Customer Journey
Bank branded onboarding: loan selection, mobile OTP, profile, and a live personalised offer, with no app download and no branch visit.
Digital Lending Platform
A complete digital journey from first click to decision, in one sitting. Document intelligence, a configurable rule engine, and a credit back office that drafts its own appraisal memo, all inside your own infrastructure.
Product scheme evaluated, every rule named
Platform activity
One platform takes a borrower from first click to sanctioned loan, and hands your credit team a file that has already been read, checked and scored.
Bank branded onboarding: loan selection, mobile OTP, profile, and a live personalised offer, with no app download and no branch visit.
Uploads parsed, verified and structured in about a second, with hard validation on every tax ID, national ID and statement balance.
Your credit policy as configurable rules, authored by business users, returning instant verdicts with the reasons attached.
Fraud analytics, bureau reports, an auto drafted appraisal memo, and voice and WhatsApp follow up logged against the application.
The bottleneck moved behind it, into document review, policy application and appraisal writing. Four failures decide most files before an officer ever forms a view.
Every statement, tax return and bureau report keyed in by hand, each one a chance for an error to reach the credit decision.
Two officers, same file, different outcomes, and no audit trail explaining why.
Tampered statements surface at post sanction audit, when the money has already moved.
Every handoff adds a day. The borrower who waits a week has already signed with someone faster.
Time to sanction on the same file, with every handoff counted.
Same file, read and decided inside one sitting.
Six guided steps, fully white labelled with your identity. No app download, no branch visit, one sitting.
Seven products, tailored offers.
7 productsMobile OTP, in seconds.
Smart application form.
Live, personalised terms.
live pricingParsed while they watch.
parsed in 1.1sVerdict with clear reasons.
reasons attachedSeven journey ready loan products feed step one
The same journey serves salaried and business borrowers. The form and the required documents adapt to the product chosen.
Document intelligence
Manual data entry disappears. Deterministic engines do the heavy lifting and AI fills only the gaps, under strict guardrails.
Fast laneWhat the borrower waits for
Purpose built readers per document type, millisecond fast and fully auditable. Code does not hallucinate financial figures.
Tax ID, national ID and registration checksums. Statements must balance: opening plus credits minus debits equals closing.
AI laneBackground, never blocks anyone
Runs inside your perimeter and reads only the relevant passages. Documents never leave your infrastructure.
Every AI value must exist in the source document, a verified parser value is never overwritten, and AI fields are badged in the UI.
A 600 page bank statement is parsed, validated and analysed in under 60 seconds
Why local AI
Fincera's document AI runs on local models inside your perimeter. No cloud round trips, no per-page metering, no data egress. That one choice changes the speed, the cost and the compliance story.
| Dimension | Fincera, local AI | Cloud AI |
|---|---|---|
| Where documents go | Stay on-premise, always | Leave your perimeter to a third party |
| Speed | 600 page statement in under 60s | Per-page API calls, rate limits, queues |
| Cost at scale | Fixed infrastructure, no per-page fees | Grows with every page processed |
| Data residency and audit | Inside your compliance boundary | Third-party DPAs, cross-border questions |
| Availability | Works with restricted egress | External uptime and quota dependent |
One switch guarantees no document content can ever reach an external service.
Most fields come from auditable engines. The local model only fills gaps, and every AI value is verified against the source document before it is accepted.
Dedicated extractors tuned to the layouts banks actually receive: masked account numbers, multiple currency and number formats, multilingual documents.
Transactions, balances, bounce and penalty signals, verified to the last decimal.
Score, active loans, overdues and enquiry history.
Income tax returns and business financials, mapped straight to appraisal ratios.
Turnover trends and filing discipline, consolidated across periods.
Identity extraction with checksum validation, cross matched against the application.
Salary components for salaried loans, incorporation documents for business loans.
Everything sensitive stays inside your perimeter, every action leaves an audit trail, and every decision can be explained to a regulator.
Local models inside your infrastructure, with strict-privacy mode to disable all cloud fallbacks.
Tax IDs, national IDs and account numbers are masked before anything is written to logs or dashboards.
Who, when, with what data, and what the engine answered, logged on every evaluation and API call.
Role based access, per-tenant isolation, and credentials held server side, never exposed to clients.
Hashed keys, rate limiting and login throttling. Production refuses to start with weak secrets.
Deterministic parsers and rules mean every number and verdict traces back to its source.
Business rule engine
Credit teams author rules, conditions and formulas in the scheme builder, and existing policy schemes import directly. No code, and no engineering queue.
Form fields and extracted document data, merged.
Rules, conditions and variables, per loan product.
Formula engine and weightage scoring across every rule.
Instant verdict, with every failed rule named in plain language.
Weightage scoring, not just pass or fail, so pricing can key off the score
Cleared, with a strength score so pricing and deviations can key off it.
Sent for review, with the exact rules an officer needs to check.
Declined, with every reason stated in plain language.
Tampering, cash-flow and bureau checks run before the file is opened. Then a Credit Appraisal Memo assembles itself from everything the platform has already learned.
Tampering signals, circular transactions, balance manipulation and cash-flow anomalies, scored and flagged.
Score band, live obligations, overdues and enquiry velocity, readable at a glance.
Month by month inflows, outflows and average balances across all statements.
Consolidated turnover, growth trend, filing gaps and ratio analysis from tax returns and financials.
Auto filled from the application and the verified documents.
Computed from extracted statements, tax returns and filings, never re-keyed.
Background on the borrower's business, market and standing, woven into the file.
Rule engine outcome and analytics findings, attached with reasons.
Hours down to minutes. The officer reviews and signs instead of typing.
An AI voice agent follows up for document reminders, offer follow-ups and status updates, and logs every conversation against the application. Every capability is also an API.
| Borrower | Product | Outcome |
|---|---|---|
| Daniel Fosternow · 2:14 | Business Loan | LIVE |
| Sophia Bennett11:42 · 3:08 | Home Loan | DOCS SENT |
| Michael Chen11:18 · 0:42 | Personal Loan | VOICEMAIL |
| Emma Rossi10:55 · 4:31 | Loan Against Property | OFFER ACCEPTED |
| Lucas Moreau10:22 · 0:00 | Gold Loan | NO ANSWER |
| Olivia Silva09:48 · 2:56 | Top-up Loan | CALLBACK SET |
Voice, WhatsApp and Salesforce sync, full contact history on every file
POST /v1/score
x-api-key: fin_live_9f3c...
{
"modelKey": "credit-risk-salaried",
"req_amount": 200000,
"credit_score": 720
}200 OK 184ms billed: 1 hit
{
"predictedLabel": "low_risk",
"predictedScores": { "low_risk": 0.82 }
}Grow with us
Modules built on the same platform, same data, same security posture. Each one plugs into the lending core you already run: no new vendor, no new integration project.
The same voice agent, pointed at repayment: payment reminders, promise-to-pay capture, and empathetic early-bucket outreach that scales without headcount.
Portfolio monitoring on live bank, bureau and tax signals, so borrower stress shows months before the missed payment.
A conversational assistant that takes applications, collects documents and answers status queries on the channel your customers actually use.
Ask the loan file questions in plain language, with every answer traced back to the source document.
Statement tampering and cash-flow anomaly detection as a standalone API, to screen files from any channel, including ones Fincera did not originate.
See it live: upload real documents, watch the fields fill in a second, run your own policy, and take a call from the voice agent. All in one afternoon.
Pick a slot
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