Governance
Roadmap
Principles, roles, escalation paths, and long-term AI operating decisions.
Guides / Tools
Practical AI references
Visual guides and tool comparisons for enterprise AI readers who want useful shortcuts, not another pile of tabs.
Governance guide
AI governance and compliance, where the real gap starts
A practical guide to the difference between AI governance and compliance, the framework stack around them, and what changes once agents and runtime controls enter the picture.
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Vanderburgh.it
AI GOVERNANCE AT A GLANCE
Strategy, proof, agent controls, and human oversight in one operating model.
Compliance
Proof
Logs, evidence, registrations, and regulator-ready technical controls.
Agents
Runtime guardrails
Tiered autonomy, checkpoints, and bounded execution for live agent behavior.
Humans
Oversight
Board visibility, review quality, training, and challenge when AI output looks polished.
Framework
The modern GenAI architecture stack
A detailed systems-engineering guide to LLMs, RAG, AI agents, and MCP. Built as a visual architecture reference for moving from demos to enterprise-ready AI systems.
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Vanderburgh.it
GENAI STACK AT A GLANCE
Four systems: reasoning, grounding, execution, and secure connectivity.
LLM
Brain
Reasoning, drafting, interpretation, and language generation.
RAG
Memory
Verified retrieval from enterprise sources before the model answers.
Agents
Hands
Planning, tool use, execution loops, and corrective action in workflow.
MCP
Nervous system
Standardized connectivity between AI clients, tools, and governed data sources.
Infographic
Which AI tool do you use for what?
A practical comparison of Claude, ChatGPT, Gemini, Qwen, Grok, and Mistral. Use the card view as the quick scan, then open the matrix for strengths, limits, and best-fit work.
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