SmartPayEngine is AI-native financial infrastructure: payments, multi-currency operations, merchant finance, ledger integrity, financial controls, risk and reconciliation — running today in sandbox/test mode.
Payment platforms are usually assembled from disconnected parts: a processor here, a spreadsheet ledger there, and controls bolted on at the end. The result is finance teams who cannot explain a balance and operators who cannot stop a problem quickly.
SmartPayEngine was built the other way round — an append-only ledger at the core, financial controls enforced in the transaction path and the database, an Operations Center over the exceptions, and an intelligence layer that explains what happened.
Six capabilities that compose into an AI-native financial infrastructure platform.
A payments-native assistant that answers questions about transactions, balances and financial state in plain language, with full account context. It reads and explains; it does not move money.
Reversal events can be monitored and audited with their ledger effects traceable. Reversal handling is read-only today; refunds and disputes are the implemented recovery workflows.
Currency-aware balances across USD, EUR and GBP on an append-only double-entry ledger with reconciliation views and audit trails. FX in the sandbox uses fixed constants, not live market rates.
PIN-protected financial actions, per-transaction and daily amount limits, daily transaction-count limits, velocity controls, kill switches and database-level authorization. No certification is claimed.
A controlled environment for evaluating payment workflows, controls, integrations and operational infrastructure without moving real customer funds.
A single console over transactions, risk, reconciliation, disputes, refunds, settlements, control changes and reversal monitoring.
SmartPayEngine is built solo by a founder-engineer, as a functional platform rather than a company with staff, customers or revenue.
SmartPayEngine is designed and built solo — the payment engine, ledger, financial controls, risk workflows, merchant interfaces and the AI layer.
Technical questions, architecture walkthroughs and due-diligence sessions are handled directly by the founder-engineer, with no intermediaries.
There is no in-house compliance, risk or legal function. A production operator would need to establish its own compliance programme and licensing.
Explore the sandbox environment — simulated data only, no real money moves.