LegelpTech provides AI governance consulting that helps organizations build the guardrails needed to deploy AI confidently across regulated environments and high-stakes decisions. We design governance frameworks mapped to international standards, navigate evolving AI regulations, audit models for bias and fairness, and embed compliance controls directly into ML pipelines.
AI Policy & Framework Development
Comprehensive AI governance frameworks with ethics policies, model documentation standards aligned with ISO/IEC 42001, and NIST AI RMF alignment.
Regulatory Compliance
EU AI Act readiness assessments, GDPR data processing impact analysis for AI systems, and FDA SaMD compliance for healthcare AI.
AI Risk Assessment & Auditing
Bias detection, fairness testing across protected groups, model explainability implementation (SHAP, LIME), and adversarial robustness testing.
MLOps Governance Integration
Model versioning and lineage tracking, automated compliance checks in CI/CD pipelines, drift detection, and audit trails.
How We Deliver
AI System Inventory
Catalog all AI systems, classify risk levels, and map current governance maturity across your organization.
Framework Design
Design governance policies, risk assessment processes, and compliance controls tailored to your industry and regulatory requirements.
Implementation & Tooling
Deploy governance tools, embed compliance checks into ML pipelines, and implement automated monitoring and audit trails.
Training & Rollout
Train teams on governance processes, conduct initial audits, and establish ongoing review cadence for continuous compliance.
Common Questions
What is AI governance and why does my company need it?
AI governance is a structured framework of policies, processes, and controls that ensures your AI systems operate ethically, transparently, and in compliance with regulations. Without governance, organizations face regulatory penalties, reputational damage from biased outputs, and operational risks from unmonitored models.
How does LegelpTech help with EU AI Act compliance?
We conduct a full AI system inventory and risk classification against EU AI Act categories, then build compliance roadmaps covering documentation requirements, conformity assessments, and ongoing monitoring obligations. We implement technical controls for high-risk AI systems including transparency measures and human oversight mechanisms.
What does an AI risk assessment involve?
Our AI risk assessments evaluate model fairness across protected attributes, test for adversarial vulnerabilities, measure explainability gaps, and score overall system risk. We use automated bias detection tools alongside manual review of training data, model architecture, and deployment context.
How long does it take to implement an AI governance framework?
A foundational AI governance framework typically takes 8-12 weeks to design and implement, covering policy creation, risk classification, and initial tooling setup. Full organizational rollout including training and automated compliance checks usually takes 4-6 months.
Can you audit our existing AI systems for bias and compliance?
Yes. We perform comprehensive AI audits that evaluate your existing models for statistical bias, fairness violations, explainability gaps, and regulatory compliance issues. Each audit produces a detailed report with risk scores, remediation recommendations, and a prioritized action plan.
Ready to Get Started?
Let's discuss how our ai governance & compliance consulting can help your business.