Developer Builds AI Payment Reconciler That Refuses to Guess When Unsure

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A developer built Recona, an AI-powered payment reconciliation tool for small businesses and freelancers in Nigeria, as part of the Global AI Hackathon Series with a July 2026 deadline. The system uses Qwen to match incoming Paystack payments against open invoices and automates overdue payment reminders without human involvement on straightforward cases. During live testing, Qwen correctly identified the likely matching invoice in its reasoning but returned only 30% confidence and declined to commit to an answer when a payment reference was unrecognizable and the amount was exactly half the invoice value. The developer designed the system so that auto-closing an invoice requires exact amount, matching currency, and a confidence score above a set threshold — verified by deterministic code rather than model output alone. The real-world test revealed an unexpected challenge: a model cautious enough to avoid wrong guesses may still leave humans reviewing cases where it actually reasoned correctly but withheld a firm answer.

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