Services

End-to-End AI Governance

From risk assessment to audit readiness, we build governance programs that scale with your AI adoption.

EU AI Act Compliance

Risk classification, conformity assessments, and documentation requirements for AI systems under EU regulation.

AI Risk Management

Implement NIST AI RMF and ISO 42001 frameworks for systematic identification, assessment, and mitigation of AI risks.

Policy & Documentation

Acceptable use policies, model cards, data governance documentation, and AI system registries for audit readiness.

AI Security Controls

Technical controls for model access, prompt injection prevention, output filtering, and data leakage protection.

Audit & Certification

Prepare for SOC 2 with AI controls, ISO 42001 certification, and regulatory audits with complete evidence packages.

Board & Investor Reporting

Executive-level AI risk reporting, governance dashboards, and stakeholder communication frameworks.

Frameworks

Regulatory Coverage

Priority

EU AI Act

Full compliance support for all risk tiers, from prohibited practices identification through high-risk conformity assessments.

  • Risk classification
  • Conformity assessment
  • Technical documentation
  • Post-market monitoring

NIST AI RMF

Structured implementation of the Govern, Map, Measure, and Manage functions for AI risk management.

  • AI risk profiles
  • Impact assessments
  • Measurement frameworks
  • Continuous monitoring

SOC 2 + AI Controls

Extend your existing SOC 2 program with AI-specific trust service criteria and control objectives.

  • AI control mapping
  • Evidence collection
  • Auditor coordination
  • Gap remediation
Deliverables

Tangible Outcomes

Every engagement produces concrete artifacts that demonstrate compliance maturity and satisfy regulators, auditors, and board members.

AI system inventory and risk classification
EU AI Act gap analysis and remediation plan
AI acceptable use and governance policies
Model risk assessment frameworks
Human oversight and escalation procedures
Incident response playbooks for AI failures
Compliance evidence packages for auditors
Board-level AI governance reporting

Implementation Timeline

1

Week 1-2: AI Inventory

Catalogue all AI systems, classify risk levels, and identify regulatory obligations.

2

Week 3-4: Gap Analysis

Assess current state against EU AI Act, NIST AI RMF, and applicable frameworks.

3

Month 2: Policy Build

Draft governance policies, acceptable use guidelines, and oversight procedures.

4

Month 3: Audit Ready

Complete documentation, implement controls, and prepare evidence packages.

FAQ

Frequently Asked Questions

We help organizations comply with the EU AI Act, NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001 (AI Management Systems), SOC 2 with AI-specific controls, and emerging state-level AI legislation. We also assist with sector-specific requirements in financial services, healthcare, and government.

Yes. Under the EU AI Act, deployers of AI systems have distinct obligations including transparency, human oversight, and record-keeping. Even if you use off-the-shelf LLMs or AI SaaS products, you need governance processes to manage risk, document usage, and ensure compliance.

A foundational program can be established in 8 to 12 weeks. This includes an AI inventory, risk classification, initial policies, and oversight processes. Mature programs with full audit trails, automated monitoring, and board reporting typically take 3 to 6 months.

Absolutely. We integrate AI governance controls into your existing compliance frameworks rather than creating parallel programs. If you already have SOC 2, ISO 27001, or similar certifications, we extend them to cover AI-specific risks and requirements.