---
slug: financial-services-insurance-claims-fnol
title: "Regional P&C Insurer Cuts Claims Inquiry Call Volume 68% with 24/7 AI Status Updates"
industry: Financial Services
useCase: Insurance Claims & FNOL
companySize: 450 employees, 35,000 claims/year
location: 6-state footprint
metaTitle: "Insurance Claims FNOL Case Study | QuickVoice"
metaDescription: "A regional P&C insurer used QuickVoice AI for 24/7 claims status and FNOL intake, cutting claims inquiry volume 68% and saving $612K/year."
canonical: https://quickvoice.co/case-studies/financial-services-insurance-claims-fnol
ogImage: ""
heroStat: "-68%"
heroStatLabel: "Claims inquiry call reduction"
tags: [Financial Services, Insurance, Claims, FNOL, Guidewire]
---

# Regional P&C Insurer Cuts Claims Inquiry Call Volume 68% with 24/7 AI Status Updates

When a policyholder files a claim, the experience that follows defines their relationship with their insurer. And the single most common experience — more common than the adjuster visit, more common than the settlement — is the status update call. "Where is my claim? Has anyone looked at it? When is my adjuster coming?" For a regional property and casualty insurer handling 35,000 claims per year across a six-state footprint, those calls had become the dominant workload for the claims department, consuming adjuster time that should have been spent investigating and settling claims. Worse, after-hours callers — often distressed policyholders calling about storm damage or auto accidents — reached nothing but a voicemail box. This is the story of how QuickVoice AI voice agents transformed the claims experience by providing 24/7 status updates, automating first notice of loss intake, and giving adjusters their time back — cutting claims inquiry call volume by 68% and saving $612,000 per year.

---

## 1. Company Profile

| Detail | Description |
|---|---|
| **Company Type** | Regional property & casualty insurer (mutual company) |
| **Lines of Business** | Personal auto, homeowners, commercial property, commercial auto, farm/ranch |
| **Policyholders** | 120,000 across personal and commercial lines |
| **Annual Claims Volume** | ~35,000 new claims per year |
| **Employees** | 450 (underwriting, claims, agency support, corporate) |
| **Claims Staff** | 62 (adjusters, examiners, managers, and support) |
| **Geographic Footprint** | 6 states in the central United States |
| **Claims Management System** | Guidewire ClaimCenter |
| **Agency Network** | 280 independent agents |
| **Regulatory Environment** | State DOI oversight, NAIC model act compliance, prompt payment statutes |

The insurer had been in operation for over 60 years, originally founded as a farm mutual before expanding into personal and commercial lines. Their six-state territory included significant exposure to severe convective storms, hail, tornadoes, and winter weather events. These catastrophe exposures meant that claim volume was highly seasonal and spiky — baseline volume of 2,500 to 3,000 new claims per month could surge to 8,000 or more during a major storm event. The claims department was staffed to handle normal volume, which meant every significant weather event triggered an operational crisis.

---

## 2. The Challenge

Vice President of Claims, Robert Ochoa, had managed through 14 catastrophe events in five years. Each one exposed the same structural weaknesses in the department's ability to communicate with policyholders.

### Status Update Calls Were Consuming 40% of Adjuster Time

The claims department received an average of 8,500 inbound calls per month. Internal tracking showed that 58% of those calls — nearly 5,000 per month — were policyholders calling to check the status of an existing claim. These calls were not complicated. The policyholder wanted to know whether their claim had been assigned to an adjuster, when the adjuster would contact them, whether an inspection had been scheduled, or when a payment would be issued. The information existed in Guidewire ClaimCenter, but policyholders had no self-service way to access it.

Each status call averaged 6.5 minutes, including hold time, authentication, the actual status lookup, and the explanation. For the 62-person claims team, this represented approximately 540 hours per month — or the equivalent of 3.4 full-time adjusters doing nothing but answering status calls. Robert estimated that 40% of his adjusters' available time was spent on these calls rather than on claim investigation, damage assessment, and settlement negotiation.

### After-Hours FNOL Intake Was Broken

The insurer offered a toll-free claims reporting line that operated 24/7, but "24/7" was misleading. During business hours, callers reached a claims intake specialist. After 5 PM and on weekends, callers reached a voicemail system with a recorded message asking them to leave their name, policy number, and a brief description of the loss. The voicemail-based process had three critical problems.

First, voicemail messages were often incomplete. Policyholders who had just been in a car accident or discovered storm damage to their roof were understandably distressed and frequently forgot to include essential information — policy numbers, dates of loss, other party details in auto claims. Intake staff spent 20 to 30 minutes per voicemail FNOL following up the next morning to collect missing data.

