Before we buy or expand AI, are our permissions, data, and governance actually ready?

Make AI safe to approve by proving what it can access, where the business case works, and which guardrails need to exist first.

Start here

Before you switch on Copilot, this is the diagnostic that proves what AI can already reach through existing permissions.

Copilot & Shadow AI Exposure Report

$3,450 to $4,500 · Compact from $2,500

Built for the COO who needs proof sensitive data will not be indexed before rolling out AI.

Run the AI Exposure Report →

Fixed priceExposure report you keepRead-onlyData-safe

Three questions, Three kinds of proof

Every engagement ends in documentation your team can act on

01Copilot Readiness

If we switch on Copilot tomorrow, what would it expose?

Copilot inherits every oversharing mistake already in your tenant. The ledger maps what it would surface, ranks the exposure by sensitivity, and ends in a remediation plan so it stays switched on safely.

Copilot Exposure & Readiness Ledger

02Copilot Business Case

Before we license Copilot company-wide, what is the actual ROI?

A CFO-grade model that weighs the per-seat cost against the modeled time saved at your real license count, surfaces the readiness gaps that inflate the bill, and ends in a funded go or no-go.

Copilot Economics Decision Brief

03AI Governance

Who is using AI with our data, and how do we put guardrails on it?

Staff are pasting company data into public AI tools and wiring up unsanctioned agents. Every AI app and agent is discovered, ranked by risk, and brought under governance.

Shadow AI Risk Ledger

Not sure whether your data is ready for Copilot?

Describe what you want to switch on in a 30-minute scoping call. That call names what it would reach today, and what to close first.

Talk through the problem