Platform ModuleSME Lending

SME Protection &
Risk Exposure

Credit risk and fraud risk, scored together — not in two separate systems.

The same Fintory rules engine that powers behavioral security for digital banks, reconfigured for SME lending: one score, continuously updated, from underwriting through the life of the credit line.

Try the risk score
Unified Risk ScoreLive
66/ 100 · Verify
BlockVerifyClear
Ownership & incorporation
65 / 100
Open banking flags
1 in 14d
Decision
Verify
Recalculated on every open-banking event, bureau alert and ownership change — not once at underwriting.
The Problem

Two checks that never look at each other

SME lenders run credit and fraud as separate workflows, on separate data, at separate moments. Each one is reasonable on its own. The gap between them is where the losses sit.

Credit assessment today

Bureau score and cashflow, checked mainly at underwriting.

Bureau scoreCashflowPoint-in-time

Fraud & AML checks today

KYC and ownership checks, done as a separate step.

KYCUBO checksSeparate queue
The result

Shell entities and split credit exposure across commonly-owned, co-incorporated companies slip through — because neither check looks at the other's signal.

How the module works

Three layers. One score.

Each layer contributes signals. The engine correlates them before any credit action executes.

01

Behavioral & Device Intelligence

KYC biometrics, ownership tree (UBO / beneficial owner), and incorporation timing of the applicant and every related entity.

KYC biometrics
UBO ownership tree
Incorporation timing
02

BaaS Transactional Core

Live open banking data — cross-checked against filed revenue where available.

Cashflow & NSF events
Bounced cheques
Income-source concentration
03

No-Code Adaptive Rules & AI Engine

Cross-correlates Layers 1 and 2 in real time into one Unified Risk Score, before any credit action executes.

Real-time correlation
Visual rule builder
Full audit trail

This is the same 3-layer architecture used elsewhere on the platform for consumer digital banking — reconfigured with different signals for SME lending, not rebuilt.

What it catches

Patterns separate systems miss

Recently incorporated entities applying for credit — a weak track record is itself a risk signal.

Multiple related entities incorporated within a short window of each other — a pattern the ownership tree reveals but a bureau score alone would not flag.

Synchronized anomalies across linked accounts — an unusual transfer, a bounced payment and a shift in income sources happening together is a stronger signal than any one alone.

AI Decision Fusion

Four independent modules.
One synthesized decision.

Scoring, Anti-Fraud, Compliance, and Fraud Intelligence each evaluate the case independently. The fusion engine correlates them in real-time — and when they disagree, it explains why.

Deterministic

Scoring Metrics

6 weighted sub-components — Payment Conduct, Cashflow, Credit Report, Bureau, Ownership, Collateral.

Rule Engine

Anti-Fraud Rules

Rule-based alerts (S1–S4 severity) from transaction monitoring and behavioral analytics.

Regulatory

Compliance Rules

Regulatory action rules — PSD2 SCA, AML high-risk jurisdictions, KYC thresholds.

Override

Fraud Intelligence

Cross-institution consortium database. A confirmed match overrides everything else.

When modules conflict

A case scores 89/100 (Clear) — but Fraud Intelligence flags a confirmed fraud link. The engine doesn't just pick one. It surfaces the conflict, explains the precedence, and blocks the facility.

Scoring: ClearIntelligence: Block
Fusion Engine
real-time synthesis
Resolved with trace

The analyst sees the conflict, the override source, and the full decision trace — every time. No black boxes. Every block, verify, or approval is explainable to regulators.

Decision: BlockConfidence: High

Interactive What-If: Analysts can ask "What would change this from Block to Clear?" and get a simulated answer from the live data — before adjusting any rule.

Live rule example

Change the signals. Watch the decision change.

Toggle what the engine observes on the left; adjust the rule thresholds on the right. Both feed the same score.

Observed signals

Scored against the full underwriting profile
MoralityCashflowCredit reportBusiness bureauOwnership & incorp.Collateral
sme_exposure_policy · v2.4
Live
IF ownership_incorporation_score < 40
AND open_banking_flags >= 2
WITHIN 14 days
THEN cap_available_limit(50)
AND flag_for_analyst
ownership_incorporation_score = 65 · flags = 1No match
Unified Risk Score
66/ 100
Verify
0 · Block50 · Verify100 · Clear

Enough signal to pause, not enough to act. Additional verification is requested from the customer; the line stays open while it is outstanding.

Configured visually in the no-code rules engine — risk teams adjust thresholds, not developers.

Continuous, not point-in-time

The score keeps moving after you approve

A bureau check tells you what was true on the day of underwriting. Open banking events, bureau alerts and ownership changes re-score the customer for as long as the credit line is active.

Re-scored on every qualifying event
Two flags in 14 days escalates the response tier
Every change written to the audit trail
Score history · 12 monthsCustomer #48120 · Active line
806040UnderwritingRelated entity filed2 NSF in 9 daysToday
82 → 64
Score movement since approval
3
Re-score events triggered
−50%
Limit capped automatically
Graduated response

Notify → Verify → Block

The same escalation ladder used in 360° Behavioral Security, mapped to credit actions.

01Notify
Trigger

A single flag, no ownership signal.

Action

Route to the risk team. No action taken on the line.

02Verify
Trigger

Two flags within 14 days, or a recently incorporated entity.

Action

Request additional verification from the customer.

03Block
Trigger

Ownership risk, synchronized flags and a weak bureau score together.

Action

Cap or freeze available credit automatically.

Built for Decision-Makers

From underwriting to ongoing monitoring

Every signal visible. Every decision traceable. Every rule adjustable — without writing code.

↓ 60%

Fraud loss reduction

Cross-institution intelligence and real-time correlation catch what point-in-time bureau checks miss.

< 3s

Decision latency

From application to fused decision in under three seconds — with a full audit trail behind every call.

100%

Audit trail coverage

Every score change, override, and rule edit is logged with actor, timestamp, and reason — ready for regulators.

0 code

Configurable by risk teams

Adjust thresholds, weights, and rules in a visual editor. No engineering ticket required to respond to a new threat.

Explore the live platform

See it in action — not a mockup

Every module below is a working interface with real data. Open the case queue to see four scenarios, or dive into any module.

Open Case Queue

One engine. Continuously learning.
Already proven across consumer and SME lending.

Deploy SME Protection & Risk Exposure on its own, or alongside the modules you already run.