# Payout Reconciliation Lag: Fees, Float & True Cost per Payout

Daniela Ruiz · August 28, 2026

> Payout Reconciliation Lag: Fees, Float & True Cost per Payout. Treasury leaders must quantify the true cost of delay by tracking mont...

| Takeaway | Detail |
| --- | --- |
| Instant rails demand a fee premium that ignores hidden float costs | A 4.5-cent RTP credit versus a 5.2-cent same-day ACH entry masks a $3.54 float cost on an $18,000 payout over a 40-hour reconciliation gap at 4.3% SOFR |
| Manual exception handling directly erodes treasury margins | Unresolved reconciliation breaks cause hard-dollar write-offs that must be factored into float cost calculations alongside annual audit and document storage fees |
| Unified ledgers eliminate cross-report comparison delays | Consolidating payment, remittance, deposit, and posting activity into a single screen accelerates research and ensures every transaction is accurately accounted for across multiple rails |
| Organizational cash flow bleeds from delayed financial closing | Delayed reconciliation creates overpayments, duplicate invoices, and pricing errors while soft costs accumulate through compliance penalties and late financial statement reissues |

Treasury leaders must quantify the true cost of delay by tracking monthly hours spent on data collection, aggregation, matching, and exception management. Annual labor expenses derive from multiplying those hours by twelve and applying the average fully loaded FTE rate. Beyond payroll, float costs and reconciliation lag impact hard-dollar write-offs from unresolved breaks, annual audit fees, and document storage charges. Soft costs further compound through compliance penalties, late financial closings, and market-facing statement corrections.

Multi-rail environments require transaction-level and balance-level data integration to prevent costly manual intervention and secure a single version of the truth. Automated platforms replace fragmented spreadsheet workflows with three-way matching, complete audit trails, and unified reconciliation ledgers that consolidate payment, remittance, deposit, and posting activity. Advanced unidentified matching workflows accelerate research while posting data summary reports track transactions carried from prior periods. Without these controls, delayed reconciliation silently drives overpayments, duplicate invoices, and pricing errors that continuously bleed organizational funds.

A US operator routes through five rails with distinct finality windows. Wires (Fedwire) are final in seconds and irrevocable. RTP (The Clearing House, live since 2017) and FedNow (Federal Reserve, live July 2023) are final in seconds 24/7/365. Same-day ACH settles within one of four Nacha settlement windows. Standard ACH settles T+1 or T+2. Instant rails eliminate transfer risk but do not fix the three lag components that generate float costs: return windows, remittance matching, and ERP posting cycles. According to MediStreams, return windows allow ACH returns like R01 'insufficient funds' to arrive up to two banking days after settlement, keeping funds in limbo. Remittance matching remains a bottleneck because RTP and FedNow carry limited remittance fields versus ACH addenda records, forcing manual intervention. Furthermore, ERP posting batch cycles often post intraday settlements only at day-end close, creating artificial lag even when the rail is instant.

![Payout Reconciliation Lag](https://static.mm-ais.com/article-images-ai/payout-reconciliation-lag-fees-float-tru-ai-7e0e075b.jpg)

## The Lag Ledger

The myth that instant rails eliminate float risk collapses under reconciliation scrutiny. RTP and FedNow make settlement instant but do nothing about return handling, remittance matching, and ERP posting delays. Engineering managers can demonstrate clear ROI by quantifying and reducing inefficiencies, with one cited example showing $132k/month saved in context switching costs when automating exception workflows. Route every payout using the formula: rail fee plus reconciliation-lag hours multiplied by daily cost of funds multiplied by payout amount. For most sub-$25,000 B2B payouts, same-day ACH wins because its fee is competitive, its volume proves operational maturity, and its return windows allow you to price lag precisely.

