FintechMost conversational AI apps fail on the parts users never see. The interface is the easy half; the system behind it — LLM orchestration, retrieval and human handoff — is what decides whether the product holds up in week ten.
Who the product actually serves
A conversational AI product usually serves support and self-service. Treating them as one audience with one app is the most common and most expensive early mistake.
The integration layer
The build is mostly integration work: LLM orchestration, retrieval and human handoff. Sandbox access and partner API timelines are the schedule risk worth surfacing in week one, not month three.
What we watch closely
On conversational AI builds we pay particular attention to containment rate, hallucination control and escalation. These are the things that quietly determine retention and support volume once real usage arrives.
How we work
Wve Labs brings product strategy, design and engineering together — mobile, web, custom software and applied AI. We have built for Sony, Honda, Guardian, Marriott, USC and Maui Jim since 2015, and we scope a first release that proves the core loop before expanding it.
Talk to us
Engagements start around $25,000. business@wvelabs.com · (800) 588-9094.
Building something like this? We do this for a living.
Wve Labs designs, builds and launches secure financial products — mobile, web and the platform behind them.
business@wvelabs.com