1
Data flows in from every source. Giving records, enrollment data, family communications, classroom transcripts, sacramental records, volunteer hours. Every system that touches a family contributes to the graph.
2
FamilyGraph resolves identity. The encrypted identity core deduplicates across systems and builds a single, coherent profile for every family — connecting their school relationship, parish relationship, and giving history into one record.
3
Context accumulates over time. Every interaction adds signal. A family’s giving pattern over five years. A student’s engagement trajectory across three grade levels. A parent’s volunteer history. The graph grows richer with every record.
4
AI activates the context. A local LLM runs against the accumulated context to surface insights no individual administrator could see manually: lapsed donors likely to re-engage, students whose engagement is declining before grades reflect it, grant opportunities that match the institution’s profile.
5
Decisions improve at every level. The pastor knows which families to call. The principal knows which teachers need support. The development director knows which alumni to steward. The context graph makes everyone smarter without making them busier.