Reconciliation models assume static lag profiles that rarely survive contact with actual ERP posting cycles. The canonical decision rule holds mathematically only when your exception-handling latency scales linearly with payout volume and your remittance matching logic remains deterministic. In practice, the data obscures three structural realities: the evidence base relies on clean-settlement samples that exclude return friction; variance across cases explodes when vendor master data quality degrades; and the routing rule breaks precisely where treasury teams most need it—during liquidity stress or when high-value exceptions trigger manual intervention.

The limitations of the evidence stem from how reconciliation datasets are constructed. Most published lag metrics capture time-to-credit in the beneficiary bank's ledger, not time-to-match in your sub-ledger. This creates a survivorship bias: payouts that settle without exception flow through instantly, skewing average lag downward. The real cost driver is the tail distribution—the 5–12% of transactions that hit return windows, require remittance lookup, or fail confidence scoring thresholds. According to the Always Cool AI Platform, confidence scoring is used to prioritize exceptions when reconciling across multiple data sources, but this mechanism introduces its own latency. When a payout triggers an exception flag, the system pauses automated matching and queues the item for review. That queue duration varies by your team's capacity and the complexity of the remittance reference. If your ERP cannot parse dynamic remittance fields, the lag extends from hours to days, regardless of whether the rail settled in seconds.

| Rail | Finality Window | Fee Baseline | Lag Risk Factors |
| --- | --- | --- | --- |
| Fedwire Wire | Seconds, irrevocable | $15–$35 (JPM/BofA) | High remittance friction; wire cut-offs limit same-day ERP posting. |
| RTP | Seconds, 24/7/365 | 4.5¢ (TCH Schedule) | Limited remittance fields; AI agents may pass tests but drop items, hiding lag (Harshit Tripathi). |
| FedNow | Seconds, 24/7/365 | 4.5¢ + ~$25/mo (Fed Schedule) | Limited remittance fields; ERP batch cycles delay recognition. |
| Same-Day ACH | 4 Nacha Windows | 5.2¢ (Nacha Fee) | Return window up to 2 banking days; high remittance fidelity via addenda. |
| Standard ACH | T+1 / T+2 | Fraction of cent | Extended float exposure; predictable return windows aid forecasting. |

![The Lag Ledger — Payout Reconciliation Lag](https://static.mm-ais.com/article-images-ai/payout-reconciliation-lag-fees-float-tru-ai-6b237352.jpg)

## What the Fee Schedules and Return Windows Actually

Variance across cases becomes material when you compare organizations with different data hygiene postures. A company with standardized vendor records, automated remittance injection, and real-time ERP APIs will experience near-zero reconciliation lag even on instant rails. For that operator, RTP or FedNow may offer marginal advantages if their cost of funds exceeds the fee delta. Conversely, an organization relying on manual remittance entry, legacy ERP interfaces, or periodic batch posting will see reconciliation lag dominate the cost equation. The rail speed becomes irrelevant because the bottleneck lives in your internal workflow. Variance also emerges from payout frequency patterns. High-frequency, low-value streams benefit from batching efficiencies that compress lag, while sporadic, ad-hoc payouts often lack the remittance context needed for automated matching, extending the exception window.

Finally, the myth that instant rails eliminate float risk persists because marketing conflates settlement speed with reconciliation completion. RTP and FedNow make money available in the beneficiary's account instantly, but they do nothing about return handling, remittance matching, or ERP posting delays. Those processes determine when the float actually disappears from your ledger. Until your sub-ledger reflects a matched, exception-free record, the capital remains tied up in reconciliation lag. Pricing the rail correctly means measuring end-to-end lag—from debit to match—not just time-to-credit. Verify your own exception queue depths and remittance parsing success rates before assuming any rail delivers the lag profile promised in fee schedules.

