A tier-one Southeast Asian retail bank needed conviction to launch disruptive savings, loan, and insurance products across multiple high-growth markets. Traditional research relied on stated intent and months-long panels—making it impossible to compare regional demand or maintain regulatory rigor. The bank's growth team logged into Flashpoint.AI, configured Generative R&D studies on paid media rails, and spun up dynamic AI funnels that captured real customer behavior in every market. Within nine days, they observed live-payment intent for each concept and produced regulator-ready evidence with Bayesian confidence intervals.
Product and analytics leads assembled the workflow themselves: market sizing queries, Generative R&D deployments, and Bayesian dashboards chained together inside Flashpoint.AI’s no-code builder. Because the platform is self-serve and pay-as-you-go, they launched and iterated tests whenever risk surfaced—without waiting on vendor SOWs.
We deployed dynamic AI-generated funnels across the bank’s paid social, display, and affiliate ad inventory. Prospects moved through live savings, loan, and insurance experiences, while bank-grade KYC signals verified eligibility without depending on legacy sample providers.
Savings multipliers, instant credit lines, and bundled insurance riders were tested simultaneously across multiple Southeast Asian languages. Bayesian hierarchical models reconciled every signal into region-specific demand curves with quantified uncertainty.
Each in-market test captured real payment intent inside the funnel, automatically generating regulator-ready audit logs. Pricing, underwriting, and compliance teams received weekly Bayesian refreshes without waiting on external research vendors.
Put Generative R&D directly in your team’s hands to capture live, in-market evidence across languages, payment systems, and regulatory environments—no lengthy contracts or agency queues required.