AI GOVERNANCE SERVICES
Gap Analysis & Response Plan
Service Overview
As AI regulations evolve, so must your governance frameworks. By aligning with standards like the EU AI Act, NIST AI RMF, organizations can bridge gaps in data governance, risk management, and operations. Our process ensures AI systems are not only compliant but deployed responsibly, with accountability and transparency.
Our Approach
Phase 1: AI System Understanding & Regulatory Alignment
We begin with a deep-dive assessment of your AI system, examining its intended use, functionality, and regulatory implications. This includes risk-based classification under the EU AI Act, determining whether the system falls under high-risk AI, general-purpose AI with systemic risk (GPAI), Regulatory mapping ensures alignment with GDPR, the AI Act, ISO 42001, NIST AI RMF, and other relevant frameworks, optimizing compliance and risk management.
Phase 2: Conformity Assessment & Risk Identification
This includes technical and algorithmic evaluations to assess fairness, robustness, transparency, and explainability. A data protection and security review ensures adherence to privacy regulations, cybersecurity best practices, and AI risk management frameworks. Impact assessments, such as Data Protection Impact Assessments (DPIA) and Fundamental Rights Impact Assessments (FRIA) maybe required to evaluate risks to fundamental rights, data privacy.
Phase 3: Compliance Implementation & Certification Readiness
A tailored action plan addresses identified gaps and ensures full regulatory compliance and AI governance maturity. Documentation and evidence collection establish accountable audit trails, while independent audits and pre-certification checks provide external validation for market entry and legal defensibility. Risk mitigation measures strengthen AI governance, bias control, and security protocols, ensuring systems meet ISO, NIST, and EU AI compliance benchmarks.
Phase 4: Establish Continuous Compliance & Post-Deployment Monitoring
Establish continuous compliance through proactive risk tracking, regulatory updates, and periodic AI audits. Post-deployment monitoring ensures that AI systems remain aligned with evolving legal, ethical, and security standards. If compliance risks arise, we provide rapid incident response strategies to maintain trust, accountability, and operational resilience.
Phase 5: Handover & Continuous Support (Optional)
Monitoring frameworks are established, the project is formally closed, and final documentation is provided. This phase includes conducting knowledge transfer sessions, outlining long-term AI compliance strategies, and ensuring governance continuity. Ongoing support can be provided upon request, including regulatory tracking, compliance updates.