AI Governance & Compliance
Trusted & Certified
Most companies treat AI governance like a compliance checkbox. It isn’t. A real AI governance program has six layers working together:
1. AI Inventory and Risk Classification You need to know what AI systems you have before you can govern them. Every system gets catalogued and assigned an EU AI Act risk tier: prohibited, high-risk, limited, or minimal.
2. Regulatory Compliance Framework EU AI Act conformity documentation, NIST AI RMF alignment, and ISO 42001 AI Management System implementation. These three frameworks overlap. We implement all three simultaneously at lower cost than managing them separately.
3. Technical Controls Bias testing pipelines, SHAP/LIME explainability APIs, human-in-the-loop oversight mechanisms, and automated monitoring. These are implemented as code, not recommendations.
4. Governance Operating Model An AI governance council, model risk register, RACI frameworks, and escalation procedures. The organizational structure that makes governance sustainable long-term.
5. Documentation Technical documentation, model cards, data governance sheets, and conformity assessments for high-risk AI. Written for regulators, not for internal audiences.
6. Ongoing Operations Continuous bias drift monitoring, regulatory change alerts, quarterly reviews, and incident response playbooks. Governance is an ongoing function, not a one-time project.
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
Comparison
Implement all three simultaneously. EU AI Act gives you legal compliance. NIST AI RMF gives you risk management depth. ISO 42001 gives you certification-ready governance for procurement. The combined program costs less than managing each framework separately, and provides complete coverage.
EU AI Act: Enforce Now
High-risk AI systems, credit scoring, hiring, diagnostics, biometric identification, must have conformity assessments, technical documentation, human oversight, and EU database registration. National supervisory authorities are operational. Non-compliant deployments carry immediate enforcement risk, not future deadline exposure.
Shadow AI Exposure
Employees using unsanctioned AI tools on customer, patient, or employee data generate silent GDPR violations, IP leakage, and SR 11-7 model risk failures. The organisation has no visibility. Regulators will gain it through breach investigation or supervisory review.
No Explainability Layer
ML models driving loan approvals, insurance underwriting, hiring, or clinical recommendations without SHAP/LIME explainability violate GDPR Article 22 and SR 11-7 validation standards. Each unexplained automated decision is a discrete litigation exposure. Aggregate risk compounds with every execution cycle.
Article 14 Override Gap
EU AI Act Article 14 mandates unconditional operator override capability for all high-risk AI systems. Fully automated pipelines lacking configurable human-in-the-loop controls are non-compliant by design. Remediation requires architecture changes, not documentation updates.
No AI Incident Plan
Discriminatory outputs, adversarial attacks, model hallucinations, and data breaches without AI-specific incident response playbooks result in uncontrolled regulatory exposure and open class-action litigation windows. Every uncontained incident escalates to a crisis by default.
€35M
Max EU AI Act fine, or 7% of global annual turnover
73%
Enterprises without a formal AI governance framework (Gartner, 2025)
85%
AI projects without bias and fairness testing
Our recommendation
Implement all three simultaneously. EU AI Act gives you legal compliance. NIST AI RMF gives you risk management depth. ISO 42001 gives you certification-ready governance for procurement. The combined program costs less than managing each framework separately, and provides complete coverage.
AI Governance Framework Design
We build governance frameworks tailored to your AI portfolio, industry, and regulatory exposure. Each framework covers AI council structure, model risk register, escalation procedures, RACI accountability mapping, policy library, and a governance KPI dashboard. All outputs align simultaneously to EU AI Act, NIST AI RMF, and ISO 42001.
EU AI Act Compliance Program
We deliver full EU AI Act implementation. Every AI system is classified against Annex III criteria. We run ALTAI assessments, produce conformity assessment reports, and build complete Annex IV technical documentation packages ready for regulatory review. We also handle EU AI database registration and EU representative designation for non-EU organisations deploying AI to EU markets.
