AI AGENT / CASE STUDY
Automating Tier-1 Support with a Custom AI Agent
How we built a secure, LLM-powered autonomous agent that resolves 85% of customer queries instantly.
Highlights
Deployed a custom LLM-powered AI agent integrated directly with core banking APIs.
Handles 85% of tier-1 support queries autonomously without human intervention.
Average response time dropped from 45 minutes to under 2 seconds.
Overview
FinServe is one of Europe's fastest-growing digital banks. As their customer base expanded to over 2 million active users, their traditional support infrastructure struggled to keep pace, leading to long wait times and frustrated customers.
Challenge
The primary challenge was scale. FinServe relied heavily on manual data entry and human routing. During peak hours or market volatility events, support queues would back up, resulting in 45-minute average wait times. Expanding the human support team linearly was not economically viable.
Solution
BASK developed and deployed a custom, securely-hosted Large Language Model (LLM) agent. This AI agent was deeply integrated with FinServe's core banking APIs, allowing it to perform actions like blocking cards, disputing transactions, and resetting credentials. Complex or emotional queries are seamlessly handed off to human agents with full context.
"Our customer satisfaction scores have never been higher. The AI agent doesn't just answer questions; it resolves complex account issues instantaneously."
SSarah Jenkins
Head of Customer Experience, FinServe
Benefits
The AI agent now handles 85% of all incoming tier-1 support tickets autonomously. Response times have dropped to under 2 seconds, and the human support team is now able to focus entirely on high-value, complex problem-solving, improving employee morale and reducing churn.
Let's build
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