AI Audit & Governance
The operational layer that turns AI ambition into AI you can defend in an audit — engineered for HIPAA, EU AI Act, ISO 42001, and the regulator who actually shows up.
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The Production Reality
Only 21% of organizations have a mature AI governance model. The other 79% will discover their governance gap the expensive way — through a failed audit, a regulator's inquiry, or the lawsuit that follows a model decision they can't defend. AI governance isn't a policy document. It's policy-as-code enforced at every commit, audit trails written to compliance-grade infrastructure, and a model risk framework your CISO can hand to the regulator with confidence. The QSS Thesis Most AI governance consulting produces PDFs. We produce running code. We engineer governance as production infrastructure — policy-as-code that fails the build, audit trails written at every inference, and risk frameworks that survive contact with the regulator. The day the auditor calls, you don't scramble. You hand them the evidence.
What QSS Delivers — 7 Dimensions of AI Governance
AI Risk Assessment & Classification
Inventory of every AI system in your organization, classified by risk tier per EU AI Act, NIST AI RMF, and industry-specific frameworks.
Model Risk Management Framework
Documented model lifecycle controls, drift monitoring, bias auditing, and re-validation cycles aligned to SR 11-7 and equivalents.
Regulatory Compliance Mapping
HIPAA AI Guidance, EU AI Act risk-tier classification, ISO 42001, NIST AI RMF, SR 11-7 banking, FDA SaMD healthcare.
Incident Response Playbook
What happens when the model misfires, the regulator calls, or the breach notification clock starts. Pre-written, pre-tested, pre-approved by legal.
The QSS Approach — A Phased Engagement
Phase 1: AI System Inventory & Risk Classification (Weeks 1–2)
Every AI system in your organization mapped. Risk tier assigned per relevant frameworks. Gap analysis against current governance posture.
Phase 2: Policy-as-Code Engineering (Weeks 3–5)
Governance policies encoded into automated controls. PR-time checks, deployment gates, and inference-time validation. Tested in CI before production rollout.
Phase 3: Audit Trail & Observability Build (Weeks 4–7)
Immutable audit-trail infrastructure deployed. Every inference logged. Dashboards built for compliance, security, and incident response teams.
Phase 4: Regulatory Documentation & Readiness (Weeks 6–10)
Conformity assessments, validation documents, model cards, and incident response playbooks produced — in the format the regulator expects.
Phase 5: Production Deployment & Handover (Weeks 8–12)
Governance infrastructure live across all AI systems. Internal teams trained on incident response. Quarterly re-audit schedule established.
Engagement Options
| Tier | Duration | Investment | Best For |
|---|---|---|---|
| Governance Audit | 3–4 weeks | $30K–$60K | Existing AI systems needing audit posture review |
| Standard Engagement | 6–10 weeks | $60K–$150K | Single AI system + single jurisdiction |
| Enterprise Engagement | 10–12 weeks | $150K–$250K | Multi-system, multi-jurisdiction enterprise |
Industry Applications
Industry
What QSS Engineers
Healthcare
HIPAA + FDA SaMD audit trails, PHI handling at inference, clinical-safety validation cycles
Banking & Financial Services
SR 11-7 model risk documentation, regulator-ready evidence packs, fraud-model validation
Insurance
EU AI Act risk-tier classification, transparency reports, conformity assessment readiness
Pharma & Life Sciences
21 CFR Part 11 audit trails, validation cycles, predetermined change-control plans
Why QSS for AI Audit & Governance
ISO 27001, CMMI Level 3, AWS Advanced Tier Services Partner
the certifications we hold are the ones we audit against
40+ HIPAA-compliant healthcare deployments already in production
Engineers, not policy writers
governance engineers who can read regulation AND ship code
15+ years of regulated-industry delivery (healthcare, BFSI, insurance, pharma)
Vendor-neutral
we don't sell governance software, we engineer governance into your stack
Frequently Asked Questions
An AI audit is a point-in-time review; AI governance is the ongoing system that makes audit findings predictable. QSS engineers governance so that every audit produces the same answer: yes, compliant, here's the evidence.
Yes — and "not regulated" is becoming a smaller category every quarter. EU AI Act applies to any AI system used in the EU regardless of where it's built. State-level US regulations (Colorado, California, Texas) now cover hiring, lending, and insurance AI.
3–12 weeks depending on scope. Governance Audit only: 3–4 weeks. Single AI system + jurisdiction: 6–10 weeks. Multi-system enterprise: 10–12 weeks. Ongoing quarterly governance: lower investment.
Yes — every deliverable is engineered to the documentation standard the relevant regulator expects. EU AI Act conformity packs, FDA SaMD validation cycles, HIPAA audit trails, SR 11-7 model risk documentation. We work backward from the audit, not forward from the policy.
Yes — QSS governance engineering wraps around your existing AI vendors (OpenAI, Anthropic, Google Vertex AI, Bedrock, internal LLMs). We don't require vendor switches. We require vendor-neutral audit trails and policy-as-code controls.
$30K–$250K depending on tier and scope. Governance Audit: $30K–$60K. Standard: $60K–$150K. Enterprise: $150K–$250K. Ongoing quarterly governance retainers: $15K–$40K per quarter. Build the Governance Layer Before the Regulator Calls Book a 30-minute conversation with QSS's senior governance engineers. We'll review your current AI footprint, identify the frameworks you should be readying for, and outline what a 6–12 week engagement would deliver. Book a 30-Min Governance Review →
Ready to Defend Your AI in an Audit?
Let's turn AI governance into running code — policy-as-code, audit trails, and model-risk frameworks your regulator can trust.
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