NIST AI RMF Implementation
We build structured GOVERN, MAP, MEASURE, and MANAGE implementations. Deliverables include AI risk registers with documented organisational risk tolerance, AI profiles for every system, risk response playbooks, and integration with enterprise ERM frameworks. This creates the compliance foundation for SR 11-7 in banking, FDA SaMD for medical devices, and HIPAA for healthcare AI.
ISO/IEC 42001 AI Management System
We run full ISO 42001 implementation from gap analysis to a certification-ready audit package. We draft AI policy documentation, implement AI risk assessment processes, define AI objectives, deploy Annex A operational controls, and prepare complete evidence packages for accredited certification body review. Existing ISO 27001 or ISO 9001 management systems are mapped to ISO 42001 to eliminate redundant effort.
AI Bias and Fairness Auditing
We run disparate impact analysis across gender, race, age, disability, and other protected attributes using the EEOC 80% rule, chi-square tests, and counterfactual fairness analysis. Per-cohort performance breakdowns are delivered with a full remediation pathway and signed audit trail documentation that holds up to regulatory scrutiny.
Explainable AI (XAI) Implementation
We integrate SHAP and LIME to produce per-prediction explanations at production scale. Deliverables include natural language explanation generation for consumer-facing outputs, a GDPR Article 22 Right-to-Explanation portal, and counterfactual explanation APIs for adverse action notices. Target explanation latency is under 200ms P99.
Human-in-the-Loop (HITL) System Design
We architect and implement human oversight mechanisms that satisfy EU AI Act Article 14. Systems include configurable confidence thresholds triggering human review, manual override interfaces, SLA-monitored review queues, immutable time-stamped decision recording, and active learning feedback loops to model retraining.
AI Governance Operating Model and Council Design
We design council membership across CAIO, Legal, Risk, Engineering, and Business leads with defined decision rights, meeting cadence, and escalation paths. We build the model risk register with owner assignments and map RACI accountability for every AI system lifecycle stage, producing governance that scales with the portfolio.
Model Risk Management (SR 11-7 / SS1/23)
We implement OCC/Fed SR 11-7 and PRA SS1/23 model risk management frameworks for financial services organisations. Deliverables cover model inventory with tiered risk ratings, validation procedures, independent review processes, challenger model methodology, outcomes analysis, and ongoing performance monitoring structured for regulatory examination.
AI Red Teaming and Adversarial Safety Testing
We run structured adversarial evaluation covering prompt injection, jailbreak testing, data poisoning simulation, model inversion, membership inference attacks, hallucination rate benchmarking, and output toxicity evaluation. We deliver an OWASP LLM Top 10 risk assessment and remediation report, and run red team exercises against governance portals and AI APIs.
Continuous AI Performance and Compliance Monitoring
We build automated monitoring pipelines tracking data drift, concept drift, model performance degradation, bias drift across demographic groups, and regulatory threshold breaches. Alerting dashboards and incident auto-classification feed directly into EU AI Act Article 15 serious incident reporting workflows without manual intervention.
EU AI Act Technical Documentation and Model Cards
We produce all EU AI Act Article 11 technical documentation: system description, risk classification evidence, design specifications, training data governance, validation results, conformity assessment reports, post-market surveillance plans, and model cards for public transparency. All documents are version-controlled and written to the standard national supervisory authorities expect.
AI Data Governance and Data Quality Framework
We implement EU AI Act Article 10 data governance requirements covering training data quality management, data lineage documentation, bias analysis of training datasets, personal data minimisation for GDPR compliance, and synthetic data generation for bias mitigation. Data governance and AI governance are built as one integrated system within enterprise data mesh architectures.
AI Incident Response Plan and Playbooks
We build AI-specific incident response frameworks covering 12 incident types including bias, safety, adversarial attack, hallucination, and privacy breach. Each playbook includes detection and triage procedures, escalation paths, EU AI Act Article 73 serious incident notification workflow for the 15-day deadline, and GDPR 72-hour breach notification coordination.
