Implementation Conformance Checklist v1.0

1. Purpose & Core Principles

The Implementation Conformance Checklist is an operational audit tool designed to evaluate deployed AI and agentic systems against the Vertical AI Governance Stack v1.0 Canonical Technical Specification.

The instrument determines whether governance controls are:

Defined → Implemented → Enforced → Evidenced → Recoverable

Core Audit Principle

Do not audit what the architecture claims the AI can do. Audit what the deployed system can actually make happen.

2. Assessment Boundary Completeness

Before evaluating layer controls, the assessor MUST define and verify the operational perimeter across 16 key execution surfaces:

Autonomous & semi-autonomous workflows
Agent runtimes, models, callable tools and plugins
Internal/external APIs, background workers, scheduled jobs
Message queues, admin interfaces, legacy services, sidecars
External integrations, webhooks, and direct DB mutation paths
Financial, communication, and production/physical side-effect paths

Boundary Completeness Test

Can a governed state change or side effect occur through any path that has not been included in the assessment perimeter? If YES: The assessment scope is incomplete (ASSESSMENT SCOPE INCOMPLETE).

3. Assessment States

Evaluated control items across Layers L1 to L6 are assigned exactly one of five canonical states:

CONFORMANT: Control is explicitly defined, implemented, deterministically enforced in code, and backed by evidence.
PARTIALLY CONFORMANT: Control exists in policy design but lacks deterministic code enforcement or complete logs.
NON-CONFORMANT: Governance control is absent, bypassed, or relies solely on model compliance.
NOT APPLICABLE: Control is outside the declared operational scope (must be justified).
NOT VERIFIED: Insufficient evidence provided to verify operational behavior.

4. Evidence Classification

Submitted evidence is categorized into three explicit tiers:

Tier	Type	Description & Examples
Tier 1	Design Evidence	Architecture diagrams, policy docs, OpenAPI schemas, code declarations.
Tier 2	Enforcement Evidence	Integration test suites, authorization traces, denied attempt logs, circuit breakers.
Tier 3	Historical Evidence	Audit trails, Governance Telemetry logs, historical Decision Record ledgers.

5. Drift & Coverage Gap Taxonomy

Assessors must evaluate systems for three distinct architectural vulnerabilities:

Capability Drift: Declared Authority ≠ Effective Executable Authority

Execution Drift: Authorized Intent ≠ Downstream Side Effect

Governance Coverage Gap: Side-Effect Path Outside Enforcement Boundary

Cite This Instrument

To cite this assessment instrument, use the following BibTeX entry:

@techreport{morales2026checklist,
  author      = {Morales Santiago, Manuel Enrique},
  title       = {Implementation Conformance Checklist v1.0: Vertical AI Governance Stack Assessment Instrument},
  institution = {LatinFlash Research},
  type        = {Assessment Instrument},
  number      = {LatinFlash Research Paper 2026-05},
  year        = {2026},
  month       = {September},
  url         = {https://research.latinflash.com/papers/implementation-conformance-checklist/},
  note        = {ORCID: 0009-0007-6921-7688, Wikidata: Q141498244, Dialnet: 3123473}
}

Permanent Identifier: https://research.latinflash.com/papers/implementation-conformance-checklist/ ORCID iD: 0009-0007-6921-7688 Author Wikidata: Q141498244 Dialnet Code: 3123473