Automation.
More time for people.

Automate repetitive record checks, document reviews, and report preparation with AI tools that follow your program rules. Your team reviews the results and makes the final decisions.

Your program rules. Your team’s final say.

Your instruction

Review Term 2 fee applications. Flag missing documents and prepare the review file.

Openlabs Africa Automation

Fee application review

A clearer starting point.

Illustrative fee application review
StudentReview statusBalance
Alice WanjiruPreparedKES 42,500
Brian OtienoMissing receiptReview
Cynthia AchiengPreparedKES 28,100

Prepared for review.
Your team makes the final decision.

Fee statements · Student records · Program rules

Start with the task.
See what comes together.

Explore how automation prepares fee application reviews, letter checks, and term reports for your team.

Bring clarity to the fee review.

Bring fee statements, student records, and program rules together. Compare the details and flag the files that need a closer look.

Records brought together

  • Fee statements
  • Fee structures
  • Student profiles
Discuss this workflow
The instruction

Review Term 2 fee applications and prepare a workbook for the finance team.

Excel workbook

Fee application review

A receipt is missing from Brian’s application. The payable amount needs staff review.

Fee application review: fictional example records
StudentReview noteBalance
Alice WanjiruPreparedKES 42,500
Brian OtienoMissing receiptReview
Cynthia AchiengPreparedKES 28,100
David MwangiBalance mismatchReview

Over to your teamConfirm the flagged records before approving payments.

Illustrative example · Fictional records · No live data

A clear path through
the paperwork.

The preparation follows your program’s context, with exceptions surfaced before your team makes a decision.

  1. Give an instruction

    Define the task: review fee applications, check letters, or prepare a term report.

  2. Bring records together

    Collect student profiles, school records, grades, documents, and letters from approved sources.

  3. Read and structure

    Extract the details your team needs without rebuilding every spreadsheet by hand.

  4. Apply your program rules

    Organize records by student category, term, school, donor, and form status.

  5. Flag the exceptions

    Surface missing files, inconsistent balances, and unusual values for staff review.

  6. Prepare the output

    Turn the review into an Excel workbook, PDF, Word document, or dashboard report.

AI prepares.
Your team decides.

Scholarship decisions need context and care. Automation helps organize the evidence; staff review the exceptions and approve the next step.

Explore the connected platform
Your rules guide the review.
Use the categories, terms, document requirements, and processes that belong to your program.
Exceptions stay visible.
Missing evidence and inconsistent figures are marked for attention, so they stay part of the conversation.
Approval stays with your staff.
Prepared reports support professional judgment. Your team reviews the findings and decides what happens next.

Useful work. Familiar formats.

Take the review into the tools your finance, operations, and program teams already use.

For the next finance review.

Excel workbooks with student records, document status, balances, and payable amounts in structured rows.

For the bigger picture.

PDF summaries that bring term progress, review notes, and student outcomes together for boards and donors.

For a more personal update.

Editable Word documents for donor updates, application reviews, recommendations, and program reports.

Illustrative document previews. Outputs can also be prepared as dashboard reports.

What could your team do
with less admin?

Bring us a repeatable scholarship task. Let’s explore how automation could fit your program.

Let’s talk about your workflow