Chris Wyatt
Venture Concept · Faster-Payments Compliance
Essay

NACHA Native

NACHA's faster-payments mandates and FedNow rollout broke the only thing keeping ACH fraud manageable: latency. NACHA Native is the structured compliance layer that lets faster-payment volumes run without becoming a $50B fraud pipeline.

$86.2T
Annual ACH volume, 2024
NACHA
33.6B
ACH payments, 2024
NACHA
21%
Of organizations hit by ACH credit fraud, 2024
AFP Payments Fraud Survey

01 · The problem

Faster payments removed the latency safety valve

Traditional ACH gave fraud teams a 24-hour reversal window. Same-day ACH cut that to hours. FedNow cuts it to seconds. The fraud-detection systems banks and ERPs use today were architected when latency was the primary control. Now it is gone, and the structural fraud rate has tracked the speed-up exactly.

0 sec
FedNow settlement, vs 24 hr legacy ACH
Federal Reserve
79%
Of organizations hit by payments fraud in 2024
AFP Payments Fraud Survey
70%
Of mid-market ERPs run no real-time fraud overlay
Operator estimate

02 · The thesis

Real-time rails need a real-time control plane

Banks have invested in real-time fraud at the rail level. ERPs have not. The gap between submit and clear is now seconds. Fraud, sanctions, and compliance all have to run inside it.

NACHA Native is the structured overlay that runs those checks in the gap. Sanctions, beneficial-ownership, anomaly detection, and NACHA-mandated controls. All on the same primitive, at the same latency the rail demands.

03 · The product

What it does

01

Real-time anomaly detection

Statistical and graph-based models that score every outbound payment in under 100ms.

02

Sanctions + ownership screening

OFAC, FinCEN, and beneficial-ownership lookups in line with the payment, not after the fact.

03

NACHA rule enforcement

Native enforcement of return windows, originator obligations, and authorization handling. No bolt-on workflow, no consultant tax.

04

Audit-grade ledger

Every decision and supporting evidence captured for examiners on demand.

04 · Why now

The timing case

  1. 1

    FedNow is now in general availability and onboarding mid-market originators every quarter. The control plane is six months behind the rail capacity.

  2. 2

    NACHA's 2026 Risk Management and Fraud Monitoring rule changes formalize obligations that mid-market ERPs cannot meet with their current stack.

  3. 3

    Real-time inference on tabular and graph data is now production-grade at sub-100ms latency. The infrastructure cost has cleared the threshold.

05 · Why I see it

The view from inside the work

Federal Reserve faster-payments and NACHA working-group contributor since 2011. The blind spot in the mandate is the integration layer between ERP and rail. That is the layer I have built on, twice.

06 · Comparable references

What's already in the market, and where the gap is

An honest read on the adjacent landscape. Not every comparable is a competitor. Some are partners. Some are the market the venture displaces.

Reference
Featurespace, NICE Actimize, Verafin
What they do
Bank-side real-time fraud and AML platforms.
Gap
Sit inside the bank. NACHA Native sits inside the ERP, where the mid-market gap actually is.
Reference
Modern Treasury, Stripe Treasury
What they do
Money-movement infrastructure with basic compliance hooks.
Gap
Optimized for sending. NACHA Native is the compliance overlay that makes faster sending safe.
Reference
Sift, Sardine
What they do
Real-time fraud APIs targeting consumer and fintech use cases.
Gap
Tuned for consumer card and account fraud. NACHA Native is purpose-built for ACH/RTP rules and beneficial-ownership obligations.
Reference
Bank-provided fraud feeds
What they do
Bilateral fraud signal between an ERP and one bank.
Gap
Locked to a single rail and a single bank. NACHA Native is multi-rail, multi-bank.

07 · Key risks

What could break the thesis

Operator-grade pre-mortem. Surfaced because the buyers and partners worth talking to will surface them anyway.

Risk · 01

Banks may push their own real-time control plane down to the ERP.

Mitigation

Banks chronically struggle to ship horizontal SaaS to mid-market ERPs. The distribution gap is the moat.

Risk · 02

False-positive rates on real-time models could block legitimate payments.

Mitigation

Confidence-scored decisioning with explicit thresholds for block, review, and pass. ERPs control the policy. NACHA Native provides the signal.

Risk · 03

Regulatory landscape on faster-payments fraud liability is still settling.

Mitigation

Operator's NACHA working-group access keeps the product calibrated to where the rules are heading, not just where they are.

08 · Proof of motion

What I've already shipped on this thesis

The artifacts that turn this from an essay into something with traction. Published work, working-group seats, operator scars.

09 · Questions partners ask

The next three follow-ups

Pre-empted because the buyers and partners worth talking to will surface them anyway.

Featurespace and Verafin already do this. Why now?

Both are bank-side platforms. They run inside the bank's perimeter and score outbound payments after they've already left the ERP. NACHA Native sits inside the ERP, where the mid-market gap actually is. The architectural seat is different, the buyer is different, and the integration story is different. Banks aren't the market. ERP-side mid-market is.

What about false positives blocking legitimate payments?

Confidence-scored decisioning with explicit thresholds for block, review, and pass. ERPs control the policy. NACHA Native provides the signal. Most fraud platforms fail because they assert a single binary verdict. We don't.

Status

NACHA Native is a published essay, not a stealth company. I am running Finexio. The thesis is here so the right operator or investor can find it and we can talk.

Of the eight ventures I've published, two are in discovery and I expect to operate one of them after Finexio. The rest, including this one, are pattern recognition I want in the open. If you read this and want to start it yourself, that is the outcome I'm hoping for.

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