Agentic AI Governance System

A Unified Architecture
for Governing
Agentic AI.

ARCHAI™ is a composable governance stack that binds identity, intent, memory, agency, and accountability into a single operational system for real-world AI deployment.

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Governance
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Major
Standards
Regulatory Alignment

The Landscape
Has Shifted.

Global AI regulations now require formal governance documentation, risk controls, and traceable accountability. Enforcement is active. Penalties are real.

€30M
or 6% global turnover
EU AI Act fines are in force.

High-risk AI systems without formal governance documentation face fines up to €30 million or 6% of global annual turnover. Most organizations are not compliant.

EU AI Act NIST AI RMF ISO/IEC 42001 EO 14110 GDPR Art. 22
Enforcement Timeline

Regulations in Force Now

These are not future requirements. They are active obligations with real penalties.

August 2024
EU AI Act — Enacted
The world's first comprehensive AI regulation enters into force across all EU member states.
February 2025
EU AI Act — Prohibited Practices Active
Prohibitions on unacceptable-risk AI systems fully enforceable. Fines up to €35M or 7% turnover.
August 2025
GPAI Model Rules Active
General purpose AI model obligations including transparency and copyright compliance take effect.
August 2026
High-Risk AI — Full Compliance Required
All high-risk AI systems must meet governance, documentation, and human oversight requirements. €30M / 6% fines active.
The Architecture

Five Layers.
One Governed System.

Each mechanism governs a distinct layer of agentic AI operation — designed as a stack where each layer depends on the one below it.

Layer 1 · Identity Substrate
IDENTARCH™
Verifiable identity for every agent and operator
→
Layer 2 · Intent Binding
INTENTUM™
Traceable authorization records for AI behavior
→
Layer 3 · Memory Governance
MNEMARCH™
Governed retention, recall, and knowledge access
→
Layer 4 · Agent Orchestration
AGENTUM™
Authority, delegation chains, operational boundaries
→
Layer 5 · Algorithm Accountability
ACCOUNTUM™
Traceable authority chains for every consequential output
→
Diagnostic Assessment

ARCHAI™ GAP Analysis

A 12-domain diagnostic that identifies exactly where your AI systems fail regulatory, ethical, and operational requirements.

GOVERNANCE RISK OVERSIGHT DATA SECURITY ACCOUNT. COMPLIANCE INCIDENT
Typical organization
ARCHAI™ governed
Most organizations fail 7–10 of 12 domains. ARCHAI™ identifies every gap and delivers a remediation roadmap aligned to active regulatory requirements.
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Governance Maturity

Where Most Organizations Stand

Typical governance posture across critical AI risk domains — before ARCHAI™ implementation.

Agent Identity & Attribution18%
Intent Documentation24%
Memory & Data Governance31%
Agentic Authority Controls22%
Output Accountability19%
Regulatory Documentation41%
Value Proposition

From Risk Surface to Governed System

What changes when ARCHAI™ governance architecture is in place.

Without ARCHAI™
✗No verifiable agent identity
✗Intent assumed, not documented
✗Memory access uncontrolled
✗No authority chain for actions
✗Outputs unattributable
✗Regulatory exposure unmanaged
With ARCHAI™
✓Every agent has a bound identity
✓Intent declared and enforceable
✓Memory governed and auditable
✓Full authority chain documented
✓Every output traceable
✓Audit-ready documentation
Engagement

Fee Schedule

Structured engagement tiers for organizations at every stage of AI governance maturity.

Foundation
One-time
Core framework access and initial gap assessment. For small teams or early-stage AI deployments.
$2,500
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Recommended
Professional
One-time
Full 12-domain governance assessment, gap report, and complete remediation plan with implementation guidance.
$7,500
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Enterprise
Custom
Multi-system, regulatory-grade governance with ongoing monitoring and audit-ready documentation.
TBD
Contact Us
All engagements include a formal governance report delivered under the ARCHONOMY™ discipline. Contact anastrophon@barkdale.co to discuss scope.
Ready to Govern
Your Agentic AI?

ARCHAI™ turns agentic AI from an opaque risk surface into a governed, auditable, compliant system of record.

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