Second, voicemail FNOL created a 12-to-16-hour delay in claim initiation. A loss reported at 9 PM on a Friday night was not entered into Guidewire until Monday morning at the earliest. Prompt payment statutes in two of the insurer's six states required acknowledgment within a defined timeframe, and voicemail delays were pushing the insurer uncomfortably close to those deadlines.

Third, policyholders hated it. Post-claim surveys consistently showed that the FNOL experience was the single lowest-rated touchpoint in the entire claims journey. Comments like "I just had an accident and got a machine" and "No one was there when I needed them" appeared repeatedly.

### Catastrophe Events Overwhelmed the Entire Operation

During a major storm event, call volume spiked 400% to 600% above normal levels. In the most recent major hail event, the claims line received over 4,200 calls in a single day — more than three times the monthly average compressed into 10 hours. Hold times exceeded 45 minutes. The overflow answering service hired for catastrophe response could only take messages, not provide claim status or file FNOL. Policyholders who could not get through called their agents, who in turn called the claims department, creating a cascading overload that paralyzed the operation for days.

### Agent Satisfaction Was Declining

The insurer's 280 independent agents were the lifeblood of the distribution network. When policyholders could not reach the claims department, they called their agent. Agents were spending increasing amounts of time fielding claims status questions that they could not answer — they did not have access to ClaimCenter — and relaying messages to adjusters. Agent satisfaction surveys showed a 22-point decline in "ease of doing claims business" over two years. Three agencies had moved their primary carrier appointment to a competitor, citing claims service as the reason.

---

## 3. Why QuickVoice

Robert and his team evaluated two options: expanding the after-hours answering service to include trained claims staff, and deploying QuickVoice AI voice agents. The answering service expansion was quoted at $340,000 annually and still could not provide real-time claim status from Guidewire. QuickVoice offered both real-time status and automated FNOL at a fraction of the cost.

**Direct Guidewire ClaimCenter Integration.** QuickVoice built a native API integration with Guidewire ClaimCenter, enabling the AI agent to pull real-time claim status — assignment, inspection date, payment status, adjuster contact information — and deliver it to the policyholder in a conversational voice interaction. This was the decisive capability. No other solution offered real-time Guidewire integration with voice delivery.

**Structured FNOL Intake with Guided Data Collection.** The AI agent collected FNOL information through a guided conversational flow — date of loss, description of damage, location, other parties involved (for auto claims), whether the property was habitable, and whether emergency services were needed. The structured approach ensured that every required field in Guidewire was populated at the time of claim creation, eliminating the incomplete-voicemail problem entirely.

**SMS-Based Photo and Document Collection.** During the FNOL call, the AI agent offered to send the policyholder an SMS link to upload photos of the damage. For auto claims, this included photos of all involved vehicles, the accident scene, and any police report numbers. For property claims, this included roof damage, interior water damage, and personal property damage. Photos were attached to the claim in Guidewire automatically, giving the adjuster a visual record before their first contact.

**Infinite Scalability During Catastrophe Events.** Unlike a human call center that required days or weeks to staff up for a catastrophe, the AI agent scaled instantly. Whether 10 callers or 10,000 callers were on the line simultaneously, every one received immediate attention — no hold queue, no busy signal, no overflow to voicemail. For an insurer in tornado and hail country, this capability alone justified the investment.

> "The math was simple. We could spend $340,000 a year on an answering service that still could not tell a policyholder the status of their claim, or we could spend less than that on an AI that was connected directly to Guidewire and could answer the question in real time. It was not a close call."
> — Robert Ochoa, Vice President of Claims

---

## 4. The Solution

QuickVoice deployed two integrated capabilities: 24/7 claims status delivery and automated FNOL intake, both connected directly to Guidewire ClaimCenter.

### 24/7 Claims Status Voice Agent

When a policyholder called and indicated they were checking on an existing claim, the AI agent authenticated them using their policy number (or name and date of birth as a fallback), located the claim in Guidewire, and delivered a comprehensive status update in natural language. The status update included:

- **Claim assignment status:** Whether the claim had been assigned, and the name and direct phone number of the assigned adjuster.
- **Inspection scheduling:** Whether an inspection had been scheduled, the date and time, and any preparation instructions (e.g., "Please make the damaged area accessible").
- **Payment status:** Whether a payment had been issued, the amount, the date, and the method (check or EFT). For partial payments, the agent explained what the payment covered and what remaining steps were required.
- **Next steps:** A plain-language explanation of what would happen next in the claims process and the expected timeline.

