AI
“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.
Where this is delivered
Data & Automation
We clean up collaboration environments, improve permissions and build practical workflows. Copilot readiness is included when it supports a real rollout.
See the engagements →Three questions, Three kinds of proof
Every engagement ends in documentation your team can act on
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 prioritized implementation plan so it stays switched on safely.
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.
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.
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.
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