Nivo has today launched Lender Collect, an AI assistant that coordinates a lending case from the first broker email through evidence gathering, underwriting preparation and the conditions that follow the lender's decision.
Nivo has today launched Lender Collect, an AI assistant that coordinates a lending case from the first broker email through evidence gathering, underwriting preparation and the conditions that follow the lender's decision.
In context
- Topic: Banca y Fintech — Banca digital, pagos, open banking y regulación financiera.
- Source: Finextra
- Published: 09/10/2026
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Why it matters
Financial services has one characteristic that makes it unlike every other sector: it can fail on experience and survive, but it cannot fail on trust. That is why moves that look slow from the outside are usually prudent from the inside.
I read these stories with two questions on top: what happens to cost per transaction and what happens to risk. If cost drops but risk rises without anybody measuring it, the saving is borrowed and gets repaid with interest on the day of the first incident.
What usually goes wrong
Where it usually breaks is customer service. The product launches, the support team finds out the week before, and when somebody calls because the money did not arrive nobody knows what to tell them. Trust is lost there, not in the technical outage that caused it.
What to watch
- What happens to cost per transaction at real volume, which is where the business is decided.
- How daily reconciliation is left, which is where the cases nobody modelled show up.
- What the local regulator requires and by when, because the deadline is usually the real constraint.
How I read this entry
If this came into an institution, I would look at reconciliation first. Everything new in payments looks fine until the day has to balance, and that is when the cases nobody modelled appear: reversals, duplicates, half-completed transactions. That boring work decides whether the product is sustainable.
This entry is an excerpt from the original source, selected by the site radar. The commentary above is the site's own and does not belong to the cited publisher.
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
