AI Intelligence

Operational Intelligence

Context for the people closest to the work — teachers, faculty, department heads, and operational managers — scoped to the groups they are actually responsible for.

Talk to us The AI architecture

Ask about your institution

Example

Which classes need attention this week?

3 classes may require attention

Attendance trendDeclining
Academic trendFlat
Recent changes2 this week

How it works

Signals first, then reasoning.

Scoped to responsibility

A teacher sees their own classes and students. A department head sees their department. Scope follows the permission model, not a separate configuration.

Group-level patterns

Attendance and academic patterns are read at the level a person can act on — a section, a course, a shift — rather than as institution-wide aggregates.

Prioritization before explanation

The ordering is computed deterministically. AI explains why something is near the top, it does not decide the ranking on its own.

Deliberately narrow

Teacher-facing views carry academic and attendance context only. Fee and payment information is not exposed in them.

Asked in plain language

Questions can be typed in plain language, but the answer resolves to the same structured records and signals the rest of the product uses.

Inside the ERP

This is one capability within the product, not a separate assistant sitting beside it. Every answer links back to the record it came from.

In the product

For the person running the group.

The operational half of the intelligence layer: fewer numbers, closer to the work.

Attendance patterns within a class or section
Academic changes since the last assessment
Students whose patterns are worth a closer look
Class- and course-level trends
Contextual insights tied to the underlying records
Plain-language questions over structured data