AI Support Automation Increased FCR & Reduced Repeat Contacts
This case study is relevant if you're…
- Handling 1,000+ support tickets daily with high repeat-contact rates
- Struggling with FCR below 80% or inconsistent agent responses
- Onboarding agents quickly and needing faster ramp-up
Context
Mid-sized prop trading firm experiencing rapid trader onboarding growth and high support load across email and live chat.
The Problem
The firm was receiving 1,200–1,500 tickets daily, with many traders reopening tickets due to incomplete responses.
- FCR stuck at 61%
- Repeat contacts within 48 hrs at 34%
- Agents missing critical verification steps
- Escalations overwhelming senior staff
The Solution
Volantis Ops implemented an AI-assisted workflow designed for fintech precision.
- AI ticket classification by intent (KYC, payouts, platform access)
- Smart response scaffolding using compliance-approved macros
- Mandatory checklist prompts for KYC & payout issues
- Consolidated 120+ fragmented macros → 35 standardized workflows
- Built decision trees for top 20 ticket intents
Outcome (within 45 days)
-
01FCR increased from 61% → 84%
-
02Repeat contacts reduced 34% → 12%
-
03Average resolution time reduced 28%
-
04New agent ramp-up time reduced 50%
"The change was immediate. Within two weeks our agents stopped firefighting repeat queries and started actually resolving tickets the first time. The macro system alone saved us from hiring two additional senior agents."
Head of Support Operations
Prop Trading Firm · CS01
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