Solution
Embedded payments for POS software starts with the order
Flint helps new POS companies and payment integrators launch a cleaner payment layer for line items, tax, tips, refunds, merchant onboarding, and remote fallback collection without rebuilding the same post-sale logic around raw charges.
POS Integration
One order rail across app, payment, and support
Your software
Flint order rail
Where POS Teams Get Stuck
The payment integration is rarely the whole problem
The visible ask is card acceptance. The actual workload is keeping payments connected to the sale before, during, and after the buyer interaction.
The processor sees an amount. Your POS sees the sale.
New POS teams usually start with card acceptance, then discover the harder part is keeping items, modifiers, tax, tips, receipts, refunds, and support history attached to the same business object.
In-person rarely stays in-person.
Tabs close later, balances move to a link, support issues need a refund trail, and staff still want the same record after the buyer leaves the counter.
Configuration spreads across devices, locations, and merchants.
As soon as you support multiple installations, you need a coherent way to inherit settings, apply tax by device, and keep merchant onboarding tied to the payment stack.
Flint For Integrators
The product shape that fits a POS software team
Flint is strongest when your team owns the software experience and wants the payment infrastructure to preserve the sale record instead of collapsing everything into raw payment objects.
Order-first instead of charge-first
Orders hold line items, discounts, tips, tax, metadata, and payment state. That makes the order the durable record instead of a raw charge plus your own shadow database.
Payment intents derive from the order
Create payment intents from an order balance rather than re-sending amounts everywhere. The payment layer stays anchored to the same object your POS already cares about.
Multiple payment attempts stay attached
Flint supports paying an order through payment intents or source tokens while keeping receipt and lifecycle context on the order. That matters when a payment has to be retried or resumed.
Tips, tax, and receipts live in one flow
Tips are native to orders and payment intents. Tax can be applied from a supplied address or `device_id`. Order-level receipt flows reduce the usual cross-system cleanup.
Device-aware settings
Devices are first-class resources, and effective settings can resolve by `device_id` or `location_id`. That gives integrators a cleaner base for multi-register or multi-install surfaces.
Merchant onboarding in the same platform
Merchant onboarding sessions support hosted or embedded modes, so the payment activation path can sit closer to the rest of your product instead of becoming a separate project.
Hosted fallback when the counter flow breaks
Checkout sessions, payment links, and invoices give your team remote recovery paths without forcing you onto a second billing stack when the buyer leaves or support takes over.
Refunds and webhooks stay legible
Refunds adjust the financial record tied to the original order. Webhooks and API reads give support and finance something durable to inspect later.
Workflow
Build the payment around the sale instead of rebuilding the sale around the payment
This is the architecture move most POS teams eventually make anyway. Flint just gives you a cleaner starting point.
Create the order from your POS session
Put line items, merchant notes, and metadata on the order first so the payment flow starts from the sale, not from an isolated amount.
Resolve device or location context
Apply tax and effective settings by `device_id` or `location_id` so the payment experience follows the installed surface instead of hard-coded global defaults.
Collect payment in the UI you own
Create a payment intent for embedded checkout, or redirect to a hosted session when the operator needs a fast fallback path.
Keep support, receipts, and refunds on the same record
Follow-up operations stay anchored to the order, which is the difference between a manageable payment system and a pile of post-sale glue code.
Example
const order = await flint.orders.create({
customerId: "cus_01HZ4X8",
lineItems: [
{
name: "Lunch Combo",
quantity: 1,
unitPriceMoney: { amount: 1895, currency: "USD" },
sku: "COMBO-LUNCH"
},
{
name: "Add Bacon",
quantity: 1,
unitPriceMoney: { amount: 250, currency: "USD" }
}
],
metadata: {
posSessionId: "register-4-ticket-9812",
lane: "front-counter"
}
});
await flint.orders.applyTax({
orderId: order.id,
deviceId: "dev_front_counter_04"
});
const paymentIntent = await flint.paymentIntents.create({
orderId: order.id
});
// Flint keeps the payment tied to the order:
// order.netAmounts → subtotal, tip, tax, paid, balance
// order.paymentIntentIds → attempt history
// later refunds still point back to this same saleGood Fits
POS-adjacent use cases where the order model matters early
The earlier your product needs hosted fallback, merchant setup, payment retries, or downstream support operations, the earlier a generic charge-first approach starts to look incomplete.
New POS software
Teams shipping v1 need payment acceptance plus a durable order model before edge cases pile up into a rewrite.
Kiosk and self-serve apps
When recovery links, receipts, and remote support matter just as much as the initial payment screen.
Vertical SaaS with a register surface
Front-desk, counter, and hybrid service businesses that need embedded payments inside their own software, not a separate seller app.
Hybrid in-person and remote workflows
The buyer starts in a POS flow, then later pays the balance through hosted checkout, invoice, or payment link without losing the original context.
Why This SEO Angle Works
POS integrators are usually comparing architecture, not just rates
The core buying decision is whether payments live as an isolated processor layer or as part of a broader order model your team can actually operate.
FAQ
Common questions from POS founders and integrators
Related Pages
Keep the integrator story connected
These are the next pages to read when the evaluation expands from payment acceptance into order architecture, hosted fallback, or POS-versus-platform tradeoffs.