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VERITRAIL assesses AI governance at two levels, because they answer different questions:

  • Organization level — "how mature is our governance overall?" The 24-question maturity self-assessment scores eight weighted domains (see the maturity model).
  • Use-case level — "is this AI system adequately controlled for its risk?" An intake, a risk triage and a set of deep-dive modules selected for that system.

Both produce findings that cite VERITRAIL controls and carry evidence labels. Neither produces a compliance determination.

Level 1: Organization maturity assessment

Attribute Detail
Scope Whole organization or a business unit
Format 24 questions, 3 per domain, scored 1–5; about 8 minutes
Output Overall score and level, domain scores, strengths, gaps, critical flags, 30/60/90-day plan, recommended controls and modules, indicative readiness indicators
Evidence status User-asserted (self-reported) until validated
Validation In a Governance Baseline, answers are tested against evidence and relabelled

Level 2: Use-case intake and risk triage

Every AI use case starts with a short intake. The fields are the same ones the risk triage tool uses:

Intake field Example values
Domain category customer service, internal productivity, credit, employment, healthcare, biometric, education, critical infrastructure, essential services, other
Decision impact none, advisory, material, automated decision
Affected parties internal, customers, public, vulnerable groups
Data sensitivity public, internal, confidential, personal, special-category
Autonomy none, suggests, acts with approval, acts autonomously
External actions can it send messages, update records or move money?
Generative AI, vendor model, EU exposure yes / no
Tools the systems it can access, for example CRM, email, ticketing, payments

Triage produces a suggested tier — Prohibited-review, High, Medium or Low — together with the factors that drove it, missing fields, the modules required, a suggested approval authority and review cadence. The tier is Inferred and requires confirmation by an accountable human (EI-02, GL-01).

VERITRAIL controls cited

Framework mappings are indicative VERITRAIL interpretations (Control Library v1.0.0); they are not legal advice and do not establish conformity or compliance.

Level 3: Use-case deep-dive modules

Module Applies when What it examines Representative controls
Core governance & lifecycle Always Owners, purpose, confirmed tier, pre-deployment assessment and approval, obligations, prohibited-use screening, change control EI-03, EI-04, GL-02, GL-03, AO-07, AO-10, GL-04
Data & privacy Personal, special-category or confidential data Data lineage, privacy impact, minimisation, redaction, retention EI-06, IS-02, IS-03, IS-04
Security & resilience Always Threat model, model and prompt supply chain, security testing, kill switch IS-01, IS-10, IS-15
Generative AI & LLM controls Uses generative AI Adversarial testing, runtime guardrails, limits, prompt registry, output quality IS-14, IS-12, IS-16, EI-05
Agentic AI & tool use Acts with approval or autonomously, takes external actions, or has tools Agent and tool registry, least privilege, human approval, action logging, limits EI-07, IS-11, IS-13, SE-08
Fairness, safety & transparency High tier, external affected parties, or material/automated decisions Bias testing, harm evaluation, AI disclosure, contestability IS-05, IS-06, IS-08
Human oversight & operations High tier, material decisions, or autonomous operation Oversight design, operator training, escalation, go-live conditions IS-09, AO-05, AO-06, GL-07
Vendor & third-party AI Relies on a vendor model or AI service Due diligence, contract controls, vendor inventory, vendor change monitoring GL-11, EI-08, AO-09
Monitoring, incidents & evidence Always Production monitoring, incident handling, evidence retention, periodic review GL-08, SE-04, SE-02, GL-12

Each question lists the evidence an assessor expects to see — for example, "Tool/permission manifest per agent" for the agent registry question — so a respondent knows from the outset what "implemented" has to look like.

How findings are rated

Answers are recorded as Implemented, Partially implemented, Not implemented, Unknown or Not applicable. Severity combines three factors: the priority of the cited control, the confirmed risk tier, and the answer. A "Not implemented" answer on a critical control for a High-tier system becomes a Critical finding; an "Implemented" answer without evidence is recorded as an evidence gap rather than an implementation gap. Severities carry remediation SLAs of 30, 60, 90 and 180 days for Critical, High, Medium and Low respectively — see Gap analysis.

Runtime guardrail recommendations

The same intake also drives runtime guardrail recommendations — for example, redaction when personal data is in scope (IS-04), tool allow-listing when the system has tools (IS-11), human approval when it can take external actions (IS-13), and action logging and a kill switch for every system (SE-08, IS-15). The guardrail generator turns those recommendations into a draft policy for VERITRAIL Shield.

Who runs the modules

The modules can be completed in a facilitated workshop, by the system owner with reviewer sign-off, or in a guided conversation with the VERITRAIL Agent, which asks the questions, records answers as User-asserted, and drafts the findings with citations for a human reviewer to accept or amend.

Frequently asked questions

Do we need to run every module for every AI system?
No. The core, security, and monitoring modules apply to every use case; the other modules are triggered by the intake profile and risk tier, so a low-risk internal tool gets a short assessment and a high-impact agent gets a deep one.
Who decides the final risk tier?
A human. VERITRAIL calculates a suggested tier with the factors and citations behind it, labels it Inferred, and requires an accountable approver to confirm or change it.

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