AI Payment Matching for Schools
Let Fundtrak do the heavy lifting. Payments are automatically matched to the right student, the right class, and the right fee — no manual work, no missed records.
98%
Matching accuracy
< 2s
Average match time
40hrs
Saved per month on reconciliation
The problem
The solution
How auto-linking works
Different people prefer different ways to reach out — we’ve got you covered
Whether via transfer, POS, or bank deposit, FundTrak captures the transaction details in real time.
Name, narration, amount, date, and metadata are scanned using our matching engine.
FundTrak compares the payment against your student database using multiple matching rules.
The payment is instantly assigned to the correct student and fee, and their balance is updated.
Beyond basic matching
FundTrak doesn't just match payments — it learns your school's payment patterns and gets more accurate over time.
HOW IT LEARNS
When your staff selects a different student than the AI suggested, FundTrak records the correction and creates a new matching pattern. The sender-customer relationship is updated. Next time the same parent pays, the system already knows who it's for. Schools with 200+ students see the biggest accuracy gains.
If a parent has paid before, their sender account is linked to their child's record. Next payment from the same account? Matched instantly — no AI extraction needed. Confidence score: 95%.
Parents often put their own name in the narration instead of the student's. FundTrak recognises this pattern — matching the family name across parent and student records.
Every match carries a timestamp, the staff member who confirmed it, the AI confidence score, and the signals used. Export the log for audits — what used to take days now takes minutes.
Common questions
FundTrak achieves up to 98% matching accuracy. The system uses three signals — name similarity, sender history, and vector embeddings — to score each match. Accuracy improves over time as the system learns from your school's payment patterns and staff corrections.
If the confidence score is below the threshold, the payment is flagged for manual review. Your staff sees the AI's best suggestions with confidence scores and can select the correct student. The correction is recorded and the system learns from it for future matches.
No. While FundTrak can auto-link instantly using a payment reference (FT-XXXXXX format), it's not required. The AI reads the narration — whatever the parent types — and matches it to the right student using name analysis, sender history, and semantic matching.
Yes. FundTrak works with all major Nigerian banks — GTBank, Access, Zenith, First Bank, UBA, and more. No matter where the parent pays from or which app they use, the transaction flows into your school's account and the matching engine processes it.
Yes. Staff can accept the AI suggestion with one click, or select a different student from the candidate list. When a correction is made, FundTrak creates a new matching pattern from the narration and updates the sender-customer history — so it gets it right next time.
FundTrak recognises sender accounts. If a parent has previously paid for three different children, all three appear as candidates when the next payment arrives. The AI weights sender history heavily in these cases — repeat payers are matched with 95% confidence.
Ready to stop reconciling payments manually?
Start Free — No Card Required