Fintech
Ablyon builds AI automation for fintech companies in the US and UK. Document verification, onboarding and case-review workflows with a traced decision on every case and a retained audit trail, plus campaigns written to clear compliance first time. The gap between signup and funded account is where most fintech growth is lost.
Fintech loses money in two places, and both are process problems. The users you paid to acquire drop out at identity verification, and the operations team behind that verification is reading documents by hand because nothing they were sold could produce an audit trail their compliance function would accept. We build workflows that survive both an examiner and a conversion target, then fix the campaigns that never cleared review.
The two places fintech growth leaks
Onboarding and acquisition, in that order of expense. The first is usually costing more than anyone is measuring.
The gap between signup and funded account
Identity verification is where fintech funnels lose most of the users they paid for. We instrument each step, find the documents and screens people abandon on, and rebuild the sequence around expectation setting and progress. Then we automate the review behind it: extraction and validation on submitted documents, straight-through processing for the clean cases, and escalation with everything assembled for the rest. Recovering users you already paid for is cheaper than acquiring more.
Manual review that cannot show its work
Compliance functions reject automation that cannot explain a decision, and they are right to. Every workflow we build for a regulated client logs the inputs, the decision, the rule or model that produced it and the confidence, with retention set to your policy and a full trace exportable per case. Automation you cannot evidence is a liability regardless of how accurate it is.
Copy that cannot clear review
A campaign written without the rules in mind gets returned, rewritten into something toothless, and underperforms. We write to the constraint from the start: no implied returns, no guarantees, risk warnings placed deliberately in the layout. It ships faster and performs better, because there is no second draft written under duress.
Trust decided before the product is seen
Prospects are deciding whether to give a young company access to their money. Regulatory status, custody arrangements, security posture and who is behind it settle that question, and burying it below the fold does not make it go away. We put the proof where the doubt is, on the page rather than in a footer.
Questions
Where does the data go, and who holds the keys?
For regulated work, your cloud, your keys, your retention policy, as the default. Model providers can be pinned to zero-retention terms or run in your own tenancy where your policy requires it. This is settled in scoping, before anything is built, because retrofitting a data boundary is a rebuild.
Will our compliance team accept an automated decision?
That is their call, and we build so it is an informed one. Every case carries a full trace: inputs, decision, the rule or model behind it, confidence, and the human who reviewed it where one did. We also scope which decisions stay human by design, and that list is agreed before the build starts.
Can you fix onboarding drop-off?
Yes, and it is usually the highest-return work available. We instrument each verification step, find the screens and documents people abandon on, and rebuild the sequence around expectation setting and visible progress. The automation behind it removes the queue wait that causes the second drop-off.
Do you understand financial promotions rules?
We write to them and send everything for your compliance team's approval. We are a technology and marketing partner, so your reviewer signs off on every promotion. What we contribute is stopping the waste of their time on drafts that were never going to clear.
Do you work with crypto?
No. We take regulated fintech work and decline crypto and Web3.