FinTech

Voice AI Customer Support

80% Automation Rate across a 6 months delivery with 11 engineers.

6 Months11 Engineers2024
80% Automation Rate

Automation Rate

5x

15%80%

Wait Time

96%

12min0.5min

CSAT Score

+44%

3.2/54.6/5

Annual Cost

65%

8$M2.8$M

The Challenge

The banking platform was handling very high call volumes with long queues, rising support costs, and uneven service quality. Customers often waited too long for routine account and service requests that should have been resolved faster.

Our Solution

We introduced a voice AI layer that could understand intent, handle common journeys, connect to backend data, and pass more complex calls to human agents with context intact.

Business Impact

The support operation handled a far larger share of calls automatically, reduced wait times sharply, and improved customer satisfaction while lowering the cost to serve.

Performance Timeline

BeforeAfter

Our Process

1Call Flow Analysis
2NLP Model Training
3Voice Integration
4Agent Handoff Logic
5Pilot Launch
6Full Deployment

Delivery Snapshot

Automation
80%
CSAT
92%
Uptime
99%

Tech Stack

Azure Speech ServicesOpenAITwilioPythonFastAPIRedisPostgreSQL

Technologies

Voice AINLPAzurePythonTwilio

Project Details

ClientNational Banking Platform
IndustryFinTech
Duration6 Months
Team Size11 Engineers
Year2024

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