Sergei Bogatenkov

About Sergei

Sergei leads product design and full stack development at ForBroTeam. He builds the interfaces, infrastructure, and integration layers that tie AI systems into how businesses actually work. He thinks about product strategy and user experience, but mostly cares that what gets shipped works for the people using it day to day.

He has designed and built AI-native interfaces from scratch, full stack products from prototype to production, and the integration layers that connect AI systems to existing CRMs, ERPs, and business tools. His experience includes fintech MVP development under compliance constraints (PCI DSS, SOC 2, KYC/AML), AI-native UX pattern design for conversational interfaces and agent outputs, and go-to-market strategy for technical founders launching new products.

Sergei bridges the gap between what AI can do and what business users can actually operate. He translates AI system capabilities into interfaces that do not require users to understand the underlying technology. When something is difficult to use, he considers that a build problem, not a user problem.

Areas of Expertise

• AI-native product design and conversational UX
• Full stack development (React, Next.js, Node.js, PostgreSQL)
• API design and system integrations (CRM, ERP, payment rails)
• Fintech product development and compliance architecture
• Strategy and prototyping (idea to clickable prototype)
• Branding and go-to-market for technical founders
• Cloud infrastructure and deployment
• Payment system integrations (Stripe, Plaid, Marqeta)
• Product strategy and user research

Published Articles

• AI Automation for Small Business: The Industry-Specific Implementation Guide - 5,200-word guide covering healthcare, finance, SaaS, and retail with a 90-day roadmap.
• AI Automation for Financial Companies: 7 Workflows to Automate - Practical workflows with real cost and ROI data for growing financial firms.
• AI Financial Dashboards: Why Off-the-Shelf Tools Are Not Enough - Custom AI dashboard features, costs, and when to build vs buy.
• How to Build a Fintech MVP in 2026 - Costs, compliance requirements (PCI DSS, KYC/AML, SOC 2), and technology stack decisions.
• AI for Healthcare Clinics: 5 Use Cases That Work - Scheduling, front desk, documentation, and insurance verification.
• RAG vs Fine-Tuning for Business: A Practical Decision Guide - Costs, timelines, and decision framework.
• Custom AI vs No-Code Automation: How to Decide - When Zapier works, when it breaks down, and when to build custom.
• AI Chatbot for Small Business: How to Choose - Off-the-shelf vs custom with real costs and ROI data.