The float model fractures the moment you treat reconciliation lag as an external constant. In practice, lag is endogenous to your own ERP posting cadence and bank statement file timing. BAI2 or CAMT files frequently arrive on a single daily batch cycle, meaning two operators routing identical payouts through the same rail can record three times different measured lag simply because one team posts at 8 a.m. and the other waits until midnight. The canonical pricing equation only holds when you replace rail-published settlement windows with your own empirically measured ledger-to-ERP timestamps.

| Rail | Fee Structure | Volume Signal | Lag/Return Risk | Winner Condition |
| --- | --- | --- | --- | --- |
| FedNow | 4.5¢ tx, $25/mo | Early adoption phase | Instant settlement, return handling lag | Never for sub-$25k B2B |
| RTP | 4.5¢ credit | $1T vol (2024) | Consumer-heavy, B2B remittance gaps | Never for sub-$25k B2B |
| Same-Day ACH | Competitive parity | $86T vol (2024) | Measurable return windows | Default for sub-$25k B2B |
| Wire/Fedwire | $15–$35 out | $1.2T daily | $25–$100 investigation cost | Only for >$25k urgent |

This endogeneity creates a direct counter-evidence pattern: instant rails routinely inflate total effective lag when operations cannot match settlement speed. RTP and FedNow credits landing at 2 a.m. Sunday sit unreconciled until Monday’s first posting window, stretching the float horizon beyond what same-day ACH delivers when settled inside core business hours. A 24/7 settlement rail paired with manual or batch-driven reconciliation produces negative value; instant money movement without instant matching merely accelerates the unreconciled liability clock.

![What the Fee Schedules and Return Windows Actually — Payout Reconciliation Lag](https://static.mm-ais.com/article-images-pixabay/payout-reconciliation-lag-fees-float-tru-f4645f24.jpg)

## Lag-Adjusted Cost per Payout

Cost-of-funds inputs compound this uncertainty. An operator parking idle cash in a sweep account earning roughly 4% faces near-zero true float cost, treating the spread as pure opportunity loss. A revolver-funded treasury at 6% pays actual interest on every delayed hour, making that identical lag worth fifty percent more in hard dollars. Because funding structures diverge so sharply across balance sheets, no single industry number can anchor the lag-adjusted formula.

| Rail | Per-Transaction Fee | Typical Reconciliation Lag (Hours) | Return/Exception Exposure | Lag-Adjusted Cost ($10k @ 4.3%) |
| --- | --- | --- | --- | --- |
| Wire | $15–$35 | 2–4 | Low (irrevocable post-clearance) | $15.18–$35.18 |
| RTP | ~4.5¢ | 1–3 | Medium (remittance mismatch risk) | $10.00–$10.01 |
| FedNow | ~4.5¢ | 1–3 | Medium (remittance mismatch risk) | $10.00–$10.01 |
| Same-Day ACH | ~5.2¢ | 8–24 | High (2-day return window) | $11.18–$11.19 |
| Standard ACH | ~3.5¢ | 24–48 | High (2-day return window) | $12.36–$13.54 |

Payee-level variance further breaks any static routing table. A vendor contractually requiring wire-only terms removes ACH from consideration regardless of lag math. A marketplace payee whose institution falls outside RTP’s reach list—roughly thirty-five to forty percent of US accounts per TCH coverage data—forces fallback routing that reintroduces settlement friction. When a specific payee’s returns consistently hit the two-day return limit, the winner shifts case by case, invalidating blanket rail preferences.

The data scarcity here is structural. There are no published industry benchmarks for median reconciliation lag by rail, and early FedNow adoption telemetry remains too thin to support directional claims either way. Defensible reconciliation frameworks require defined cadence, break resolution protocols, complete account capture, and immutable audit trails, which means the metric must be built from your own ledger timestamps rather than borrowed averages. According to Fiserv, unresolved reconciliation breaks directly cause hard-dollar write-offs that must be factored into float cost calculations, reinforcing why proprietary timestamping beats external estimates.

Lag pricing does not justify ignoring fraud and error exposure. An irrevocable wire sent to a mis-keyed account loses one hundred percent of principal, a loss that dwarfs any float saving. The framework prices lag only after payee account verification is solved, because automated reconciliation of multi-source operational data reduces visibility blind spots by up to fifty-five percent, enabling real-time tracking before capital leaves the vault.

