AI Use Governance
A policy, an SOP, and verification standards for AI-assisted work - and an answer for the auditor who asks about it.
The situation
Staff are already pasting procedures into public chatbots. Not out of malice - out of usefulness. The tools help, they are one browser tab away, and no one has said what is allowed. So controlled documents flow into systems the organization has never assessed, AI-assisted content enters work products with no verification standard, and there is no answer for the auditor who asks the question that is now standard: “What is your policy on AI use?”
“We do not use AI” is no longer a credible answer anywhere, and it was never a governing one. The choice organizations actually face is between AI use that is governed and AI use that is happening anyway.
What we deliver
An AI use policy and SOP for the organization. The document set that turns practice into governance: which tools are approved and for what, which uses are prohibited, and where the data boundaries sit - what content classes may touch which systems, and what may never leave the company’s control. Written as an operable SOP for a real quality system, not a values statement.
Human-in-the-loop verification standards. For AI-assisted documents and training content, the standard that answers the operational question: what must a qualified human verify before this output is used, and how is that verification recorded? The standard makes AI-assisted work defensible by making the human ownership explicit - the person who verified it, verifiable.
Disclosure and record-keeping conventions. Consistent conventions for how AI-assisted work products are identified and what records accompany them. When the question comes - from an auditor, a customer, or a regulator - the organization has one practiced answer instead of an improvised one per department.
A leadership briefing on what regulators and customers are beginning to ask. The questions are already arriving in audits and quality agreements. We brief leadership on what is being asked, what answers hold up, and where expectations are heading - so governance decisions are made ahead of the questions instead of after them.
Why this comes early
Governance is the prerequisite for every other AI initiative, not the paperwork after it. An assistant, an automation, or a generation pipeline deployed into an organization with no use policy becomes exhibit A in someone else’s finding. Deployed into a governed organization, the same capability is defensible on day one. The policy costs weeks; retrofitting it costs credibility.
What changes
The ungoverned tab habit gets replaced by sanctioned, bounded tools people can actually use. AI-assisted work carries verification records instead of ambiguity. And “what is your policy on AI use?” becomes a question you answer by handing over a document - which is the only answer that ends the conversation.
Every engagement begins with a conversation and a scoped proposal.
Tell us the situation - the finding, the deadline, the gap. You will get a direct, specific reply within 24 hours.
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