Building a SaaS AI fintech product combines three complex domains—each with different requirements, constraints, and failure modes. Here's what I've learned from the architectural trenches.
AI Module Integration
AI models aren't just APIs you call. They're probabilistic systems that require careful integration, monitoring, and fallback strategies. When decisions affect financial transactions, reliability becomes critical.
Fintech Compliance and Architecture
Financial systems have regulatory requirements that shape architecture. Audit trails, data residency, transaction atomicity—these aren't afterthoughts. They're first-class architectural concerns.
Scaling for Growth
SaaS economics demand you scale efficiently. Overbuilding wastes runway. Underbuilding creates technical debt. Finding the right balance requires understanding current needs and likely growth trajectories.
Knowledge Sharing and Documentation
Complex systems require deliberate knowledge transfer. Documenting system logic, architectural decisions, and operational runbooks isn't optional—it's how you scale beyond yourself.