Third-Party AI Vendor Risk Assessment
We build due diligence frameworks for AI vendor and tool procurement covering EU AI Act deployer obligation assessment, vendor conformity documentation review, contractual AI governance requirements, shadow AI detection, and AI procurement security questionnaires. Deployer obligations under the EU AI Act remain active regardless of vendor claims.
ROI & Value
Responsible AI governance is not a cost center. It is risk management that pays for itself before you factor in brand protection and procurement wins.
Performance Impact
vs. per violation - or 7% of global annual turnover, whichever higher
vs. for non-compliant automated processing under Article 22
vs. cost of regulatory-mandated model suspension and remediation program
vs. typical enterprise AI governance program - all-in fixed scope
vs. fine avoidance vs. governance investment, conservative estimate
vs. enterprise contracts won by clients citing ISO 42001 certification in RFPs
EU AI Act Fine Avoidance
High-risk AI system conformity prevents maximum penalties from national AI supervisory authorities. A single enforcement action can exceed the entire governance program cost by 50-100x.
SR 11-7 Model Risk Prevention
Proactive governance prevents costly regulatory-mandated model suspension, emergency validation, and risk management remediation orders from OCC/Fed examiners.
GDPR Art. 22 Litigation Avoidance
Explainability controls and right-to-explanation compliance prevent class-action litigation from automated decision-making affecting consumers at scale.
Procurement Differentiation
ISO 42001 certification and EU AI Act compliance documentation are becoming mandatory requirements in enterprise AI vendor RFPs - particularly in financial services, healthcare, and public sector.
Bias Incident Reputational Protection
Preventing public bias incidents (discriminatory hiring AI, biased credit decisions) protects brand equity, customer trust, and board confidence worth many multiples of governance program cost.
14 specialized governance capabilities covering regulatory compliance, technical AI safety controls, and operational governance infrastructure - all delivered by engineers and regulatory specialists, not generalists.
EU AI Act Compliance Program
Comprehensive EU AI Act implementation: Annex III risk tier classification for every AI system, ALTAI assessment checklist, conformity assessment reports, technical documentation packages (Article 11), data governance documentation (Article 10), post-market surveillance design, EU AI Act database registration, and EU representative designation for non-EU organizations.
NIST AI RMF Implementation
Structured GOVERN, MAP, MEASURE, MANAGE implementation with AI risk register, organizational risk tolerance documentation, AI profiles for each system, risk response playbooks, and integration with enterprise ERM frameworks.
ISO/IEC 42001 AI Management System
Full ISO 42001 implementation: AI policy drafting, AI risk assessment process, AI objectives setting, operational controls for AI development, AI performance evaluation, and certification-ready audit preparation with accredited certification bodies.
AI Bias & Fairness Auditing
Disparate impact analysis across gender, race, age, disability, and other protected attributes. Statistical significance testing using EEOC 80% rule and chi-square tests. Counterfactual fairness analysis. Per-cohort performance breakdown with remediation pathway and audit trail documentation.
Explainable AI (XAI) Implementation
SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) integrations producing per-prediction explanations. Natural language explanation generation for consumer-facing outputs. Right-to-Explanation portal for GDPR Article 22 compliance. Counterfactual explanation APIs for adverse action notices.
AI Governance Operating Model & Council Design
AI governance council structure design: membership (CAIO, Legal, Risk, Engineering, Business leads), meeting cadence, decision rights, and escalation paths. Model risk register design with risk owner assignment. AI RACI framework mapping accountability for every AI system lifecycle stage. AI policy library covering acceptable use, third-party AI, data quality, and model change management.
Model Risk Management (SR 11-7 / SS1/23)
OCC/Fed SR 11-7 and PRA SS1/23 model risk management framework implementation: model inventory with tiered risk rating, model validation procedures, independent model review, challenger model methodology, outcomes analysis, ongoing performance monitoring, and regulatory examination preparation.
