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FinTech · Conversational AI

AI voice agent for FinTech support

Automating high-volume tier-1 support with low-latency conversational AI and secure ledger integration.

Tier-1 calls automated
60%
Wait time
15m → 0s
Ops cost reduction
45%
Round-trip latency
<800ms

Problem

A scaling European FinTech was drowning in tier-1 support calls. Their IVR was rigid, users hated it, and peak trading hours meant 15+ minute waits and high abandonment.

They needed a human-like voice agent that could authenticate users, retrieve balances securely, and complete basic transactions — without opening the core ledger to a black-box vendor.

Approach

Event-driven voice pipeline on Twilio, with Google Cloud Speech-to-Text for streaming transcription and Deepgram TTS for natural responses.

Orchestration on AWS (API Gateway + Lambda) with a fine-tuned LLaMA-based intent model and Redis for conversational state.

Account actions went through hardened internal APIs to the bank ledger — never through the model’s context window as a free-for-all toolbelt.

Latency budget owned end-to-end: STT → LLM → tool calls → TTS kept under ~800ms so the conversation felt continuous, not robotic.

Outcome

Within the first month, 60% of tier-1 calls were handled without a human. Wait times collapsed to zero for automated intents. Call-centre cost dropped ~45%, and human agents focused on disputes and edge cases instead of balance lookups.

Stack

  • Twilio Voice
  • Python / FastAPI
  • AWS Lambda
  • Google STT
  • Deepgram TTS
  • Fine-tuned LLaMA
  • Redis