Describe the initiative
Capture purpose, users, data, model behavior, decision impact, geography, vendors, and human oversight.
ARCHON helps organizations classify AI risk, map regulatory and management-system expectations, define decision rights, identify safeguards, and structure the evidence needed for accountable deployment.
Decision impact, data sensitivity and human oversight
Applicable duties and evidence expectations
Ownership, approvals, escalation and review
Performance, drift, incidents and retirement
ARCHON is designed around the actual AI use case: what it does, whose decisions it influences, which data it uses, where it operates, and how people remain accountable.
Capture purpose, users, data, model behavior, decision impact, geography, vendors, and human oversight.
Determine governance attention, applicable obligations, assumptions, gaps, and escalation needs.
Define accountability, controls, evidence, safeguards, review gates, and implementation actions.
Track performance, drift, incidents, approvals, exceptions, periodic reviews, and retirement conditions.
The visual below uses demonstration data. It shows how a future authenticated workspace will organize classification, obligations, evidence and governance decisions.
Demonstration initiative · version 0.8 · review required
Conditional approval recommended after seven priority actions are closed and evidence is accepted by the governance authority.
| Governance area | EU AI Act | ISO/IEC 42001 | NIST AI RMF | Evidence |
|---|---|---|---|---|
| Risk management | Mapped | Mapped | Mapped | Risk register |
| Human oversight | Mapped | Partial | Mapped | Oversight procedure |
| Monitoring | Mapped | Mapped | Mapped | Monitoring plan |
| Incident response | Review | Mapped | Mapped | Incident playbook |
ARCHON does not produce disconnected prose. Each module connects risk, obligations, ownership, controls, evidence, actions and monitoring.
Risk tier, decision impact, affected people, data sensitivity, autonomy, explainability, assumptions and escalation.
Applicable governance expectations, obligation rationale, required evidence, gaps and responsible owners.
Business, individual, privacy, fairness, safety, operational, security and reputational impacts.
Decision rights, accountable roles, approvals, challenge, exceptions, risk acceptance and review cadence.
Data controls, access, testing, robustness, logging, validation, vendor management and deployment gates.
Performance, drift, bias, incidents, complaints, overrides, periodic review and retirement triggers.
ARCHON is designed to organize governance work across multiple regulatory, risk and management-system perspectives without pretending that one framework replaces another.
ARCHON’s governance structure can be tailored to sector-specific accountability, evidence, risk appetite and operating models.
Decisioning, fraud, credit, customer interaction, model risk and third-party AI.
Clinical support, member services, privacy, safety, fairness and human escalation.
Citizen impact, due process, procurement, transparency, records and public accountability.
Workforce, customer service, content, analytics, automation and vendor governance.
The public preview demonstrates the product without collecting sensitive AI-initiative information or exposing unfinished functionality.
Strategica can discuss the initiative, governance problem, desired output and pilot structure. Secure self-service access will be activated only after the backend, isolation controls, recovery model and commercial terms are ready.
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