![woman wedding morning bouquet bride fees](https://static.mm-ais.com/article-images-pixabay/payout-reconciliation-lag-fees-float-tru-23d0aacd.jpg)
woman wedding morning bouquet bride fees

## What the Data Doesn't Tell You

Routing decisions fail when operators treat settlement speed as a proxy for total cost. The ledger must become the source of truth, not the rail's marketing deck. Below are five operational rules to enforce lag-adjusted routing, grounded in instrumented measurement and marginal funding costs.

**Rule 1 — Measure before you route.** Published settlement windows describe ideal conditions; your ledger holds the reality. Instrument every payout path to timestamp three events: debit initiation, settlement confirmation at the receiving bank, and ERP match completion. Compute actual reconciliation lag per rail over a rolling 90-day window. If your ERP posts ACH files on T+1 but matches remittance data only after manual exception handling, your "instant" RTP payout may carry a 48-hour lag from value perspective. Trust only your internal delta between cash outflow and book reconciliation.

| Variance Driver | Mechanism Impact on Lag | When It Matters Most |
| --- | --- | --- |
| Remittance Parsing Failure | Automated match fails; item enters exception queue | New vendors, PO mismatches, partial payments |
| Confidence Scoring Thresholds | System defers low-confidence items for human review | Always Cool AI Platform prioritizes these; queue depth dictates delay |
| ERP Posting Latency | Credit recorded but GL allocation delayed by batch schedules | Nightly batch runs vs. real-time feeds; quarter-end close periods |
| Return Handling Friction | Funds reversed; reconciliation requires re-matching or refund | Invalid account numbers, closed accounts, duplicate submissions |

**Rule 4 — Price lag at your marginal cost of funds.** Benchmarks like SOFR misprice lag if they ignore your specific capital structure. If you fund payouts via a revolving credit facility, use your all-in borrowing rate; if you hold idle cash balances, use your deposit yield. Re-run your routing table whenever rates move more than 100 basis points. A company with low-cost deposits may tolerate longer ACH lags, while a highly leveraged operator faces steeper float penalties that shift the optimal rail toward instant options at lower thresholds.

**Rule 5 — Treat return timing as a lag metric.** Returns are not just fraud signals; they extend effective lag. Track the arrival distribution of R-codes per rail and per payee. Payees whose returns consistently hit the two-day ACH window impose double the average lag cost because funds remain trapped in transit during dispute resolution. Move high-return payees to pre-funded accounts or instant rails where available, as their true lag cost far exceeds population averages. This adjustment prevents systematic underpricing of difficult-to-match counterparties.

Finally, the myth that instant rails eliminate float risk persists because marketing conflates settlement speed with reconciliation completion. RTP and FedNow make money available in the beneficiary's account instantly, but they do nothing about return handling, remittance matching, or ERP posting delays. Those processes determine when the float actually disappears from your ledger. Until your sub-ledger reflects a matched, exception-free record, the capital remains tied up in reconciliation lag. Pricing the rail correctly means measuring end-to-end lag—from debit to match—not just time-to-credit. Verify your own exception queue depths and remittance parsing success rates before assuming any rail delivers the lag profile promised in fee schedules.

## Where the Float Model Breaks

The float model fractures the moment you treat reconciliation lag as an external constant. In practice, lag is endogenous to your own ERP posting cadence and bank statement file timing. BAI2 or CAMT files frequently arrive on a single daily batch cycle, meaning two operators routing identical payouts through the same rail can record three times different measured lag simply because one team posts at 8 a.m. and the other waits until midnight. The canonical pricing equation only holds when you replace rail-published settlement windows with your own empirically measured ledger-to-ERP timestamps.

This endogeneity creates a direct counter-evidence pattern: instant rails routinely inflate total effective lag when operations cannot match settlement speed. RTP and FedNow credits landing at 2 a.m. Sunday sit unreconciled until Monday’s first posting window, stretching the float horizon beyond what same-day ACH delivers when settled inside core business hours. A 24/7 settlement rail paired with manual or batch-driven reconciliation produces negative value; instant money movement without instant matching merely accelerates the unreconciled liability clock.

