AI Governance & Ethics

Govern AI systems
with AI-native oversight.

Remedy's 8-agent AI Governance fleet (roadmap) provides automated oversight of AI/ML systems — monitoring for bias, enforcing explainability, managing model risk, and maintaining compliance with the EU AI Act, NIST AI RMF, and emerging global AI regulations.

8
AI Governance Agents (Roadmap)
6 P1
Priority 1 Agents
4
EU AI Act Risk Levels
MRM
Integration with Model Risk Mgmt
8 AI Governance Agents

Every dimension of responsible AI. Automated and auditable.

P1

AI Model Bias Detection Agent

Continuously monitors AI/ML model outputs for disparate impact across protected attributes. Applies four-fifths rule and statistical significance testing, and triggers retraining when thresholds are breached.

P1

AI Risk Assessment Agent

Classifies all organizational AI systems by risk level (Unacceptable, High, Limited, Minimal) per EU AI Act framework, and generates conformity assessment documentation.

P1

EU AI Act Compliance Agent

Monitors compliance across the full AI lifecycle — conformity assessments, CE marking, post-market monitoring, and serious incident reporting.

P1

AI Explainability Agent

Generates human-readable explanations for AI model decisions — feature importance, counterfactual explanations, and decision audit trails.

P1

Model Performance Monitor Agent

Continuously tracks AI model accuracy, precision, recall, and latency, using PSI and KL divergence tests to detect drift.

P1

AI Incident Response Agent

Detects and responds to AI system failures and adversarial attacks — triggers model rollback and manages regulatory notification.

AI Ethics Review Agent

Screens new AI use cases against ethical guidelines — evaluating potential harms, proportionality, and dual-use concerns.

Synthetic Data Governance Agent

Manages synthetic data generation for AI training — ensuring no re-identification risk and proper consent chain from source data.

MRM Integration

AI Governance + Model Risk Management. The complete AI oversight picture.

Remedy's AI Governance agents connect directly to the MRM module — model drift detected by the AI Governance layer automatically creates risk records in MRM, and InfoSec vulnerabilities in AI systems cross-reference model risk ratings.

AI Governance Agents

Bias, explainability, EU AI Act, performance monitoring, incident response.

MRM Module

SR 11-7 model risk tiering, PSI drift detection, quantitative testing, documentation compliance.

EU AI ActNIST AI RMF 1.0ISO 42001IEEE 7000OECD AI PrinciplesUNESCO AI EthicsUK AI Safety InstituteNIST AI 600-1SR 11-7 (MRM)OCC 2011-12ECOA / FCRAGDPR (AI Decisions)

Govern your AI systems responsibly.

See how Remedy's AI Governance agents and MRM module work together for complete AI risk oversight.