AI Red Teaming & Adversarial Safety Testing
Structured adversarial evaluation of AI systems: prompt injection attacks, jailbreak testing, data poisoning simulation, model inversion attacks, membership inference attacks, hallucination rate benchmarking, and output toxicity evaluation. Produces OWASP LLM Top 10 risk assessment and remediation report.
Human-in-the-Loop (HITL) System Design
Architecture and implementation of human oversight mechanisms compliant with EU AI Act Article 14: configurable confidence thresholds triggering human review, manual override interfaces, human review queue management, decision recording and audit logs, feedback loop implementation, and performance monitoring of human review outcomes.
Continuous AI Performance & Compliance Monitoring
Automated monitoring pipelines for data drift (PSI, KS test), concept drift (DDM, ADWIN), model performance degradation, bias drift across demographic groups, and regulatory threshold breaches. Alerting dashboards, incident auto-classification, and regulatory notification triggering for EU AI Act Article 15 serious incident reporting.
EU AI Act Technical Documentation & Model Cards
Production of all EU AI Act Article 11 technical documentation: system description, risk classification evidence, design specifications, training data governance documentation, validation testing results, conformity assessment reports, post-market surveillance plan, and model cards for public transparency. Maintained as living documents with version control.
AI Data Governance & Data Quality Framework
EU AI Act Article 10 data governance requirements implementation: training data quality management, data lineage documentation, bias analysis of training datasets, personal data minimization for GDPR compliance, synthetic data generation for bias mitigation, and data governance policy integration with enterprise data mesh architectures.
AI Incident Response Plan & Playbooks
AI-specific incident response framework: incident taxonomy (bias incident, safety incident, adversarial attack, hallucination incident, privacy breach), detection and triage procedures, escalation paths, EU AI Act Article 73 serious incident notification (15-day deadline), GDPR 72-hour breach notification coordination, post-incident root cause analysis, and governance council review process.
Third-Party AI Vendor Risk Assessment
Due diligence framework for AI vendor and tool procurement: EU AI Act deployer obligation assessment, vendor conformity documentation review, contractual AI governance requirements, shadow AI detection and policy enforcement, AI procurement security questionnaire, and ongoing third-party AI monitoring integrated with vendor risk management programs.
The Evolution
Case Study
Top-20 European Banking Group
Financial Services
The Challenge
A major European bank faced EU AI Act enforcement with 24 production AI systems - including credit scoring, AML transaction monitoring, and automated customer service - operating without conformity documentation, human oversight mechanisms, or bias testing. Legal teams were blocked by technical complexity, and internal AI teams lacked governance expertise. The bank had 16 weeks to remediation before a scheduled regulatory review by their national AI supervisory authority.
Our Solution
Ment Tech deployed a 4-stream parallel governance program: (1) EU AI Act risk classification for all 24 systems using ALTAI assessment, identifying 8 high-risk systems requiring full conformity documentation; (2) Technical controls implementation - SHAP explainability APIs for credit decisions, HITL human review queues for AML alerts with <2-hour SLA, and automated bias monitoring across 6 demographic attributes; (3) Annex IV technical documentation packages produced for all 8 high-risk systems including training data governance, validation results, and post-market surveillance plans; (4) AI governance council activated with model risk register populated for all 24 systems and quarterly review calendar established.
24 EU AI Act risk tier assigned to every production system
AI Systems Classified
8 Systems Complete Annex IV documentation before enforcement review
High-Risk Conformity Docs
Live SHAP explanations for every credit decision - GDPR Art. 22 compliant
Explainability API
€35M Maximum EU AI Act penalty exposure eliminated
Fine Exposure Mitigated
Passed National supervisory authority review completed with zero major findings
Regulatory Review
Operational Full governance council active by Week 12 with ongoing monitoring
Governance Council
See Our AI Solutions in Action
Get a personalised live demo tailored to your exact use case - built by the same engineers who will work on your project.
