How a Fintech Startup Built an AI Financial Advisor in 8 Weeks
A Series A fintech startup partnered with Opscale to build an AI-powered financial advisor that increased user engagement by 3x.
The Challenge
FinFlow, a Series A personal finance startup, wanted to add an AI financial advisor to their mobile app. Their engineering team was strong in backend and mobile development but had zero experience with LLMs, prompt engineering, or building conversational AI features.
They'd spent 6 weeks trying to build it themselves and had a prototype that hallucinated financial advice, couldn't handle follow-up questions, and was too slow for mobile.
Our Approach
We ran an AI Strategy Sprint followed by 6 weeks of Hands-On Build Advisory.
Week 1-2: Strategy Sprint
- Audited the existing prototype and identified core issues
- Defined the AI product requirements and safety constraints
- Designed the system architecture: RAG pipeline + guardrails + streaming
Week 3-4: Foundation
- Built a RAG pipeline over FinFlow's knowledge base of financial regulations and product docs
- Implemented a custom guardrail system to prevent harmful financial advice
- Set up evaluation pipelines with golden Q&A datasets
Week 5-8: Iteration
- Integrated the AI advisor into the mobile app with streaming responses
- Fine-tuned prompts based on real user testing
- Built a monitoring dashboard for response quality
The Results
The AI financial advisor launched on schedule and immediately impacted key metrics:
- 3x increase in average session duration
- 40% reduction in support tickets for common financial questions
- 92% user satisfaction rating in post-launch surveys
- Sub-2-second response times on mobile
Client Testimonial
"Opscale didn't just help us build an AI feature — they taught our team how to think about AI products. We're now building our second AI feature entirely in-house."
— Sarah Chen, CTO at FinFlow