Shelpuk & Company
    AI-powered banking and financial services technology
    Banking & Financial Services AI

    AI for Banking & Financial Services

    From service design and AI strategy to churn prevention models and Generative AI assistants — we help banks and financial institutions unlock measurable value with AI.

    We combine deep financial services domain expertise with hands-on AI engineering. Our team has designed AI strategies for major retail banks, built RAG systems for global financial institutions, and developed predictive models that drive real business outcomes.

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    Service Design & Strategy

    Identify Where AI Creates the Most Value

    Before building anything, you need to know where AI fits. We work with bank leadership to map operations, assess data maturity, and identify the highest-impact AI use cases — from customer acquisition and retention to credit risk and internal operations. Our strategy engagements combine stakeholder interviews, competitive analysis, and guerrilla testing to prioritize the right bets.

    Major Retail Bank

    AI Strategy for Retail Banking

    Designed a comprehensive AI strategy including competitive analysis, AI model recommendations, and a technology transformation roadmap. Led the customer team in developing models for Marketing and CRM — CLV prediction, behavioral targeting, A/B testing, and personalized recommendations. Most recommendations were implemented, and the bank formed an AI/Data Science team based on our guidance.

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    R&D & Predictive Models

    Build Churn Prevention, Risk Scoring & CLV Models

    Banks generate vast amounts of transactional, behavioral, and demographic data. We help financial institutions turn this data into predictive models that reduce churn, improve credit decisioning, optimize pricing, and identify cross-sell opportunities. Our models are designed for production deployment with explainability built in — critical for regulated environments.

    Generative AI Assistants

    AI That Helps Employees and Customers Navigate Financial Services

    Generative AI is transforming how banks interact with both employees and customers. For sales teams, we build AI assistants that help relationship managers understand complex product portfolios and match them to customer needs. For customers, we create intelligent chatbots and self-service tools that simplify navigation of financial products, answer policy questions, and guide through application processes — all while maintaining compliance and audit trails.

    Major Canadian Bank

    RAG Chatbot for Major Canadian Bank

    Built a production-ready RAG system that enables intelligent question-answering across 3,200+ internal documents. The system uses Azure OpenAI with LangChain, supports multi-turn conversations, processes images embedded in documents, and is deployed as a containerized microservice ready for enterprise-scale operations.

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    Andriy Milinevsky
    Partner

    Andriy Milinevsky

    Led 2 successful M&A transactions as CEO of one of the merging companies
    Former Chief Digital Transformation Officer at Kyivstar (20M+ subscribers)
    35 years of professional experience in business and technology
    MBA, Maastricht School of Management
    LinkedIn

    Book a free 2-hour AI assessment for your bank

    We'll map your highest-impact AI use cases across retail, risk, and operations — scored on feasibility, regulatory fit, and expected ROI. No cost, no commitment.

    Frequently Asked Questions

    Answers to common questions about this topic.

    How can banking and finance teams apply AI without increasing risk?

    Banking and finance teams can apply AI without increasing risk by embedding governance, explainability controls, and continuous monitoring into delivery. Shelpuk AI Technology Consulting helps financial organizations deploy AI with controls that satisfy risk, compliance, and operational resilience requirements.

    What technical approach is most effective for banking and finance AI deployments?

    In this context: AI solutions for banking and financial services. Risk assessment, fraud detection, and regulatory compliance automation. High-impact programs combine secure data governance, model monitoring, workflow integration with core systems, and clear controls for explainability and audit. Shelpuk AI Technology Consulting designs implementation roadmaps that connect model performance to banking process reliability.

    How should pricing and value tracking be structured for finance AI initiatives?

    Pricing is typically tied to process complexity, integration depth across legacy platforms, control requirements, and target service-level improvements. Shelpuk AI Technology Consulting builds transparent delivery plans with clear governance checkpoints and measurable business KPIs.

    What measurable outcomes can banking teams expect after implementation?

    Common outcomes include faster document and case processing, better risk triage quality, reduced operational bottlenecks, and improved customer response times. Shelpuk AI Technology Consulting uses lessons from production finance and enterprise transformations to reduce rollout risk.