Achieved 3.1x Insight Growth with an AI MVP for a FinTech Startup

• SME founders had access to financial data but lacked clarity on what actions to take.
  
• Manual spreadsheets and basic accounting tools failed to provide predictive insight.
  
• The startup needed an AI-powered MVP that translated transactions into decision-ready intelligence

• Financial data was scattered across banks, accounting tools, and invoicing systems.
  
• Traditional dashboards overwhelmed users who were not finance experts.
  
• Manual categorization consumed time without adding strategic value.
  
• AI recommendations had to be accurate, explainable, and trustworthy.

• Conducted idea & validation workshops to narrow down high-impact financial use cases.
  
• Ran a focused product design sprint to simplify complex financial workflows.
  
• Built and tested core logic through rapid prototyping before full-scale build.
  
• Engineered secure API integrations during MVP development to unify financial feeds.
  
• Implemented AI integration using LangChain and OpenAI models for real-time insights.
  
• Deployed scalable cloud infrastructure with event-driven recalculations for accuracy.

The delivered AI-powered FinTech MVP repositioned the FinTech startup from a basic financial tool provider to a proactive financial intelligence partner.

• 89% faster month-end task completion for SMEs using the co-pilot.
• 54% reduction in manual categorization efforts across transaction workflows.
• 41% improvement in forecast accuracy, allowing businesses to anticipate liquidity gaps.
• 3.1x increase in insight engagement within the platform, measured through in-app behavioral analytics.