Call center ai · Production

Cresta drives 7% revenue increase for Fortune 500 insurance company with real-time AI coaching

The problem

A Fortune 500 insurer needed to scale agent coaching during peak season but had no live coaching system; individual coaching sessions tied up significant supervisor time and limited how many agents could be meaningfully coached.

Workflow diagram · grounded in source
1
Inbound call arrives
trigger
“a significant increase in calls to their contact center”
2
Agent Assist live alerts
ai_action
“agents receive live alerts about areas of opportunity while on calls, empowering them to maximize their performance and deliver increased value on each of their conversations”
3
Real-time coaching identification
ai_action
“supervisors are now able to identify coaching opportunities as they are happening for their whole broker population, leading to a far more effective salesforce – even in the case of newer or seasonal agents”
4
Unstructured data to insights
ai_action
“Cresta Insights has been instrumental to the team, giving them the power of real-time intelligence that turns unstructured data into actionable insights”
5
Data-backed supervisor decisions
output
“supervisors are able to accelerate learnings across their agents and make data-backed business decisions more quickly”
Reported outcome

In the first nine months, the company achieved a 7% increase in revenue via direct mail, a bump in premiums revenue, reduced ramp time for new agents, and plans for broader deployment with forecasted benefits of over $5M.

Reported metrics
Revenue increase via direct mail7%
Premiums revenuebump in premiums revenue
New employee ramp timeramp time for new employees decreased
Forecasted benefits from broader deploymentover $5M
Reported stack
Cresta Agent AssistCresta CoachCresta Insights
Source
https://cresta.ai/customers/fortune-500-insurance-company
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

In the first nine months, the company achieved a 7% increase in revenue via direct mail, a bump in premiums revenue, reduced ramp time for new agents, and plans for broader deployment with forecasted benefits of over…

What tools did this team use?

Cresta Agent Assist, Cresta Coach, Cresta Insights.

What results were reported?

Revenue increase via direct mail: 7%; Premiums revenue: bump in premiums revenue; New employee ramp time: ramp time for new employees decreased; Forecasted benefits from broader deployment: over $5M (source-reported, not independently verified).

How is this call center ai AI workflow structured?

Inbound call arrives → Agent Assist live alerts → Real-time coaching identification → Unstructured data to insights → Data-backed supervisor decisions.

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