Neobanks and BaaS

Business account onboarding review for neobanks and BaaS programs

Sweat AI · Updated

Sweat AI is an AI-native BPO for banks and fintechs. For neobanks and BaaS programs, we start with business account onboarding and fraud reviews. We review business applications and periodic reviews 24/7 under your program's policy, and hand each case back with the evidence, a recommendation and one list of what is still needed. You decide, within the terms your sponsor bank sets.

When a fintech distributes a bank's accounts, the bank stays responsible for the customers it takes on. The federal banking agencies' 2023 guidance puts it directly: a banking organization's use of third parties "does not diminish its responsibility" to operate safely and in compliance with law "to the same extent as if its activities were performed by the banking organization in-house" (Interagency Guidance, 2023).

In their July 2024 request for information on bank-fintech arrangements, the OCC, Federal Reserve and FDIC noted that risks may be heightened where the fintech "performs key functions, such as ... performing customer identification and due diligence" and "monitoring transactions" (89 FR 61577).

For a neobank or program manager, that turns into concrete expectations from the sponsor: follow the bank's policy exactly, document every review, escalate what the bank says to escalate, and be able to show your work at audit. A backlog makes all of that harder, because rushed reviews are thin reviews.

What we review

Business account onboarding

  • The entity: registration, status, formation date, registered and trading addresses, against the application.
  • Beneficial owners and a control person, traced through holding companies. For US covered institutions the CDD rule's tests are 25 percent or more of equity interests, directly or indirectly, and a single individual with significant responsibility to control or manage the entity (31 CFR 1010.230). Your sponsor's policy may go further; we follow it.
  • Screening of the entity and its people, with matches resolved.
  • Nature and purpose of the account: what the business does, what it will use the account for and whether its public footprint supports that.
  • Documents supplied, checked for entity match, date and what they can and cannot establish.

Periodic and event-driven review

Bank AML programs must include risk-based procedures for ongoing customer due diligence, including "understanding the nature and purpose of customer relationships" and ongoing monitoring to report suspicious transactions and, on a risk basis, "to maintain and update customer information", which includes beneficial ownership information for legal entity customers (31 CFR 1020.210).

For business customers due for review, or triggered by an event (an alert, a change of ownership, a sudden change in activity), we:

  • Refresh registry status, officers and ownership, and show what changed since onboarding.
  • Re-screen the entity and its people.
  • Compare actual account activity, where you share it, with the purpose and expected activity recorded at onboarding.
  • Recommend whether the risk rating should change, and list anything the customer needs to update.

Why queues spike, and what we do about it

  • Campaigns and referral programs bring a surge of sign-ups at once, often over a weekend.
  • Review cycles bunch up when a cohort of customers onboarded in the same period all come due together.
  • Remediation projects, sometimes at a sponsor's request, add a large one-off batch on top of the daily queue.

We work 24/7, so the queue is done when your team logs in (24/7 coverage). Cases that meet your escalation criteria go to your named contact straight away.

What you get back

For each case: an evidence packet in which every finding is tied to its source excerpt, capture time and limitation; a recommended disposition; and one consolidated request list for the customer. For periodic reviews, the packet also shows what changed since the last review. The format is shown in the illustrative sample KYB review.

Because every finding carries its source and time, your team can show your sponsor bank what was checked, from where and when, without reconstructing it from notes.

Fraud and alert queues too

Business accounts that pass onboarding still need watching. The same team can work transaction-monitoring and fraud alerts, including mule and account-takeover signals, and write each one up for your decision; see fraud and alert review.

What stays with you

Account approval, risk ratings, restrictions and closures, suspicious activity reporting and anything your program agreement reserves to the sponsor bank are not ours to decide. We recommend; the decision sits wherever your program puts it.

Talk to us

Tell us about your program, your sponsor's requirements and where the queue grows. We will show you how we would work your next batch of business applications or periodic reviews. If you are the bank side of the arrangement, see banks and credit unions.

Questions

Can Sweat AI work under our sponsor bank's program?

Yes. We work to the policy and procedures that govern your program, including anything your sponsor bank requires, and we record our work so it can be reviewed by you and, through you, by your sponsor.

Do you do periodic reviews as well as onboarding?

Yes. Periodic and event-driven reviews of business customers use the same process: refresh the ownership and profile, compare activity with what the customer said at onboarding, and flag changes.

Who owns the decision under a BaaS arrangement?

The decision sits wherever your program agreement puts it, with you, your sponsor bank or both. Sweat AI prepares the review and recommendation and never makes the decision.

Can you handle spikes after a campaign?

Yes. Campaign spikes are one of the main reasons teams use us. We work 24/7, so a weekend surge is worked by the time your team logs in.

Will our sponsor bank accept your work?

We cannot speak for your sponsor bank. What we provide is a review in which each finding is tied to its source and capture time, so your team and your sponsor can see what was checked and when.

Sources

  1. Request for Information on Bank-Fintech Arrangements, 89 FR 61577 (July 31, 2024), accessed 2026-09-30
  2. Interagency Guidance on Third-Party Relationships: Risk Management, 88 FR 37920 (June 9, 2023), accessed 2026-09-30
  3. 31 CFR 1020.210, Anti-money laundering program requirements for banks (eCFR), accessed 2026-09-30
  4. 31 CFR 1010.230, Beneficial ownership requirements for legal entity customers (eCFR), accessed 2026-09-30

Onboarding & fraud queues · 24/7

Let us sweat for you.

Our analysts work your onboarding and fraud queues 24/7, so the work is done when your team logs in. You keep the final decision.