It’s Friday afternoon in Berlin and a gig platform is about to run its weekly payouts. About half its workers live in Kenya, the Philippines and Bangladesh, and hardly any of them want a bank transfer. They’d rather get paid straight into M-Pesa, GCash or bKash, the same wallets they use for rent, groceries and sending money to family.
That habit has quietly changed how payouts work for marketplaces, gig apps, remittance firms and fintechs. Across much of Africa, Asia and Latin America, mobile wallets and other alternative payment methods (APMs) are just how people get paid. You can plug into each wallet provider yourself, one country at a time, or you can join a network that’s done that work already. Most teams sending payouts to mobile wallets in any volume end up going the second way.
The catch is speed. Wallet payouts land in seconds, so a payment sent to the wrong person is usually gone before anyone spots it. AI shows up on both sides here. It screens for fraud, and more and more it sits inside the finance tools that prepare payout runs. Below are five providers worth comparing, plus the controls any of them needs around it.
What counts as an APM, and why it complicates payouts
APMs are basically everything that isn’t a card or a traditional bank wire: mobile money accounts, digital wallets, real-time payment rails and, increasingly, stablecoin wallets. In plenty of emerging markets, a wallet on a phone is the only account someone really uses.
Sending money into that world tends to throw up the same three headaches. The first is fragmentation, since each country has its own favorite wallets, each with separate integration work, compliance rules and settlement quirks. The second is cost that’s hard to see, because transfer fees, FX margins and wallet receiving charges pile on top of each other until the recipient gets noticeably less than expected. The third is fraud that moves at the speed of settlement.
What AI fraud screening can and can’t do
AI screening hunts for signals that often show up before something goes wrong. A wallet added an hour before payday, a withdrawal from a device nobody’s seen before, a name on the account that changed the morning of the transfer. Any of those might be perfectly innocent, so a risk score is a reason to look closer, not evidence of fraud.
It helps to keep three separate checks in mind:
| Check | What it tells you | What it misses |
| Fraud screening | Whether the activity looks odd | Whether it’s actually fraud |
| Account validation | Whether the wallet exists and the name matches | Who asked for the change |
| Independent confirmation | Whether the real recipient approved it | Nothing it’s meant to answer |
That middle row trips people up. Say someone takes over a worker’s email. They can send in a valid wallet they control, update the name on file, and validation will cheerfully pass it. The only thing that catches it is a check through a channel set up earlier, like a call to a phone number already on record or an approval inside the app. Hitting reply on the email asking for the change doesn’t count. And with AI agents changing cybercrime economics, a polished, believable change request costs almost nothing to produce.
The five providers
1. Thunes
Thunes runs what it calls a Direct Global Network, reached through a single API. For wallet payouts, it claims more than 145 wallet brands and over 4 billion mobile and stablecoin wallet accounts. The logos on its page include GCash, M-Pesa, bKash, JazzCash, DANA, OVO, MTN, Grab and WeChat Pay.
Speed is the big selling point. Thunes says 98% of transactions settle instantly, so the money is spendable in the wallet straight away. It also makes a point of treating a $1 reward payout with the same care as a $5,000 transfer, which matters for loyalty and incentive programs. Price and FX fees are shown up front, so recipients know what they’ll get in local currency. FX and liquidity across 90 currencies run through its SmartX Treasury tool, and its compliance setup covers 50 licences.
Best for: platforms, money transfer operators and fintechs that want wide wallet reach and clear pricing without wiring up each wallet separately.
2. Rapyd
Rapyd Disburse handles B2B, B2C and person-to-person payouts, with an API for developers and no-code tools for everyone else. It reaches 190+ countries in 120+ currencies. Its e-wallet payouts cover Southeast Asia and Europe, sitting alongside bank transfers, real-time payment networks and instant card payouts. A payout tracker shows where each payment is, and FX rates are locked before you send.
Best for: teams that want wallets as one option among many, all on a single platform.
3. dLocal
dLocal lives in emerging markets. Its pitch is one API to more than 900 local payment methods in 40+ countries across Africa, Asia, Latin America and the Middle East. Mass payouts go out in local currency, and its partners describe wallet payouts running across that same APM network. It also handles pay-ins, so you can collect and disburse with the same provider.
Best for: global companies that both take and send money in lots of emerging markets.
4. Payoneer
Payoneer’s Mass Payouts covers 190+ countries and territories in 70 currencies, through an API or a bulk file upload. Money sent to a Payoneer account usually arrives within minutes. A bank transfer can take up to three business days, and some markets also support e-wallet payouts. A big plus is that a lot of freelancers and sellers already have Payoneer accounts, which saves onboarding work.
