Deep data analysis
Financial statements, transaction patterns, registry data and case history — analysed automatically, in minutes, with the working shown. Spreads built, ratios derived, anomalies flagged before a human opens the file.
Vincu AI is the intelligence layer on top of everything your bank already does in Vincu. Every request, document, decision and conversation — read, understood, and turned into analysis, foresight and the next right action.
Case #4128 likely to stall — reassign to Operations
Working-capital need expected in ~6 weeks
Reply prepared from the case record — review & send
Illustrative view — planned capabilities, releasing Q4 2026
A bank already knows its customers — the knowledge is just scattered across files, systems and people's memories. Vincu holds all of it on one record. Vincu AI is what happens when that record can finally be read as a whole.
In production today
This isn't a roadmap promise. AI-assisted credit analysis runs in production at ProCredit Bank today, inside Vincu Decision — analysing real applications, end to end, with every run logged.
New application
Working-capital loan
File complete — analysis starting
Analysing the whole file
DSCR
▼
DEBT / EBITDA
▼
CURRENT RATIO
■
REVENUE TREND
▼
Ratios derived · trends read · registries cross-checked
Recommendation
Decline
7 eliminatory factors · full reasoning and conditions attached
Q4 2026 — the full engine
Financial statements, transaction patterns, registry data and case history — analysed automatically, in minutes, with the working shown. Spreads built, ratios derived, anomalies flagged before a human opens the file.
Not dashboards — actions. A case about to stall. A document expiring next month. A repayment pattern drifting. Vincu AI surfaces what to do next, assigned to the right person, before it becomes a problem.
The whole thread of a relationship — years of requests, decisions and conversations — summarised into one living picture: health, history, exposure, momentum, and what changed since you last looked.
When a customer's pattern says they'll need working capital before high season, the banker hears it first. Grounded in the real record, suggested to a human — never an algorithm spamming customers.
Customers ask in plain language — “Where is my application? What do you still need from me?” — and the answer comes from their own case record, instantly, in their language. Anything sensitive escalates to a person.
Staff query the portfolio the same way — “show me cases waiting on compliance longer than five days” — and get answers with sources, not exports. The record becomes something you talk to.
For institutions where nothing leaves the building: the full model deployed inside your perimeter, on your hardware, under your keys. Maximum data security without giving up the intelligence.
Every AI output is explainable, logged on the case record, and subject to human sign-off where it matters. Built for the same auditors and regulators as the rest of the platform.
One engine, every module
Deeper analysis, pre-built financial spreads, anomaly flags — recommendations that arrive with their reasoning attached.
The chat interface lives here. Customers ask; their own record answers. Fewer calls, faster answers, everything logged.
Documents read themselves: data extracted on upload, expiry dates tracked, missing papers requested automatically.
Cases route by content, not just category. Stalls are predicted before they happen, and workloads balance across teams.
Relationship signals feed loyalty: the moments worth recognising, surfaced from the record itself.
Deployment
Most banks will run Vincu AI as part of the managed platform. Large institutions with strict data-residency or sovereignty requirements can run the entire model on-premise — inside the bank's own perimeter, with no customer data ever leaving it. Same intelligence, your infrastructure, your keys.
We're building Vincu AI with a small group of banks that want to shape it. Early access, direct line to the engineering team, and your workflows on the roadmap.