Kyiv AI Day 2026 Spring

More about presentation:
Intro to AI in Fintech. Brief overview of AI's promise and adoption in the fintech sector (personalization, risk management, operations optimisation, marketing strategy, efficiency. GenAI in FinTech).

The main questions we usually try to avoid. 

How will our business processes be changed? What is the optimal decision (control)? Will anything change at all in our indicators, and how? Is your model the best one? Could you prove that your model is good? How much will we earn in year 1 after the launch? What is ROI of the project? How many people shold I fire… and hire?

Challenges in Technical Post-Deployment of AI models. 

Model degradation and data drift, Operational maintenance and monitoring, Stability, Integration with other systems, Data privacy and security, Bias Detection.

Challenges in Business Implementation of AI models. 

Regulatory Compliance, Lack of explainability and trust, Human-AI collaboration, Bias and Fairness Issues, Underestimation of Change Management, Scalability in Business Processes.

Impact on Operational Model and Financial Indicators. 

Negative Impact on Operational Efficiency, Unexpected Financial Impact, Revenue Fluctuations and Unforeseen Risks, Customer Experience and Retention Issues, Misalignment with Business Objectives, Increased Costs Due to Retraining and Recalibration, Market and Operational Risks Due to Incorrect Predictions.

Case Study 1: «Separate the wheat from the chaff”. Application Scoring model: Business killlers or bisiness builders. We rejected 80% of our clients. Are you out of your mind? False positive, False negative, and Money. (Bank case)

Case Study 2: “But many who are first will be last, and many who are last will be first”. CRM optimisation with predictive analytics: Business Strategy and Model dependencies seesaw. (Collection Case)

Case Study 3: "Vanity of vanities, all is vanity". How operational cost burden eats AI-Driven Cost Savings. Financial and Operational Mdels. The volume of clients to make AI really efficient. Financial Model example and How to find the break-even point. (Online Lending Case)

Key Lessons Learned. 

Keep in Mind: By Adding an AI-Driven Decision-Making Process, You Are Changing the Controls. How Will the Controls Change?

Can GenAI effectively address the discussed challenges?

Key Actions: Monitoring and Retraining, Human Oversight, Governance Framework, Explainable AI, Operational Model – impact of AI controls on KPI, Financial Model – AI impact on cash flow.