Step 4 · Governed AI
Governed AI Pilot
Real AI value on student and staff data, without losing control of it.
AI is only as trustworthy as the metric definitions behind it. We select use cases with your leaders, put privacy and governance guardrails in place, and stand up a secure workspace where analysts and researchers can use AI on governed data. The model runs where your data policy requires: a vetted cloud service, your institution's own cloud tenant, or fully private on infrastructure you control. Nothing ships without human sign-off.
What you get
- AI use-case selection and value/risk scoring
- Institutional AI use policy and data-access guardrails (FERPA-aware)
- Deployment option matched to your data: cloud service, institution tenant, or fully private
- Secure AI workspace for IR and analysts
- Two working prototypes; one pilot in production
- Evaluation, monitoring, and a decision memo for scale-up
How you'll know it worked
- A use case with measurable value for students or staff, approved for scale-up or stopped on evidence
- No sensitive data leaves institutional control
Next on the path: Fractional Data Architect
Start with a 30-minute readiness call
Tell us what you are trying to fix or build. You will talk with the architect who does the work.
Led by Victor Manchik, founder and principal data architect