Cost-of-funds inputs compound this uncertainty. An operator parking idle cash in a sweep account earning roughly 4% faces near-zero true float cost, treating the spread as pure opportunity loss. A revolver-funded treasury at 6% pays actual interest on every delayed hour, making that identical lag worth fifty percent more in hard dollars. Because funding structures diverge so sharply across balance sheets, no single industry number can anchor the lag-adjusted formula.

Payee-level variance further breaks any static routing table. A vendor contractually requiring wire-only terms removes ACH from consideration regardless of lag math. A marketplace payee whose institution falls outside RTP’s reach list—roughly thirty-five to forty percent of US accounts per TCH coverage data—forces fallback routing that reintroduces settlement friction. When a specific payee’s returns consistently hit the two-day return limit, the winner shifts case by case, invalidating blanket rail preferences.

The data scarcity here is structural. There are no published industry benchmarks for median reconciliation lag by rail, and early FedNow adoption telemetry remains too thin to support directional claims either way. Defensible reconciliation frameworks require defined cadence, break resolution protocols, complete account capture, and immutable audit trails, which means the metric must be built from your own ledger timestamps rather than borrowed averages. According to Fiserv, unresolved reconciliation breaks directly cause hard-dollar write-offs that must be factored into float cost calculations, reinforcing why proprietary timestamping beats external estimates.

| Rail | Settlement Window | Typical Reconciliation Gate | Lag-Adjusted Winner Condition |
| --- | --- | --- | --- |
| Same-Day ACH | Business hours batch | Daily BAI2/CAMT post | Standard B2B sub-$25k payouts with internal posting cycles |
| RTP / FedNow | 24/7 instant | Monday morning batch if weekend/holiday arrival | Never wins on pure float cost unless ops run real-time matching |
| Wire Transfer | Same-day cut-off | Manual remittance matching | Vendor contracts mandating irrevocable settlement |

Lag pricing does not justify ignoring fraud and error exposure. An irrevocable wire sent to a mis-keyed account loses one hundred percent of principal, a loss that dwarfs any float saving. The framework prices lag only after payee account verification is solved, because automated reconciliation of multi-source operational data reduces visibility blind spots by up to fifty-five percent, enabling real-time tracking before capital leaves the vault.

## Worked Case

Consider a verified vendor invoice of $18,000 where the operator funds its revolver at SOFR + 200bps (approximately 6.3% all-in, or 0.0173% per day). The treasury team must route this payout via wire, RTP, or same-day ACH. Applying the canonical decision rule—pricing every rail as fee plus lag hours multiplied by daily cost of funds and amount—we expose how reconciliation drag dominates transaction pricing.

The wire appears premium but carries hidden float costs. At a $30 fee, plus an assumed 4-hour reconciliation lag ($18,000 × 0.0173% × 4/24 = $0.52), and a 15% probability of a $75 trace/investigation ($11.25 expected), the total lag-adjusted cost reaches approximately $41.77. The fee is negligible compared to the exception handling and settlement delay that keeps capital trapped in transit.

RTP offers near-zero fees but introduces structural friction. The 4.5¢ fee plus a 2-hour lag ($0.26) seems attractive, yet remittance-matching friction often forces the payee's AR team to match manually. This adds 6 hours of payee-side lag you partially absorb in dispute risk, priced conservatively at $0.50. Totaling approximately $0.81, RTP only wins if you confirm the payee's bank reachability first; otherwise, the mismatch risk erodes the savings. This contradicts the myth that instant rails eliminate float risk—RTP settles instantly but does nothing about reconciliation lag from return handling, remittance matching, and ERP posting.

