What We Do
AI adoption is accelerating faster than most organizations can build governance around it. Your teams are using ChatGPT, Claude, Copilot, and a dozen other AI tools with company data. Some of those tools send data to external servers. Some generate outputs that could expose your organization to legal liability.
Some make decisions that need to be explainable and auditable. Without governance, you have no visibility into what AI is being used, how it is being used, what data it is processing, and what risks it creates. AI compliance and governance is the framework that brings AI usage under control: policies that define acceptable use, technical controls that enforce those policies, monitoring that tracks what is happening, and audit trails that satisfy regulators. We help organizations build AI governance programs that protect them without slowing down the teams that benefit from AI.
How We Work
We start with an AI usage audit: what tools are being used, by whom, with what data, for what purposes, and under what (if any) existing policies. From that audit we build a risk assessment that maps each AI use case to the regulatory requirements, contractual obligations, and organizational risk tolerances that apply. The governance framework includes an AI acceptable use policy, data classification rules for AI inputs, output review requirements for high-risk applications, vendor assessment criteria for AI tools, and incident response procedures for AI-related issues.
Technical controls enforce the framework: data loss prevention rules that prevent sensitive data from reaching unauthorized AI tools, output monitoring that flags potentially problematic content, and logging infrastructure that creates audit trails for regulated applications. We train your team on the framework and help you stand up an AI governance committee that maintains it as regulations and AI capabilities evolve.