United StatesFinance and insurance2023 – ongoing

Central Bancompany

Five9 natural-language call routing

Central Bank reported roughly 80% success matching caller intent with natural-language routing

WorkingVendor case studyVendor ↗

Problem

Central Bank faced hiring constraints while its service center handled customer support and switchboard calls. Customers often wanted specific employees or local branches.

Approach

The bank adopted Five9 AI agents to route callers by employee, branch or department. Its team worked with a Five9 engineer to tune failed intents. Customers retained the option to speak to staff.

Results

~80%NLP success rate reported by Central Bank in Five9's case studyVendor case study[1]

Takeaway

An earlier keypad menu had already reduced operator calls. The total reduction in calls reaching agents cannot be attributed entirely to AI.

Sources

Central Bank Cuts Call Volume in Half
Five92023Vendor publication

Source summaries

[1]Five92023

Bank executives described NLP call routing and ongoing intent tuning. Operator calls fell after a keypad menu was introduced, then declined further after NLP deployment; the bank reported roughly 80% NLP success.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026