Technical Architecture
Central registry of all AI systems with EU AI Act risk tier, NIST AI RMF profile, and regulatory status. Includes model card repository, version history and change log, owner and deployment context documentation, data lineage mapping, regulatory approval workflow, and EU AI database registration status.
Statistical testing for discriminatory outcomes and training data quality enforcement. Disparate impact analysis using the 80% rule. Group fairness metrics: demographic parity, equalized odds. Protected attribute testing across gender, race, age, and disability. Counterfactual fairness analysis. Training data quality validation with Great Expectations. Synthetic data generation for bias mitigation. Per-cohort performance dashboard with remediation tracking.
Per-prediction explanation generation and right-to-explanation compliance portal. SHAP TreeExplainer and DeepExplainer. LIME tabular and text explainers. Natural language explanation generator. GDPR Article 22 Right-to-Explanation Portal. Adverse action notice API. Counterfactual explanation engine. Immutable explanation audit log. Explanation latency monitoring, target under 200ms P99.
EU AI Act Article 14 compliant HITL controls for high-risk AI. Configurable confidence threshold per system. Human review queue management. Override and intervention interface. Escalation trigger rules engine. Time-stamped, immutable decision recording. Human reviewer performance tracking. Feedback loop to model training. HITL SLA monitoring dashboard.
Automated drift detection, bias monitoring, and regulatory change management. Data drift via PSI and KS tests. Concept drift detection via DDM and ADWIN. Bias drift monitoring per demographic group. Performance degradation alerts. Regulatory change feed for EU AI Act and NIST updates. Anomaly detection via Isolation Forest. EU AI Act Article 73 serious incident trigger. Quarterly governance review automation.
AI incident taxonomy covering 12 incident types. Detection and triage automation. EU AI Act Article 73 notification workflow (15-day SLA). GDPR Article 33 72-hour breach notification. Root cause analysis templates. Immutable governance audit trail. Regulatory correspondence archive. Board-level governance reporting.
A deployment-ready enterprise stack built for secure on-premise AI.
AI Frameworks & Libraries (12)
ML Infrastructure & Cloud (10)
Foundation LLM Models (8)
Business Integrations
Credit scoring, AML transaction monitoring, fraud detection, and customer service AI all fall under high-risk EU AI Act classification. We implement simultaneous EU AI Act conformity and SR 11-7 model risk management, classifying every AI system, building explainability APIs for credit decisions, deploying HITL controls for AML alerts, and activating a governance council.
Diagnostic AI, clinical decision support, and patient data processing require both EU AI Act Annex III high-risk classification and FDA SaMD governance documentation. We implement both simultaneously, including HIPAA-compliant data governance, post-market surveillance design, and clinical validation protocols producing Notified Body conformity sign-off.
Insurance: Bias Audit + Explainability for Underwriting AI
Underwriting algorithms, claims processing, and risk scoring AI carry significant disparate impact exposure. We run full bias audits across protected attributes, integrate SHAP explanation for adverse underwriting decisions, and align governance with state insurance regulatory requirements.
HR Technology: EEOC-Compliant Hiring AI Governance
Hiring algorithm bias audits covering gender and race disparate impact analysis, counterfactual fairness testing, retraining with fairness constraints, and EEOC documentation packages. Ongoing monitoring triggers human review on borderline candidate scores automatically.
Government: Federal AI Ethics Framework
Algorithmic impact assessments, citizen-facing AI transparency portals, AI ethics board setup, human oversight requirements for citizen service AI, and alignment with Executive Order 14110 AI governance requirements.
Retail and E-Commerce: Recommendation AI Governance
EU AI Act limited-risk classification with transparency disclosure. GDPR Article 22 opt-out mechanism. Demographic fairness monitoring for recommendation diversity. Shadow AI program covering unauthorized employee AI tool usage.
