Meet Clema

How does Clema AI Agent work?

A simple, guided way to handle data requests — without the back-and-forth.

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Without Clema, your team faces

0
hours lost annually to
ad hoc requests
0
clarification cycles
per request
01
Claire, a Program Lead, sending a data request

Meet Claire

Claire is a Program Lead who needs enrollment and retention numbers for an upcoming Dean's meeting. She sends a vague request without clear definitions, cohorts, or time frames.

02
John, an IR Analyst, reviewing a data request
Which retention?
What cohort?
Which period?
😓

Meet John

John is an IR Analyst who receives the vague request. He doesn't know which retention data Claire needs, what cohort to use, or which reporting period applies. The clarification process begins.

03
Clema AI interface capturing request details
Clema captured
Metric: Fall enrollment
Scope: By college, FT only
Period: Fall 2024
Ready to answer

Clema steps in

Clema becomes the first point of contact for data requests. It captures Claire's intent, prompts for missing context, and aligns her question with institutional definitions — before it ever reaches John.

04
Clema searching existing data sources
Dashboards
Standard reports
IPEDS data
Match found

Existing sources are checked

Clema searches approved dashboards, standard reports, and IR-maintained spreadsheets for answers that already exist. This prevents duplicate reporting and saves valuable analyst time.

05
Quick response with data and citations

Fall 2024 Enrollment by College

4,231Arts & Sciences
2,847Business
1,596Health
3 min

Answers delivered in minutes

When the data exists, Clema responds in minutes with the metrics and it's source. Claire gets the data she needs for her meeting, and John avoids another reactive request.

06
Structured request sent to IR analyst
Structured Brief
Context: Year-over-year comparison
Purpose: Dean's strategic review
Deadline: March 15, 2025

Only real work reaches IR

If new analysis is truly needed, Clema sends John a clear and structured request with context, purpose, and deadline. No more back-and-forth clarification or multiple follow-ups.

07
Clema learning and building knowledge base
Fall enrollmentRetention ratesIPEDS mappingCohort defsGrad rates
247answers stored

Every answer makes Clema smarter

Completed responses are stored and reused for future requests. Over time, Clema reduces repeat questions and preserves institutional knowledge even if team memebers transition.

Ready to streamline your data requests?

Try Clema AI Agent — and turn data requests into instant answers.

Want the full research behind this workflow?

Download the Free Whitepaper