AI policy
We build practical AI governance frameworks — acceptable use policies, data privacy controls, and audit-ready compliance documentation — designed to be followed, not filed away.
What you get
Most AI policies get written, approved, and immediately ignored. We build frameworks that match how your teams actually work — so compliance happens by design, not enforcement.
A clear, enforceable policy covering which AI tools employees can use, what data they can feed into them, and what outputs require human review — written in plain language that people will actually read.
We define what data can be processed by AI systems — internal vs. external, PII, IP, regulated data — and build the controls that prevent accidental exposure through AI tools your team is already using.
A documented process for what happens when an AI system produces harmful output, a data leak occurs, or a tool gets used outside its intended scope — before it becomes a crisis.
A repeatable evaluation process for assessing new AI tools before they're adopted — covering data handling, model transparency, compliance certifications, and contractual protections.
Tailored guidance for executives, managers, and front-line employees — covering their specific AI responsibilities, common risk scenarios, and what to do when something looks wrong.
Audit-ready documentation aligned to your regulatory requirements — whether that's SOC 2, HIPAA, CMMC, GDPR, or frameworks like NIST AI RMF — so you're covered when regulators or clients ask.
Why this matters now
Clients and insurers are asking about AI governance. Your employees are already using AI tools whether you've approved them or not.
Employees pasting sensitive data into public AI models is already happening at most companies. Without a policy, there's no way to prevent it — or defend against it when something leaks.
Underwriters are adding AI governance questions to renewal questionnaires. No policy documentation is increasingly a reason to deny claims or add exclusions.
AI-generated content can include third-party IP without attribution. Without usage controls, your organization may unknowingly create liability with every AI-assisted deliverable.
HIPAA, GDPR, CCPA, and CMMC all have implications for how AI can process regulated data. Ungoverned AI adoption creates audit exposure you may not discover until it's too late.
How it works
We audit what AI tools are currently in use — sanctioned and shadow — and how employees are using them, including what data is being processed and by which systems.
We map your regulatory obligations and specific risk exposures against current AI usage patterns — identifying the gaps that need to be addressed before policy can be enforced.
We draft the full policy package — acceptable use policy, data handling rules, vendor vetting framework, incident response process — reviewed with your legal and leadership teams.
We deliver final compliance documentation, training materials, and a rollout plan — including communication templates and an acknowledgement workflow for employee sign-off.
A practical policy takes 4–6 weeks and protects you from the most common — and most expensive — AI governance failures.
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Tell us about your organization, what AI tools are in use, and what's driving the urgency. We'll follow up within one business day.