Complete AI regulatory coverage across all major frameworks and jurisdictions - EU AI Act, NIST AI RMF, ISO 42001, SR 11-7, FDA SaMD, and emerging state AI laws.
European Union
United States
United Kingdom
Singapore
UAE
Canada
Australia
EU AI Act
NIST AI Risk Management Framework
ISO/IEC 42001
GDPR Article 22
SOC 2 Type II
OWASP LLM Top 10
CDEI AI Governance
MAS AI Guidelines
AI/ML security assessments
AI model security platform
AI risk management
AI red teaming services
Enterprise AI security
LLM API security testing
Enterprise-Grade Security
Bank-level encryption and compliance standards
256-bit AES encryption
99.99% Uptime SLA
24/7 Monitoring
Get Your Tailored Project Quote
Share your requirements and receive a detailed technical proposal with transparent pricing within 48 business hours.
We deliver operational AI governance programs in 8-16 weeks.
AI System Inventory and Shadow AI Discovery (Weeks 1-2)
Identify every AI system in production, development, and procurement, including shadow AI tools used by employees. Build a complete AI system map with data flows, decision types, and stakeholder owners.
EU AI Act Risk Classification and Gap Analysis (Weeks 2-4)
Classify every AI system against EU AI Act Annex III criteria. Identify compliance gaps with a prioritized remediation roadmap.
Governance Framework Architecture Design (Weeks 3-6)
Design AI governance operating model including council structure, RACI framework, model risk register schema, AI policy library, escalation procedures, and governance KPI dashboard.
Technical Controls Implementation (Weeks 5-10)
Implement bias testing pipelines, SHAP/LIME explainability APIs, human oversight mechanisms, automated monitoring dashboards, and model inventory systems integrated into your MLOps environment.
EU AI Act Technical Documentation Production (Weeks 6-12)
Produce complete Annex IV technical documentation packages including system description, risk assessment, training data governance, validation testing results, conformity assessment, and post-market surveillance plan.
NIST AI RMF and ISO 42001 Alignment (Weeks 8-13)
Implement NIST AI RMF profiles with risk tolerance documentation and map controls to ISO 42001 Annex A requirements. Prepare a certification-ready audit evidence package.
AI Incident Response Plan Deployment (Weeks 10-14)
Deploy AI-specific incident response playbooks covering multiple incident types, escalation procedures, EU AI Act Article 73 notification workflow, and GDPR 72-hour breach integration. Conduct tabletop exercises.
Governance Council Activation and Team Training (Weeks 12-16)
Activate AI governance council with formal review sessions. Train AI risk owners, ML engineers, legal, and compliance teams, and establish ongoing monitoring cadence with quarterly reviews.
AI Compliance Sprint: 4 Weeks
Rapid compliance assessment. Complete EU AI Act risk classification for all AI systems. Compliance gap analysis. NIST AI RMF maturity assessment. Prioritized remediation roadmap with cost and timeline estimates.
Organisations needing immediate clarity on EU AI Act exposure before a regulatory review, audit, or procurement requirement.
Governance Framework Build: 12 to 16 Weeks
End-to-end AI governance program. Policies, technical controls, EU AI Act conformity documentation, governance council activation, NIST AI RMF alignment, ISO 42001 readiness, and team training, all delivered as a unified program.
Organizations ready to implement a full AI governance program ahead of EU AI Act enforcement, a regulatory audit, or ISO 42001 certification.
Ongoing Governance Retainer: Continuous Operations
Continuous AI governance operations for organizations with an operational program maintaining compliance as their AI portfolio grows and regulations evolve.
Organizations with operational AI governance programs maintaining compliance as their AI portfolio grows and regulations evolve.
Included in Every Engagement
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Book a free 60-minute AI compliance assessment. We'll classify your highest-risk AI systems against EU AI Act Annex III criteria, quantify your regulatory exposure, and give you a clear prioritised roadmap to compliance - in one session, no commitment required.