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[Case Study // Fintech Pro]

Scaling Support without Scaling Headcount

We built an intelligent Triage Agent that categorizes, drafts, and resolves Tier 1 support tickets automatically.

Scaling Support without Scaling Headcount
60%
Reduction in Tickets
<1 min
Response Time
$120k
Cost Savings
10x
ROI

Technologies

PythonFastAPIOpenAI GPT-4SupabaseRetool

The Challenge

The client, a rapidly growing Fintech startup, was drowning in support tickets. Their support team of 5 agents was handling 500+ tickets a day, leading to burnout and 48-hour response times. They needed to scale support to handle 10x growth without hiring 50 more agents.

The Solution

We built a 'Human-in-the-Loop' AI Agent system. 1. Ingestion: All incoming emails and chat messages are routed through our Python backend. 2. Analysis: GPT-4 analyzes the sentiment, intent, and urgency of the message. 3. Action: - If it's a common question (FAQ), the AI drafts a response and sends it (Tier 1). - If it requires account access, the AI drafts a response and leaves it as a 'Draft' for a human agent to review and click 'Send' (Tier 2). - If it's complex/legal, it tags it for a Senior Agent (Tier 3).

The Result

The system was deployed in 4 weeks. Within the first month, 60% of all incoming tickets were fully resolved by the AI without human intervention. Response times dropped from 48 hours to under 1 minute for Tier 1 issues. The support team could finally focus on complex, high-value customer interactions.

[Next Steps]

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