Library
Plain-English education on AI track-and-trace, governance, and auditability — for the teams putting autonomous AI into production.
What Is AI Track-and-Trace?
Provenance for autonomous AI, and the three primitives behind a verifiable record.
Read →
Mapping AI Compliance
ISO/IEC 42001, the EU AI Act, and NIST AI — and the common thread of verifiable evidence.
Read →
AI Agent Identity
Why every autonomous agent needs a verifiable ID — the keystone of accountability.
Read →
More articles and educational resources are added regularly.
The MCP Audit Layer: SCITT-Compliant Receipts for Every Tool Call
For frontier model providers and platform vendors building on the Model Context Protocol. How AICS adds deterministic enforcement and cryptographic audit receipts (UAI / LT / DUT) to MCP tool calls — SCITT-compliant.
Insights & Thought Leadership
Field notes on the agentic enterprise — speed, control, monetization, and the governance gap between them.
The $50,000 2 a.m. Ghost Break
When AI protocols outrun the org chart — and what a midnight incident really costs.
Read the article →
Welcome to Gas Town
The industrial revolution of AI coding — and what mass agent output means for control.
Read the article →
The Battle for the Enterprise Footprint
The platform land-grab now underway for the agentic enterprise.
Read the article →
The “Faithfulness Gap”
The hidden tax on your AI ROI when model output can’t be trusted or proven.
Read the article →
Is Your ERP Ready for “Non-Deterministic” Workflows?
Why systems of record built for determinism strain under autonomous AI.
Read the article →
The “Monetization Wall” for Agentic ERP
Why human-in-the-loop isn’t enough to scale — or safely monetize — agentic ERP.
Read the article →
The Agentic Enterprise 2026
The defining 2026 trade-off: agent speed versus enforceable control.
Read the article →
Why AI Agent Pricing Breaks SaaS Logic
Consumption, not seats — and how to govern the risk you’re now billing on.
Read the article →