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- AI Discovery
Find the AI your team is already using, before it finds you.
Your employees aren’t waiting for a policy. They’re already using AI tools to get work done. Some of those tools are great. Some are a serious risk. Most haven’t been reviewed by anyone. We find them, assess them, and help you build a framework to manage AI adoption safely going forward.
── The Problem
Shadow AI is the new Shadow IT and it's already inside your organization.
It starts small. A sales rep uses an AI writing tool. An engineer connects a coding assistant with production access. A support team member runs customer data through a third-party AI summarizer.
None of it went through security review. None of it was procured. And none of it shows up in your asset inventory. This isn’t a people problem. It’s a visibility problem. And without visibility, you can’t manage risk, meet compliance requirements, or answer when an enterprise customer asks how you govern AI usage.
── What We Do
A structured discovery process to map, assess, and govern AI across your organization.
We help you find what’s running, understand what it means for your security and compliance posture, and put a practical governance framework in place, without shutting down productivity or creating unnecessary friction for your team.
── What's Included
Everything you need to go from invisible to in control.
01 — Discovery
AI Discovery
We conduct a structured discovery across your organization to identify AI tools in use, across departments, roles, and functions, using interviews, surveys, and technical review to build a complete picture.
02 — Classification
Risk Classification
Every tool is assessed against key risk criteria: data access and handling, vendor security posture, compliance implications, and potential for misuse or exposure.
03 — Register
Shadow AI Register
A full inventory of identified AI tools, classified by risk level and department, giving you the visibility you need to make informed governance decisions.
04 — Governance
Governance Framework
A practical, scalable framework for managing AI adoption going forward, including an approval process for new tools, usage policies, and guidance for your team.
05 — Templates
Policy & Communication Templates
Ready-to-use policies and internal communication templates to roll out your AI governance program without starting from scratch.
── Who This Is For
This service is built for:
- Companies that have grown fast and know AI adoption has outpaced oversight
- Organizations facing enterprise customer questions about AI governance
- Security and compliance teams that need visibility before an audit or review
- Leadership teams that want to enable responsible AI use, not block it
── Common Questions
What teams typically ask about AI Discovery.
What if we find tools we shouldn't be using?
We approach discovery without a shutdown-first mindset. The goal is visibility and governance, not enforcement. Where tools carry unacceptable risk, we’ll give you a clear recommendation — but the decision is yours.
How do you actually find the tools? Do you need system access?
We use a combination of structured interviews, department surveys, and technical methods including network and endpoint review where applicable. We’ll agree on the approach with you before we start.
What if employees are reluctant to share what they're using?
We frame discovery as enablement, not surveillance. The message to your team is simple: we’re building a process to approve and support good AI tools, not to take them away. That framing typically gets strong cooperation.
Will this disrupt our team?
The discovery process is designed to be lightweight for individual employees — mostly short surveys or brief conversations. We do the heavy lifting on the analysis side.
What happens after the discovery?
You get a full register of AI tools in use, a risk classification for each, and a governance framework to manage new tools going forward. We can also support implementation of the framework as a follow-on engagement.
How is this different from your AI Risk Assessment?
AI Discovery focuses specifically on finding and governing the AI tools already in use across your organization — it’s about visibility and control. The AI Risk Assessment takes a broader look at the risks introduced by your AI use across product, operations, and compliance. Many clients run Discovery first, then use the findings to inform the Risk Assessment.
Ready to see what's actually running in your environment?
Let’s start with a conversation.
Senior consultant — not a sales rep. No commitment.