Amalfi AI operationalizes complex standards like ISO 42001 and the EU AI Act by integrating real-time risk classification and automated guardrails directly into the engineering lifecycle.
Governance Controls
Compliance Pillars
Regulatory Frameworks
Enterprise Clients
The operational discipline for embedding governance controls directly into AI infrastructure — transforming compliance from a periodic audit into a continuous, automated flow.
Governance controls execute in real-time alongside model inference, not in quarterly review cycles. Every prompt is classified, every response is monitored, every risk is scored at the point of interaction.
Controls live inside the API gateway, the data pipeline, and the deployment workflow — not in a separate compliance portal. Governance becomes an engineering concern, not a legal afterthought.
Every decision, classification, and override generates an immutable audit trail. When regulators ask for evidence, the system produces it automatically — no scramble, no reconstruction.
From API gateway to model deployment, we architect and implement the full governance stack.
Risk-aware LLM routing with dynamic prompt classification for PII, IP, and regulatory content. Custom LUA plugins for enterprise-specific enforcement policies.
Medallion architecture, MLflow model registry, Lakehouse Monitoring, and champion/challenger deployment patterns with Unity Catalog governance.
Custom Model Context Protocol server development for enterprise integrations — Snowflake, Teams, multi-tenant authentication with Entra ID OAuth.
Real-time prompt analysis and routing engine that classifies inbound requests by risk category — PII exposure, intellectual property leakage, and regulatory compliance.
End-to-end automation pipelines using n8n for governance workflows — from incident detection through remediation to stakeholder notification.
Dynatrace integration with custom DQL queries for AI system telemetry — latency, error rates, model drift detection, and governance SLA tracking.
Audit-ready, standards-mapped, operationally embedded across five pillars of organizational AI maturity.
Executive oversight structures, RACI matrices, and policy frameworks for AI decision-making authority.
Continuous risk identification, classification, and mitigation workflows integrated into the development lifecycle.
Data lineage, consent management, PII detection, and privacy-preserving architectures for regulated environments.
Secure training, validation, deployment, and monitoring with champion/challenger patterns and drift detection.
Automated evidence generation, immutable audit trails, and continuous mapping to ISO 42001, NIST, and EU AI Act.
A modular three-level program designed to build governance competency from the boardroom to the engineering floor.
Strategic awareness program covering the regulatory landscape, organizational risk exposure, and the business case for proactive AI governance.
Hands-on program for operationalizing governance — building control frameworks, establishing metrics, and integrating compliance into existing workflows.
Deep technical training on embedding governance into infrastructure — API gateways, data pipelines, model registries, and monitoring systems.
Whether you're building your first governance framework or hardening an existing program, Amalfi AI brings the methodology and engineering depth to make it real.
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