Customer support · Production

FundedNext launches Fundee AI voice assistant powered by ElevenLabs Conversational AI

The problem

FundedNext serves traders globally who operate in fast-moving markets and often require quick answers, making it difficult to deliver immediate, native-language support 24/7 with a traditional team.

Workflow diagram · grounded in source
1
Trader initiates voice query
trigger
“FundedNext built Fundee, an AI assistant integrated into its website to enhance traders' experience”
2
Conversational AI processes in real time
ai_action
“Real-time voice output with low latency for conversational responses. 32-languages support, enabling localized help for users worldwide. Seamless integration with FundedNext's trading-specific rules and FAQ data.”
3
Instant multilingual answer delivered
output
“Fundee gives our traders instant answers in their own language, 24/7”
4
Complex cases routed to support team
routing
“These improvements allow the support team to focus on complex cases while ensuring traders receive rapid, accurate answers to common questions”
Reported outcome

Fundee reduced first response time by 80% from 25 seconds to 5 seconds, cut average resolution time from 40 minutes to 2.08 minutes, and scaled to 3,000 queries per day compared to 90 previously handled by a human agent.

Reported metrics
First response time improvement80%
First response time (before to after)25 seconds to 5 seconds
Average response time (before to after)60 seconds to 5 seconds
queries handled per day (Fundee vs. previous human)3000 queries per day compared to 90 queries previously
Show all 11 reported metrics
first response time improvement80%
first response time (before to after)25 seconds to 5 seconds
average response time (before to after)60 seconds to 5 seconds
queries handled per day (Fundee vs. previous human)3000 queries per day compared to 90 queries previously
average resolution time (before to after)40 minutes to 2.08 minutes
queries solved per hour125 queries per hour
throughput multiplier (queries per hour vs. previous rate)ten times the previous rate
calls handled in first 12 days36,023 calls
minutes of support delivered in first 12 days102,252.8 minutes
languages supported32 languages
support efficiency improvement (qualitative)reduced response times and improved overall support efficiency
Reported stack
ElevenLabs
Source
https://elevenlabs.io/blog/fundednext
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Fundee reduced first response time by 80% from 25 seconds to 5 seconds, cut average resolution time from 40 minutes to 2.08 minutes, and scaled to 3,000 queries per day compared to 90 previously handled by a human agent.

What tools did this team use?

ElevenLabs.

What results were reported?

First response time improvement: 80%; First response time (before to after): 25 seconds to 5 seconds; Average response time (before to after): 60 seconds to 5 seconds; queries handled per day (Fundee vs. previous human): 3000 queries per day compared to 90 queries previously (source-reported, not independently verified).

How is this customer support AI workflow structured?

Trader initiates voice query → Conversational AI processes in real time → Instant multilingual answer delivered → Complex cases routed to support team.

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