Best for: marketplaces paying big groups of freelancers or sellers, particularly ones already on Payoneer.
5. Nium
Nium’s Global Payouts reaches 190+ countries in local currencies, but wallet support depends heavily on where you’re sending. Recent moves include real-time payouts to Indian bank accounts and wallets, and wider wallet coverage in Malaysia for people who’d rather skip a bank. Bank and card payouts run through the same integration, and Nium publishes a country-by-country playbook of what’s supported.
Best for: businesses that want wallets alongside bank and card payouts and don’t mind checking coverage one market at a time.
Side by side
| Provider | Wallet payouts | Other methods | Stands out for |
| Thunes | 145+ wallet brands, one API | Banks, cards, stablecoin wallets | 98% instant settlement, upfront FX |
| Rapyd | E-wallets in Southeast Asia and Europe | Banks, real-time rails, cards | Broad multi-method platform |
| dLocal | Local methods in emerging markets | Local bank accounts | Pay-ins and payouts together |
| Payoneer | E-wallets in some markets | Payoneer balance, local banks | Huge existing payee base |
| Nium | Digital wallets, varies by country | Banks, cards | Several payout types, one API |
Picking one
Start with your recipients. Write down the specific wallets they actually use. “Philippines” isn’t a wallet, but GCash is. Then check that each provider covers those brands, not just the country.
Next, look at what really lands in the wallet. A cheap transfer fee means little if the exchange rate eats it. Put the transfer fee, the FX rate against that day’s reference rate, any receiving charge, and any cash-out cost side by side, and ask which of those the quote already includes.
“Instant” deserves a follow-up question too. Is the money spendable in the wallet, or has the payout just been submitted?
Then ask about safety and support. Does the provider validate accounts before paying? How does it screen for fraud, and what happens to a flagged payment? And when a worker in Dhaka says the money never showed up, who actually picks up the problem, and how fast?
Don’t hand AI the keys to the payout account
AI assistants are creeping into finance and ops, and the same tools that speed up payout prep can open new ways for money to walk off. OWASP’s 2025 Top 10 for LLM applications calls this “Excessive Agency”: an AI system holding more permission or autonomy than its job requires, including taking big actions without an independent check.
A sensible line is to let AI build payout files, match statements, and summarize wallet activity. Adding recipients, changing payout details, and pressing the final approve button should stay behind human sign-in and a separate step the assistant simply can’t complete. It’s the same split now showing up in global payroll platforms, where software prepares the run and a person approves it. While you’re at it, look at AI connectors that can send or edit things on your behalf, not just the ones that read.
In practice, that comes down to a short list. Make any new or changed wallet beneficiary need a second approver. Keep passwords, one-time codes, and unredacted ID scans out of general AI chats. Switch on two-factor authentication and new-device alerts for payout dashboards. And check which connected tools can merely see payout data and which can actually change it.
Where that leaves you
Mobile wallets are how a huge share of the world wants to be paid, and a good provider turns dozens of local wallets into one integration. Thunes is strongest on wallet reach, instant settlement, and upfront FX. Rapyd, dLocal, Payoneer, and Nium each fit a different mix of countries and payout types.
Picking the provider is only half the setup, though. The rest is fraud screening, account checks, and a human who has to agree before anyone changes where the money goes. If an AI tool on your team could add a new payee tomorrow, how long would it take someone to notice?
FAQs
Q. What are alternative payment methods?
Ways to pay outside cards and bank wires, such as mobile money, digital wallets, real-time payment rails and stablecoin wallets.
Q. Why pay into mobile wallets instead of bank accounts?
In many emerging markets, the wallet is the everyday account. Paying into it reaches people who may not bank at all, and the money is usable sooner.
Q. How does AI help protect wallet payouts?
It flags unusual activity, like a freshly added wallet or an unknown device, for someone to review. It works best paired with account validation and independent confirmation of any change.
Q. Can AI guarantee a payout is legitimate?
No. A risk score weighs signals. It’ll sometimes flag honest payments and sometimes miss bad ones.
Q. What should I compare between providers?
Coverage for your recipients’ actual wallets, what they receive after fees and FX, how fast money becomes usable, the validation and fraud controls on offer, and who helps trace failed payments.
Related: Adaptiv Payments Review: Can It Save High-Risk AI Startups?
| Disclaimer: This article was submitted by a guest contributor for informational purposes only. The views and opinions expressed are those of the contributor. Provider features, fees, coverage, and availability may change over time. Readers should independently verify all details before making financial or business decisions. |
