Staff are using ChatGPT, Claude, Copilot, and dozens of other tools on sensitive work. Not because they are reckless. Because no policy tells them what is allowed, no training explains why it matters, and no accountability structure catches it when something goes wrong.
The liability is accumulating quietly.
Professional ethics opinions on AI use are being updated across every licensed industry. The EU AI Act, state AI legislation, HIPAA guidance on AI tools, SEC expectations on algorithmic decision-making. A governance framework that is not updated regularly is not a governance framework. It is a document that ages into liability.
Many organizations already have something they call an AI policy. It is usually a paragraph in a staff handbook that nobody has read. No one knows what tools are permitted. No one knows what constitutes appropriate use. No one is accountable when something goes wrong. Paper does not protect you.
New AI tools enter the market every week. Staff find them, try them, and start using them on real work before anyone has evaluated how they handle confidential data, who trains on your inputs, or what the liability terms say. Without a vetting protocol, every new tool is an unreviewed risk.
We assess where AI is actually being used before any policy is written.
Formal tools, informal tools, tools staff are using without anyone knowing. We map the risk exposure for each. We identify the regulatory obligations that apply. We do not write policy for a landscape we have not mapped.
Deliverables:
We write the governance framework your organization will actually use.
Policy, roles, approval workflows, and accountability structures. Written in plain language. Calibrated to your specific regulatory environment. Readable by staff. Defensible to regulators. Not a generic template rebranded with your logo.
Deliverables:
We train your team on why the rules exist, not just what they are.
Role-specific training that connects policy to real scenarios. Competency assessments that document that your staff understands appropriate AI use. Records that hold up under regulatory scrutiny. Not a checkbox exercise.
Deliverables:
We build in the review cadence before we leave.
A governance framework without a review process is a framework that will be outdated within a year. We establish the cadence, the triggers, and the ownership so the framework stays current as regulation and tooling evolve. We do not just deliver a document. We deliver a system.
Deliverables:
No. Every organization using AI has governance obligations, but the specifics vary by sector. We build frameworks calibrated to your industry: legal ethics opinions for law firms, HIPAA for healthcare, SEC guidance for financial services, professional licensure standards for architecture and engineering, and EU AI Act compliance for enterprises operating internationally.
Most AI policies look thorough on paper and do nothing in practice. A policy no one reads, a training no one remembers, a risk matrix no one updates. If your policy was not built from an actual inventory of how AI is being used in your organization, it is not protecting you. We assess first, then build.
Four to eight weeks depending on organization size and the complexity of your regulatory environment. A 20-person firm with a single regulatory framework moves faster than a 500-person enterprise operating across multiple jurisdictions. We scope accurately in week one so there are no surprises.
Yes, and we say so upfront. Regulation is moving fast. Professional ethics opinions are being updated. New tools enter the market constantly. A governance framework written today needs a review next year. We build the review process into what we deliver, and we offer retainer options for ongoing compliance support.
Then no framework will protect you, and we will say that in week one. We do not build governance theater. A policy no one is accountable to is not governance. If your leadership is not prepared to enforce the framework we build, we will have that conversation directly before we write a single page.
