AI that assists.
Humans who decide.

PCR's AI layer focuses on two areas: drafting communications and surfacing insights from institutional data. On the communications side, it generates inquiry follow-up emails, re-enrollment nudges, financial-aid status messages, and advancement correspondence — drafts that go into a human review queue before any message reaches a family or donor. On the insights side, it surfaces anomalies in enrollment trends, financial aid utilization, and giving patterns that would take hours to find manually. The AI does not make decisions; it prepares information and drafts for review by your staff.

Staff reviews first. Every AI-drafted communication — inquiry responses, re-enrollment reminders, financial-aid messages, advancement outreach — goes into a human review queue. A staff member approves, edits, or discards each draft before it is sent. There is no automatic sending. PCR designed the system this way deliberately: school communications reflect institutional relationships that require human judgment, not automation. The AI accelerates the drafting step; the admissions or advancement team controls the send decision entirely.

An AI governance layer is the set of controls that determine what AI can suggest, what it cannot send without human approval, what data it can access, and how its outputs are logged. In PCR, the governance layer means: AI drafts are always routed to a review queue; no AI-generated message reaches a student or family without staff sign-off; the system logs which drafts were approved, edited, or rejected; and administrators can set the scope of AI involvement per function. It is the structural answer to the question: who is responsible for what the AI sends?

Yes, at both the system and individual-message level. System-level: administrators configure which communication types AI drafts for, what data it can reference, and which staff roles can approve AI-generated content. Message-level: every draft in the review queue can be approved as-is, edited before sending, or deleted without sending. If a staff member is uncomfortable with a draft, they discard it and write their own. The system tracks both paths — approved drafts and rejections — giving administrators visibility into how the AI is being used across the institution.

No. PCR does not use customer data — student records, financial records, family communications, or any school-specific data — to train or improve its AI models. The AI functions within the context of your school's own data for the purpose of generating drafts and insights for your staff. This is documented in PCR's data processing agreement, which is provided before contract signature. Schools that have governance requirements around student data privacy (FERPA, COPPA, state-level equivalents) should review the DPA with their legal team as part of due diligence.