// Regulation
EU AI Act Readiness for Product Teams Outside Europe
Map AI system role, risk category, transparency duties, evidence, and supplier responsibilities before a product ships.
Resources for Responsible AI Adoption.
Detailed AIRIG research notes for teams building, evaluating, and governing AI systems with clear ownership, source-aware workflows, and human accountability.
// Featured - Risk Management
NIST AI RMF GenAI Profile Checklist for Product Teams
Translate the Govern, Map, Measure, and Manage functions into release checks for generative AI workflows.
// 01 - Topic library
AI governance topics for adoption teams.
The library focuses on governance, evaluation, privacy, procurement, agentic AI, RAG, incident response, and Australian AI guardrails because these are practical decision points for adoption teams.
// Agentic AI
Agentic AI Governance: Human Handoffs Before Autonomy
Agentic AI needs tool limits, approval gates, memory controls, identity boundaries, and clear human handoffs before it acts.
// Evaluation
LLM Evaluation Playbook for Enterprise Workflows
Evaluate LLM workflows with task-level test sets, source checks, reviewer notes, and release criteria that match business use.
// Privacy
AI Privacy Impact Assessment Guide for Generative AI
Assess AI privacy by following data through collection, prompting, retrieval, logging, storage, model use, and deletion.
// Procurement
Responsible AI Procurement Checklist for Buyers
Ask better vendor questions before adopting AI: purpose, data terms, testing evidence, human oversight, security, and exit options.
// RAG
RAG Governance: Source-Aware AI Without False Confidence
RAG improves AI usefulness only when sources, permissions, freshness, citations, and review expectations are governed.
// Operations
AI Incident Response Plan for Model and Workflow Failures
Prepare AI incident response with severity levels, evidence capture, customer communication, rollback, and post-incident learning.
// Adoption
Shadow AI Policy for Managed Enterprise Adoption
Shadow AI is usually a signal of unmet workflow needs. Manage it with discovery, clear tiers, approved tools, and review paths.
// Australia
Australian AI Guardrails for Responsible Adoption
Use Australia's AI safety guardrails as an adoption checklist for accountability, risk management, data governance, testing, and transparency.
// 02 - Resource structure
Built to help teams move from reading to review.
Each article explains the workflow problem, outlines practical controls, answers common questions, and links to source material or AIRIG support for deeper review.
// 01 - Structure
Article Schema
Blog posts expose BlogPosting, FAQPage, and breadcrumb data through Nuxt head management.
// 02 - Discovery
Readable Routes
Resource pages use clear routes and article metadata so readers can find practical AI governance content.