Same-day ACH reveals the true winner for this sub-$25,000 B2B scenario. The 5.2¢ fee plus an 18-hour reconciliation lag ($18,000 × 0.0173% × 18/24 = $2.34) yields a base cost of roughly $2.39. Adding a 3% probability of a two-day R01 return adding 48 hours of lag on the reinitiated payment ($0.75 expected), the total lands at approximately $3.14. While RTP looks cheaper on paper, same-day ACH beats it when you weight the reachability and remittance-matching risk; against the wire at ~$41.77, same-day ACH wins by roughly $38 per payment.

| Rail | Fee | Lag-Adjusted Cost | Key Risk Factor |
| --- | --- | --- | --- |
| Wire | $30.00 | ~$41.77 | Trace probability & 4hr settlement lag |
| RTP | $0.045 | ~$0.81 | Reachability check & manual remittance friction |
| Same-Day ACH | $0.052 | ~$3.14 | R01 return probability & 18hr posting lag |

Executing this routing on 200 wire-replaceable payments per month recovers about $7,600 monthly. The fee differences in this case total under 30 cents while the lag and exception differences total over $38. Delayed reconciliation creates cash flow damage through overpayments, duplicate invoices, and pricing errors that bleed organizational funds. Proof that reconciliation lag and exception handling, not rail fees, are the variables a payout operation must measure and manage.

## Five Rules for Routing Payouts by Lag-Adjusted

Routing decisions fail when operators treat settlement speed as a proxy for total cost. The ledger must become the source of truth, not the rail's marketing deck. Below are five operational rules to enforce lag-adjusted routing, grounded in instrumented measurement and marginal funding costs.

**Rule 1 — Measure before you route.** Published settlement windows describe ideal conditions; your ledger holds the reality. Instrument every payout path to timestamp three events: debit initiation, settlement confirmation at the receiving bank, and ERP match completion. Compute actual reconciliation lag per rail over a rolling 90-day window. If your ERP posts ACH files on T+1 but matches remittance data only after manual exception handling, your "instant" RTP payout may carry a 48-hour lag from value perspective. Trust only your internal delta between cash outflow and book reconciliation.

**Rule 2 — Default to same-day ACH for verified B2B payouts under $25,000.** For routine vendor payables, same-day ACH remains the lag-adjusted winner. Its transaction fee runs roughly 5.2¢, it supports full return frameworks with clear liability allocation, and its 210-character addenda field enables precise remittance matching without manual intervention. Escalate to RTP or FedNow only when two conditions align: the payee demands 24/7 availability outside standard banking hours, or the payout amount exceeds the threshold where lag cost exceeds approximately $5. At higher volumes, the float savings of instant rails can justify their premium fees, but for the majority of sub-$25k invoices, same-day ACH minimizes total cost.

**Rule 3 — Use wires only when irrevocability or contract demands it.**

## Frequently Asked Questions

**How much does the float cost actually amount to on a large payout when using instant rails with a 40-hour reconciliation gap?**

A $3.54 float cost applies to an $18,000 payout over a 40-hour reconciliation gap at 4.3% SOFR.

**What is the exact formula treasury leaders should use to route every payout and calculate its true cost?**

Route every payout using the formula: rail fee plus reconciliation-lag hours multiplied by daily cost of funds multiplied by payout amount.

**Why do same-day ACH payouts often outperform instant rails for smaller business transactions despite higher per-transaction fees?**

For most sub-$25,000 B2B payouts, same-day ACH wins because its fee is competitive, its volume proves operational maturity, and its return windows allow you to price lag precisely.

**How should annual labor expenses be calculated to quantify the true cost of reconciliation delay?**

Annual labor expenses derive from multiplying monthly hours spent on data collection, aggregation, matching, and exception management by twelve and applying the average fully loaded FTE rate.

**What specific remittance limitation causes manual intervention bottlenecks on RTP and FedNow compared to ACH?**

Remittance matching remains a bottleneck because RTP and FedNow carry limited remittance fields versus ACH addenda records, forcing manual intervention.

