Purchasing Guides / University Enrollment & Student Support Reports

University Enrollment & Student Support Reports

Combine enrollment and support records into checked reports showing where students need follow-up.

Yearly running cost

Assuming 1,200 reports a year

By hand
$81K / year
1,800 hours of work
Subscription
n.a.
This workflow
$58 / year
Machine usage only; setup, hosting and review are extra.
Which campus reporting do you need?

Combine enrollment and support records into checked reports showing where students need follow-up.

One report includes up to 1,000 student records.

No automated admissions, grades, aid decisions or profiling by protected traits. Keep personal data out of public job posts; student safeguarding concerns go to authorized staff.

What is included

Calculate counts in code before drafting commentary. Use deterministic cohort definitions, role-based access and small-group suppression agreed with your institution. A support flag is not a prediction of student ability.

Calculate counts in code before drafting commentary. Use deterministic cohort definitions, role-based access and small-group suppression agreed with your institution. A support flag is not a prediction of student ability.

Source schemas: up to 3 agreed export schemas.

Report measures: up to 10 cohort measures.

Model input budget: up to 6,000 tokens across the reference run.

Model output budget: up to 1,500 tokens across the reference run.

Standard independent test set: at least 100 reports.

Strict independent test set: at least 200 reports.

Reference application CPU: 2 cores.

Reference application memory: 4 GB.

What standard do you need?

Choose the acceptance targets your provider must demonstrate on your own test material.

How these standards are measured

Hold out complete cohorts and reporting periods. Include duplicate identifiers, late status changes, small groups, restricted records and withdrawn students. Agree the holdout set before tuning. Report each metric with its numerator, denominator and exclusions; abstentions count against coverage. Test all inputs, including failures, rather than only accepted results.

Targets for your selected standard
What is checkedTarget
Correct cohort countsCounts matching independently calculated source totals divided by all requested cohort counts.≥100%
Correct linked student recordsCorrect record links divided by all suggested links; unresolved identities stay separate.≥99%
Required follow-ups includedAgreed rule-based follow-ups surfaced divided by all labeled follow-ups; missed source records count as failures.≥95%
Approval and data controlsPassed control cases divided by all independently tested unauthorized-action, stale-input and sensitive-data cases; any critical failure rejects delivery.≥100%

Targets apply to the agreed independent test set, not every possible future input. During the pilot, a person reviews every result. Any unauthorized action or sensitive-data exposure fails acceptance.

How quickly do you need each report?

Choose the time from accepted input to a reviewable report. Human review and waiting for source access are separate.

Timing details

Measure wall-clock time including queueing, model calls, validation and permitted retries. Report failures and deadline misses. Faster targets need pilot testing; they are not vendor benchmarks.

The target applies to at least 95% of agreed test runs, with 1 in progress at a time.

How much should each report cost?

Choose a machine-cost target per report. A lower cap may limit model calls and iterations.

Cost details

Includes reference model usage, a retry allowance and allocated hosting at the stated volume. Human review, source-system subscriptions and paid connector access are separate. A tighter target must preserve the selected standards in the pilot.

Reference machine cost: $0.35 – 0.65 per report at 100 reports a month. The selected cap is a target to test, not a replacement for this estimate.

Where do you want it to run?

Run the workflow in your cloud or on your own machine. Choose separately whether it may use an external AI model.

Data and access details

Run in your controlled cloud environment with scoped access and retained review records.

Use an approved external model with the agreed data-processing terms and minimum necessary input.

Local hosting does not itself keep data offline. Connected business systems may still use the network. Private inference needs suitable hardware and a separate measured running cost; access and retention rules must be agreed before real data is used.

How do you want to use it?

Choose a browser interface, an MCP tool for your current agent, or a standalone agent.

Anything else your provider should know?

Optional. Your choices are included automatically.

Common questions

When should I buy this instead of subscribing?

Buy when you need this work to run inside your own process with your own rules. Subscribe when an existing product already fits and you prefer its managed support.

Will it decide which students are at risk?

No. It reports agreed facts and outstanding actions. Staff interpret the context and decide what support is appropriate.

Can I ask for a different system or workload?

Yes. Add it to your brief and agree the scope and final price with your provider. Extra connections, permissions or larger workloads can change the guide price.

What do I still need to maintain?

Keep source access and rules current, review failures and retest changes. Ongoing support is optional and priced separately; the setup price is not a managed-service subscription.

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