Economy-aware AI scoring for more accurate credit decisions

ScoreAI fuses borrower data with live macroeconomic indicators — GDP, inflation, rates, unemployment — to deliver credit decisions that reflect today's economy, not last quarter's. Explainable outputs, audit-ready logic, and up to 98.9% repayment prediction accuracy.*

98.9%

Repayment prediction accuracy*

17–24%

Reduction in per-loan cost*

~12%

Lost margin recovered*

Seconds

Not days — decision speed

EXPLORE A PILOT PROGRAMME

Delivered and supported by Qulix

25 years in banking software · 200+ financial institution projects

Banking Integration

AI/ML Deployment

LOS Integration

Regulatory Alignment

European Support

Static scoring models weren't built for a volatile economy

the problem

Your models lag behind the real economy

Traditional bureau scores and rule-based models are trained on historical data. When inflation spikes, rates shift, or unemployment changes, they can't adapt — leading to mispriced risk and growing defaults.

Good borrowers are being turned away

Conservative static models over-decline creditworthy applicants. Industry benchmarks suggest 10–20% of declined applicants may be creditworthy under more sophisticated analysis — that's revenue left on the table.

Slow approvals are costing you borrowers

At €50–200 per decision, manual credit review is one of the most expensive processes in lending — and one of the least scalable.

The only credit decisioning engine that scores in the context of the real economy

about

ScoreAI doesn't just score borrowers. It continuously integrates GDP trends, interest rates, inflation, unemployment, and market sentiment into every credit decision — in real time.

Core Differentiator

Economy-Aware AI Scoring

Live macroeconomic factors (inflation, rates, employment, sentiment) are fused with borrower-level data to produce dynamic risk scores, pricing guidance, and credit limits that reflect current conditions — not last quarter's.

Transparency

Explainable Decision Outputs

Every approval or denial is accompanied by transparent, factor-based explanations of the driving variables. Designed with EU AI Act high-risk requirements in mind — audit-ready from the start.

Precision

AI1 Predictive Repayment Score

A proprietary predictive model for borrower repayment behaviour, built on Kolmogorov-Arnold Networks (KANs) combined with stacked ensemble models, achieving up to 98.9% accuracy on tuned datasets.*

Flexibility

Scenario Analysis & Stress Testing

"What-if" analysis lets your risk team test policies, affordability thresholds, and expected loss curves across different economic scenarios before committing to changes.

Architecture

API-First, Integration-Ready

ScoreAI is a cloud-native scoring layer that plugs into your existing lending stack via clean APIs. No platform replacement required — it enhances what you already have.

Deployment

European Implementation by Qulix

Qulix provides hands-on integration, local support, and banking-domain expertise across Europe. You're not buying from a distant US vendor — you're working with a team that knows European financial infrastructure.

From integration to live decisions in weeks, not months

how it works

Connect your data
ScoreAI ingests borrower data from your existing systems alongside macroeconomic feeds. API-first design means clean integration with your loan origination stack.
Score in context
The engine fuses applicant data with live economic indicators to produce real-time risk scores, pricing guidance, and repayment predictions — with full explainability.
Test & validate
Run ScoreAI against your historical lending data in a pilot to measure uplift vs. your current models. See the delta before committing.
Deploy & monitor
Go live with continuous model monitoring. ScoreAI keeps learning as economic conditions evolve — your scoring stays current without manual recalibration.

Who benefits most from economy-aware credit decisioning?

built for

Digital Lenders & Neobanks

Fastest time-to-value

Competing on speed and pricing, but static scoring models leave you over-declining good borrowers and under-pricing risk as the economy shifts.

BNPL & Installment Credit

CCD II compliance urgency

CCD II now mandates creditworthiness checks you may never have run at this depth. You need compliant, real-time scoring that works at checkout speed.

Mortgage & Home Finance

Strongest product fit

Affordability models built for stable rate environments fail when rates are volatile. Economy-aware scoring adjusts mortgage risk in real time.

SME & Business Lenders

Underserved segment

Bureau scores are poor predictors for small businesses. Macro-aware models score SMEs in the context of their actual economic environment.

For a mid-size lender with a €500M portfolio, static scoring leaves millions on the table every year

incaction costs

Industry benchmarks and vendor-reported outcomes suggest significant financial impact from outdated credit decisioning. These figures represent the scale of the opportunity.

€2M–6M

Revenue lost annually from over-declining creditworthy borrowers

€1M–5M

Higher default losses from models that miss economic shifts

€0.5M–1.5M

Excess underwriting costs from manual decisioning processes

Up to 7%

Of global turnover — potential EU AI Act non-compliance fines

* ROI projections based on industry benchmarks and AI1 Technologies partnership data. Actual results will depend on portfolio composition, current model sophistication, and implementation. European performance validation is a core objective of our pilot programme.

AI engine from AI1. European delivery from Qulix.

why us

ScoreAI is developed by AI1 Technologies, an AI/ML company specialising in economy-aware credit decisioning. Qulix is your European implementation partner — handling integration, local support, and ongoing account management.

This isn't a remote US vendor asking you to figure it out yourself. It's a joint team with the AI expertise on one side and 25 years of banking integration experience on the other.

AI1 Technologies

Economy-aware AI engine, proprietary scoring models (KANs + ensemble), product development, and data science expertise. Based in New Jersey, USA.

Qulix

European-based technology consultancy with deep banking domain expertise. 200+ financial institution projects. Handles integration, deployment, support, and client relationships across Europe. HQ in Wrocław, Poland; office in Cheshire, UK.

Explore what economy-aware scoring could mean for your portfolio.

We're offering structured pilot programmes for European lenders: run ScoreAI against your historical data, measure the uplift vs. your current models, and validate compliance readiness — before committing.

REQUEST A PILOT DISCUSSION

60–90 day pilot · Run against your historical data · No platform commitment required

Contacts

get started

We’d love to hear from you!

Tell us about your project or the challenge you have, and we’ll get back to you soon.

Prefer direct contact?

E-mail us at request@qulix.com

* Performance metrics (98.9% accuracy, 17–24% cost reduction, ~12% margin recovery) are reported by AI1 Technologies based on US-market datasets and tuned model configurations. European performance validation is a primary objective of our pilot engagements. Actual results will vary based on data quality, portfolio composition, regulatory environment, and existing model sophistication. ROI estimates in the "cost of standing still" section are based on industry benchmarks and third-party vendor case studies, not ScoreAI-specific European data. All claims should be evaluated in the context of a structured pilot programme.