Section 05

Where the evidence is weak

Nine things this work does not establish, and three figures in general circulation that do not survive checking. Both belong here — before either interpretation — because they change how much weight the conclusions can carry.

Why this section exists, and why it is here

Most analysis puts its caveats at the end, in smaller type, after the reader has already formed a view. That ordering is a choice about who the document is for. This one is placed before both interpretations so a reader can test either argument against the missing evidence before accepting it.

A gap here means a question we could not answer, recorded as unanswered rather than filled with a plausible estimate. Each one is scored by how much of the analysis leans on it, so that a reader can see which unknowns are load-bearing and which are merely untidy.

What is not established

Each of these was left open deliberately. In every case the alternative was to produce a number by judgement and present it alongside measured ones, which is how research quietly becomes opinion.

WHAT RESTS ON WHAT WE DO NOT KNOWEach bar is the number of findings that depend on an unanswered question. A long bar is not a flaw — it is a warning about where to push back.The frontier firm's marginal cost per corridor, which sets theceiling on what we can ever charge9 findingsEnd-to-end settlement time distribution on a live corridor5 findingsNo dispersion evidence above €10,000, which is where B2B lives4 findingsReal (not list) pricing from counterparties3 findingsPer-PSP SEPA value limits2 findingsBanking-access fragility of ramps and issuers1 findingVoP non-match rate (EEA)1 findingCan weekend prefunding be structured through a TARGET accounttype excluded from the holding cap?1 findingExit comparables for a sub-scale orchestratornothing rests on itThree of these can only be closed by a conversation with a counterparty — not by more research.SOURCED · claim-graph · 2026-08-11
How much of the analysis depends on each unanswered question. Bars are the count of findings that cite the gap directly.

Scope of this count

The chart counts dependencies inside the original research claim graph. It does not rank the questions introduced by comparing the payments-company and platform-company interpretations. Those decision gaps are listed separately below because zero original findings can depend on a question the packet never asked.

The questionWhy it is openFindings resting on it
End-to-end settlement time distribution on a live corridorwe decided not to measure it 5
Banking-access fragility of ramps and issuerswork is commissioned or under way 1
VoP non-match rate (EEA)nobody publishes it 1
Per-PSP SEPA value limitsnobody publishes it 2
Real (not list) pricing from counterpartiesonly a counterparty conversation closes it 3
Exit comparables for a sub-scale orchestratornobody publishes it —
Can weekend prefunding be structured through a TARGET account type excluded from the holding cap?needs a legal opinion, not more research 1
No dispersion evidence above €10,000, which is where B2B livesonly a counterparty conversation closes it 4
The frontier firm's marginal cost per corridor, which sets the ceiling on what we can ever chargenobody publishes it 9

Three of these matter more than the rest, and they share a property: no amount of further desk research will close any of them.

Nobody will tell us their real prices. Every counterparty price in this work is a published list price or a secondary estimate. Real terms are negotiated and confidential. That caps the confidence of any cost model built from public inputs — including ours.

We never measured how long a payment actually takes. The end-to-end distribution on a live corridor — not the average, the tail — was deliberately not measured. That was a decision rather than an oversight, and it is an awkward one, because the payments-company interpretation makes a guarantee about timing central once it can be priced. That interpretation therefore rests on a risk distribution this work has not observed.

The evidence above business ticket sizes is thin and recent. Nearly all measured price dispersion was gathered at retail sizes. A later exercise did measure European pairs at €100,000 and €1m and found dispersion widens with size — but against a single cheap provider rather than a competitive field, which is a different thing entirely.

Questions that decide between the two interpretations

These are not caveats to one model. They determine which model Atlas should be building, so they should be read alongside the dependency-ranked gaps rather than hidden inside either conclusion.

Decision gapEvidence requiredWhich way it cuts
Who has a budget for Atlas?12–15 buyer conversations with payment files, fee statements, a named budget owner and commercial termsWorkflow and reconciliation budget supports the platform path; demand for a delivered-payment price supports the payments path
What is production-live in the banking platform?An independent capability audit separating live, coded, gated, simulated and planned functionsThe platform interpretation depends on an existing asset whose production boundary has not been evidenced
What operating role is available before authorisation?Counsel on technical-provider, outsourcing, agency, funds-possession and principal-FX boundaries, including DORA obligationsDetermines whether role-first software can launch cleanly and what the partnered payments path can retain
How much conversion spread survives the full stack?Executable RFQs held over 90 days and reconciled against liquidity, tax, compliance, prefunding, failures and operationsA strong retained contribution margin supports principal payments; a thin one removes the reason to carry the balance sheet
Does the platform create recurring economics?Paid design partners, implementation cost, gross retention, expansion, support load and evidence of switching frictionWithout these, the platform path is plausible architecture rather than an evidenced business

Figures that circulate in this market and should not be used

Three numbers appear repeatedly in industry material and do not survive checking.

A widely-quoted cost-and-speed baseline for business cross-border payments turns out to be consumer remittance pricing, misattributed — roughly four times the measured business figure. Anyone quoting it in a room with a payments professional will be corrected.

Every vendor claim of approval-rate uplift found during this work was unaudited, without exception. The category has been making the same claim for fifteen years without producing an independent measurement of it.

And arguments built on emerging-market currency-control spreads are three years stale. The gaps those arguments depend on have largely closed — in the largest case from tens of per cent to low single digits.