10/26/2026
by
Product

Picking an Accounts Payable vendor based on list price is the first mistake a CFO makes. The real cost shows up in the TCO of an accounts payable platform: license, implementation, support, errors, and the time your team loses reviewing readings. Without that full calculation, any comparison between vendors is incomplete.
Before comparing prices, list everything it actually costs to run the platform, not just what shows up in the sales proposal:
AP vendors usually offer three pricing schemes. Each one has different variables you need to factor in:
Build a simple spreadsheet with your real monthly volume, projected 12 and 24 months out, and run each pricing scheme to see how total cost behaves over time, not just in month one.
The gap between a quote and the real cost almost always lives in what never gets priced:
That last point is the core difference between deterministic and probabilistic reading:
| Indicator | Probabilistic reading (per token) | Deterministic reading |
|---|---|---|
| Result for the same invoice | Can vary | Always the same |
| Need for human validation | Ongoing | Not required |
| Cost tied to volume | Variable per token | Predictable |
To estimate how many months it takes to recover the investment, use the reference cost of USD 9 per hour (LATAM accountant, gross plus payroll taxes) and your own invoice volume.
Illustrative example: if your team processes 1,000 invoices a month at 15 minutes each, that's 250 hours a month, or USD 2,250 in operating cost just on manual entry. If that same operation drops to 0 minutes per invoice, that amount becomes the monthly savings you compare against the license fee. Dividing implementation cost by that monthly savings gives you the break-even point in months.
So your TCO doesn't slip after signing, ask that the contract include:
Not necessarily: it depends on your real volume and how much it varies. A fixed scheme works best when volume is stable or growing, since it avoids per-token surprises; if your volume is very low and irregular, it's worth modeling both scenarios before deciding.
Every minute an accountant spends reviewing a reading before posting it adds to the TCO, even if it never shows up on the vendor's invoice. With deterministic reading, that validation stops being necessary because the result is always the same for the same document.
That's the key question to ask before signing: make sure the contract specifies how the price adjusts when volume changes, so the cost stays predictable instead of depending on constant renegotiations.
At Xtract we help you calculate it with your own volumes and decide based on data, not list price.
Book a demo and let's build your TCO with your volumes →Elegir un proveedor de Cuentas por Pagar por el precio de lista es el primer error que comete un CFO. El verdadero costo aparece en el TCO de una plataforma de cuentas por pagar: licencia, implementación, soporte, errores y el tiempo que tu equipo pierde revisando lecturas. Sin ese cálculo completo, cualquier comparación entre proveedores es incompleta.
Antes de comparar precios, hay que listar todo lo que realmente cuesta operar la plataforma, no solo lo que aparece en la propuesta comercial:
Los proveedores de AP suelen ofrecer tres esquemas de precio. Cada uno tiene variables distintas que hay que meter en la cuenta:
Armá una planilla simple con tu volumen mensual real, proyectado a 12 y 24 meses, y aplicá cada esquema para ver cómo se comporta el costo total en el tiempo, no solo en el mes uno.
La diferencia entre un presupuesto y el costo real casi siempre está en lo que no se cotiza:
Esto último es la diferencia de fondo entre una lectura determinística y una probabilística:
| Indicador | Lectura probabilística (por token) | Lectura determinística |
|---|---|---|
| Resultado ante la misma factura | Puede variar | Siempre igual |
| Necesidad de validación humana | Permanente | No requerida |
| Costo asociado al volumen | Variable por token | Previsible |
Para estimar en cuántos meses se recupera la inversión, usá el costo de referencia de USD 9 por hora (contable LATAM, bruto más cargas sociales) y tu propio volumen de facturas.
Ejemplo ilustrativo: si tu equipo procesa 1.000 facturas al mes a 15 minutos cada una, son 250 horas mensuales, es decir USD 2.250 de costo operativo solo en carga manual. Si esa misma operación pasa a 0 minutos por factura, ese monto se convierte en el ahorro mensual que compara contra la licencia. Dividiendo el costo de implementación por ese ahorro mensual obtenés el punto de equilibrio en meses.
Para que el TCO no se te escape después de firmar, pedí que el contrato incluya:
No necesariamente: depende de tu volumen real y de su variabilidad. Un esquema fijo conviene cuando el volumen es estable o creciente, porque evita sorpresas por token; si tu volumen es muy bajo e irregular, conviene modelar ambos escenarios antes de decidir.
Cada minuto que un contador dedica a revisar una lectura antes de contabilizarla se suma al TCO, aunque no aparezca en la factura del proveedor. Con lectura determinística esa validación deja de ser necesaria porque el resultado es siempre el mismo ante el mismo documento.
Es la pregunta clave antes de firmar: pedí que el contrato especifique cómo se ajusta el precio ante cambios de volumen, para que el costo siga siendo predecible y no dependa de renegociaciones constantes.
En Xtract te ayudamos a calcularlo con tus propios volúmenes y a decidir con datos, no con el precio de lista.
Agendá una demo y armemos tu TCO con tus volúmenes →Picking an Accounts Payable vendor based on list price is the first mistake a CFO makes. The real cost shows up in the TCO of an accounts payable platform: license, implementation, support, errors, and the time your team loses reviewing readings. Without that full calculation, any comparison between vendors is incomplete.
Before comparing prices, list everything it actually costs to run the platform, not just what shows up in the sales proposal:
AP vendors usually offer three pricing schemes. Each one has different variables you need to factor in:
Build a simple spreadsheet with your real monthly volume, projected 12 and 24 months out, and run each pricing scheme to see how total cost behaves over time, not just in month one.
The gap between a quote and the real cost almost always lives in what never gets priced:
That last point is the core difference between deterministic and probabilistic reading:
| Indicator | Probabilistic reading (per token) | Deterministic reading |
|---|---|---|
| Result for the same invoice | Can vary | Always the same |
| Need for human validation | Ongoing | Not required |
| Cost tied to volume | Variable per token | Predictable |
To estimate how many months it takes to recover the investment, use the reference cost of USD 9 per hour (LATAM accountant, gross plus payroll taxes) and your own invoice volume.
Illustrative example: if your team processes 1,000 invoices a month at 15 minutes each, that's 250 hours a month, or USD 2,250 in operating cost just on manual entry. If that same operation drops to 0 minutes per invoice, that amount becomes the monthly savings you compare against the license fee. Dividing implementation cost by that monthly savings gives you the break-even point in months.
So your TCO doesn't slip after signing, ask that the contract include:
Not necessarily: it depends on your real volume and how much it varies. A fixed scheme works best when volume is stable or growing, since it avoids per-token surprises; if your volume is very low and irregular, it's worth modeling both scenarios before deciding.
Every minute an accountant spends reviewing a reading before posting it adds to the TCO, even if it never shows up on the vendor's invoice. With deterministic reading, that validation stops being necessary because the result is always the same for the same document.
That's the key question to ask before signing: make sure the contract specifies how the price adjusts when volume changes, so the cost stays predictable instead of depending on constant renegotiations.
At Xtract we help you calculate it with your own volumes and decide based on data, not list price.
Book a demo and let's build your TCO with your volumes →Latest entries
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