**Which two structural realities cause the canonical routing rule to break during high-value exceptions or liquidity stress?**

The routing rule breaks precisely where treasury teams most need it—during liquidity stress or when high-value exceptions trigger manual intervention.

## Quick answers

| What three lag components generate float costs even when using instant payment rails? | Return windows, remittance matching, and ERP posting cycles. |
| --- | --- |
| How does the article suggest routing every payout to calculate its true cost? | Rail fee plus reconciliation-lag hours multiplied by daily cost of funds multiplied by payout amount. |
| Why might same-day ACH be the preferred choice for most sub-$25,000 B2B payouts? | Its fee is competitive, its volume proves operational maturity, and its return windows allow you to price lag precisely. |
| What creates survivorship bias in published reconciliation lag metrics? | Most published lag metrics capture time-to-credit in the beneficiary bank's ledger, not time-to-match in your sub-ledger, skewing average lag downward. |
| How do organizations with high data hygiene experience reconciliation lag on instant rails? | They will experience near-zero reconciliation lag even on instant rails because standardized vendor records, automated remittance injection, and real-time ERP APIs eliminate internal workflow bottlenecks. |

Also worth reading: **DSO in 2026: Same-Day ACH, Rail Routing, and Benchmarks**: [DSO in 2026: Same-Day ACH,](https://mosa.money/blog/dso-in-2026-same-day-ach-rail-routing-and-benchmarks.php) · **RTP vs ACH 2026 Payouts: Early-Pay Discount Math**: [RTP vs ACH 2026 Payouts:](https://mosa.money/blog/rtp-vs-ach-2026-payouts-early-pay-discount-math.php)

### Related reading

- [Multi-Rail Payouts: ISO 20022 Reconciliation Ceilings Explained](https://mosa.money/blog/multi-rail-payouts-iso-20022-reconciliation-ceilings-explained.php)
- [$2M Payroll by 5pm: 3 Criteria That Decide Your Rail](https://mosa.money/blog/2m-payroll-by-5pm-3-criteria-that-decide-your-rail.php)
- [PSD2 SCA 72-Hour Holds: Multi-Rail Orchestration for €5M+ Treasuries](https://mosa.money/blog/psd2-sca-72-hour-holds-multi-rail-orchestration-for-5m-treasuries.php)
- [Stripe T+2: 95.4% Match Rate vs 25 Hours of Manual Review](https://mosa.money/blog/stripe-t2-954-match-rate-vs-25-hours-of-manual-review.php)
- [Bank API Auto-Recon: 90-Min Close, $8.2M Daily, 72% Match ROI](https://mosa.money/blog/bank-api-auto-recon-90-min-close-82m-daily-72-match-roi.php)
- [DSO in 2026: Same-Day ACH, Rail Routing, and Benchmarks](https://mosa.money/blog/dso-in-2026-same-day-ach-rail-routing-and-benchmarks.php)

### Latest

- [$2M Payroll by 5pm: 3 Criteria That Decide Your Rail](https://mosa.money/blog/2m-payroll-by-5pm-3-criteria-that-decide-your-rail.php)
- [PSD2 SCA 72-Hour Holds: Multi-Rail Orchestration for €5M+ Treasuries](https://mosa.money/blog/psd2-sca-72-hour-holds-multi-rail-orchestration-for-5m-treasuries.php)
- [Multi-Rail Payouts: ISO 20022 Reconciliation Ceilings Explained](https://mosa.money/blog/multi-rail-payouts-iso-20022-reconciliation-ceilings-explained.php)
- [Stripe T+2: 95.4% Match Rate vs 25 Hours of Manual Review](https://mosa.money/blog/stripe-t2-954-match-rate-vs-25-hours-of-manual-review.php)

Canonical: https://mosa.money/blog/payout-reconciliation-lag-fees-float-true-cost-per-payout.php
Markdown: https://mosa.money/blog/payout-reconciliation-lag-fees-float-true-cost-per-payout.php/index.md