Verification before reliance
AI-assisted output should be checked against relevant evidence before it is relied upon for material use.
VLC uses a governance-led approach to AI-assisted work: evidence remains relevant, uncertainty remains visible and accountability does not disappear because automation is involved.
Public principles describe the control intent without publishing internal prompts, model-selection logic or proprietary operating mechanics.
AI-assisted output should be checked against relevant evidence before it is relied upon for material use.
Where impact, ambiguity or governance sensitivity makes it appropriate, human review remains part of the decision environment.
Enough context should remain available to understand what supported or limited the resulting conclusion.
Client data and governance-sensitive information should remain within authorised handling boundaries.
Where evidence cannot answer a specific question, the result may remain Unknown. The explanation should identify that question, the missing or insufficient evidence and the effect on the intended use. Conflicting evidence should be described separately so the reason for uncertainty remains clear.
AI is one possible assistance layer inside a governed process. Its output remains subject to evidence, intended use and accountable human judgement.
See the wider Governed Approach →Detailed internal AI procedures, prompts, model-selection rules, thresholds, escalation mechanics and proprietary reasoning templates remain governed internally.
We can explain the relevant public governance position and the accountability boundary around AI-supported work.
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