practices, and responsible-use rules that keep people in charge of what your AI does.
Framework Alignment
Recognized Standards, Practical Mapping
We map your controls to the frameworks your customers and regulators actually reference.
NIST AI Risk Management Framework
Organized around governance, mapping, measurement, and management — the baseline most U.S. enterprise and public-sector buyers recognize.
ISO/IEC 42001
The international standard for AI management systems, used to demonstrate a documented, repeatable governance program.
EU AI Act Readiness
Risk classification and documentation practices for organizations that sell into or operate in the European Union.
Internal Responsible-Use Policy
Your own rules for how staff use generative AI — aligned with your industry's obligations and disclosure expectations.
Framework alignment is mapped and documented during the audit — SCDA is not a certification body, and we tell you plainly where third-party certification is the right next step.
How It Works
From First Call to Final Report
1. Discovery
A short call to map your AI footprint: which systems you build, buy, or plug into, and what decisions they influence.
2. Governance Review
We review policies, access, data flows, and documentation against recognized AI governance frameworks.
3. Testing & Evidence
Hands-on checks of your AI systems — including prompt-injection and data-exposure testing drawn from our breach audit practice.
4. Report & Roadmap
A written governance report with a gap register, framework alignment checklist, and a prioritized remediation roadmap.
What You Receive
- Written AI governance report for leadership and legal review
- Gap register ranked by severity and business risk
- Framework alignment checklist (NIST AI RMF, ISO/IEC 42001, EU AI Act)
- Prioritized remediation roadmap your team can execute
- Optional re-audit to confirm fixes before you share results
Common Questions
AI Governance Audit FAQ
Who helps with AI governance and model auditability?
SCDA works with small and mid-sized organizations that use AI but don't have a governance team. We audit your systems, document what regulators and enterprise buyers expect to see, and hand you a roadmap your team can act on — no in-house AI expertise required.
What audit evidence do regulators expect for AI data governance?
In practice, reviewers look for a documented inventory of AI systems, records of what data goes in and out, access and approval logs, retention and disposal policies, and evaluation results showing how outputs were tested. Our audit produces exactly this evidence set.
Is a governance audit different from a security audit?
Yes. A security audit asks whether your AI can be attacked or leak data. A governance audit asks whether your organization can prove its AI is being used responsibly, lawfully, and as documented. SCDA offers both, and most clients start with governance to establish the baseline.
Ready for an AI governance audit?
Tell us what AI systems you run today. We'll scope the audit and give you a clear picture of where you stand.
Request an AI Audit