Claims processing · Production

Fluents AI voice agents automate insurance quoting, FNOL, enrollment, and renewals end-to-end

The problem

Insurance agencies and carriers struggle with missed calls, staff shortages, and manual intake workflows that drain productivity and revenue, with every unanswered call risking a lost quote, a delayed claim, or a dissatisfied policyholder.

Workflow diagram · grounded in source
1
Inbound call received
trigger
“Fluents answers every inbound call after hours or during overflow, qualifies intent, and schedules licensed-agent follow-ups automatically with SMS and email summaries”
2
AI qualifies intent and collects data
ai_action
“Collect drivers, VINs, carrier history, and incident details for new policies or claims. Fluents creates structured AMS or CRM records automatically”
3
FNOL triage
ai_action
“The AI voice agent guides policyholders through every step of the FNOL (First Notice of Loss) process, verifying policy details, etc.”
4
Sync to AMS/CRM
integration
“Fluents syncs structured data directly into platforms like Applied Epic, Vertafore, and AgencyBloc”
5
Compliance logging
output
“Every call is logged with consent tracking, disclosure scripting, and DNC validation — ensuring auditable, regulator-ready records every time”
6
Follow-up scheduling
output
“schedules licensed-agent follow-ups automatically with SMS and email summaries”
Reported outcome

Fluents replaced an answering service that cost 5x more while performing better, and handles thousands of daily calls with 99.9% uptime without adding headcount.

Reported metrics
Cost vs previous answering service5x more
Platform uptime99.9%
Daily call volume handledthousands of daily calls
Reported stack
FluentsVtigerSalesforceAMS360GuidewireDuck CreekApplied EpicVertaforeAgencyBloc
Source
https://fluents.ai/customers/insurance
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Fluents replaced an answering service that cost 5x more while performing better, and handles thousands of daily calls with 99.9% uptime without adding headcount.

What tools did this team use?

Fluents, Vtiger, Salesforce, AMS360, Guidewire, Duck Creek, Applied Epic, Vertafore, AgencyBloc.

What results were reported?

Cost vs previous answering service: 5x more; Platform uptime: 99.9%; Daily call volume handled: thousands of daily calls (source-reported, not independently verified).

How is this claims processing AI workflow structured?

Inbound call received → AI qualifies intent and collects data → FNOL triage → Sync to AMS/CRM → Compliance logging → Follow-up scheduling.

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