End-to-end consulting for implementing AI/ML systems in financial and telecom organizations across Central and Eastern Europe. Our team has delivered data-driven projects at GE Money, ING, Vodafone, Orange, Telekom, and Coface.
Our Differentiator: Every specialist on our team brings 20+ years of hands-on experience in data-driven project implementations, risk management, and debt collection operations — not theory, but proven results.
20+
Years per specialist
6
Fortune 500 companies served
~4 months
Avg. predictive project duration
6 months
Average ROI payback
From analytics strategy through go-live and knowledge transfer.
Custom scoring, churn, propensity-to-pay, and credit limit optimization models built on your data.
Define analytical architecture, KPIs, and implementation roadmap aligned with business objectives.
Integrate models into existing systems (CRM, dialer, core banking) via REST API or batch scoring.
Ensure complete knowledge transfer to internal teams for operational independence.
Every team member brings 20+ years of hands-on experience in data-driven projects for top-tier financial and telecom institutions.
Oversee predictive model architecture and analytical deliverables for enterprise clients.
Develop advanced AI/ML models and mathematical algorithms for risk scoring, collections, and retention.
Ensure technical integration of models into client systems, APIs, and cloud infrastructure.
Experts in credit risk methodologies, scoring, Basel III/IV, and provisioning policies.
Professionals with direct field experience in collection operations, contact strategy, and negotiation.
Legal counsel on regulatory compliance, financial services contracts, and GDPR.
Echipa VT Risk a livrat proiecte de transformare analitică și AI/ML în unele dintre cele mai mari companii din Europa.
2001
First scoring project
50M+
Records analyzed
15+
Institutions served
8
CEE markets covered
The duration of a predictive model development project varies by project, but typically takes approximately 4 months.
Model development from the moment we receive analysis data typically takes 6 weeks, but may vary depending on model type. Duration is expressed in working days.
| Task | Responsibility | Duration |
|---|---|---|
| Project Setup (definitions, data used, etc.) | Business, IT, VTRisk | 10 days |
| Data Extraction & Preparation | IT, Business (or our partners) | 20 days |
| Data Validation | VTRisk | 10 days |
| Preliminary Analysis & Feature Creation | VTRisk | 10 days |
| Model Development | VTRisk | 20 days |
| Model Validation | VTRisk, Business | 10 days |
| Model Documentation for Implementation | VTRisk | 5 days |
| Model Training & User Enablement | VTRisk, Business | 2 days |
| Total | — | 87 days (~4 months) |
Unlike consulting firms that assign juniors to AI transformation projects, VT Risk is composed exclusively of senior consultants with proven experience from real implementations at GE Money, ING, Vodafone, Orange, and Coface.
Book a free 30-minute consultation. We'll analyze your current state, identify opportunities, and present a personalized roadmap.