If the policyholder had a question that went beyond status — a dispute with the adjuster's estimate, a request for supplemental payment, or a complaint — the AI agent captured the details and scheduled a callback from the assigned adjuster within one business day, placing the request directly into the adjuster's Guidewire activity queue.

### Automated FNOL Intake

For new loss reports, the AI agent guided the policyholder through a structured intake process tailored to the line of business. Auto claims followed one flow (date, location, description, other vehicles, injuries, police report). Homeowners claims followed another (date discovered, cause of loss, areas of home affected, habitability, emergency mitigation). Commercial property claims followed a third, including business interruption preliminary information.

The entire FNOL conversation was transcribed and attached to the claim record. Key data points were parsed and populated into the corresponding Guidewire fields. The claim was created in ClaimCenter in real time — not batched for the next morning — and the assignment engine routed it to the appropriate adjuster based on line of business, geography, and workload. For losses reported between 5 PM and 8 AM, the assigned adjuster received a push notification and email summary so they could make first contact at the start of the next business day.

### Adjuster Visit Auto-Scheduling

For claims that required a field inspection, the AI agent offered to schedule the adjuster visit during the FNOL call or status call. The agent accessed the adjuster's calendar in the scheduling module, presented available time slots to the policyholder, and confirmed the appointment — sending an SMS confirmation with the date, time, and adjuster name. This eliminated the back-and-forth phone tag that typically added 2 to 3 days to the inspection scheduling process.

---

## 5. Implementation

The deployment was completed in seven weeks, reflecting the complexity of the Guidewire integration and the need for line-of-business-specific FNOL flows.

### Weeks 1-2: Guidewire Integration

The QuickVoice engineering team worked directly with the insurer's Guidewire development team to build the API integration. The integration required read access to claim status, activity history, payment records, and adjuster assignment data, plus write access to create new claims, populate FNOL fields, attach documents, and create adjuster activities. All API calls were authenticated via OAuth 2.0, encrypted in transit, and logged for audit purposes. The integration was tested against 500 synthetic claims covering all five lines of business.

### Weeks 3-4: FNOL Flow Design and Compliance Review

FNOL intake flows were designed for each line of business — personal auto, homeowners, commercial property, commercial auto, and farm/ranch. Each flow was reviewed by the claims management team and the compliance officer to ensure that all state-required FNOL disclosures were included (e.g., the right to choose a repair facility in auto claims, the requirement to mitigate further damage in property claims). The farm/ranch flow was the most complex, requiring specialized questions about livestock loss, equipment damage, and crop impact.

### Week 5: Catastrophe Surge Testing

QuickVoice conducted a catastrophe simulation, generating 3,000 simultaneous inbound calls to validate that the system could handle peak event volumes. The simulation tested FNOL intake, status inquiries, and adjuster scheduling under maximum load. The system handled all 3,000 calls without degradation in response time or accuracy. The insurer's IT team monitored Guidewire performance during the surge and confirmed that the API load remained within acceptable thresholds.

### Weeks 6-7: Phased Rollout

Week 6 launched the claims status function only, handling inbound status calls during business hours alongside the existing human team. Adjusters monitored AI-delivered status updates for accuracy by reviewing a daily sample of 50 call transcripts. After five days with a 97% accuracy rate, the FNOL function was activated. Week 7 extended the system to 24/7 operation, replacing the voicemail-based after-hours process entirely. The adjuster auto-scheduling feature was activated at the end of Week 7.

---

## 6. Results

After 12 months of operation — including two significant catastrophe events — the insurer conducted a full performance review.

| Metric | Before QuickVoice | After QuickVoice | Change |
|---|---|---|---|
| **Claims status calls to agents** | 8,500/month | 2,720/month | **-68%** |
| **After-hours FNOL coverage** | Voicemail only (0% live intake) | 100% live AI intake | **+100 percentage points** |
| **Average FNOL intake time** | 14 minutes | 6.5 minutes | **-54%** |
| **FNOL data completeness (all fields populated)** | 62% | 98% | **+58%** |
| **Claimant satisfaction (post-FNOL survey)** | 3.4/5.0 | 4.1/5.0 | **+21%** |
| **Adjuster visits auto-scheduled** | 0% | 72% | **+72 percentage points** |
| **Avg days to first adjuster contact** | 3.2 days | 1.4 days | **-56%** |
| **Annual cost savings** | — | $612,000 | — |
| **Catastrophe call handling capacity** | ~800 calls/day (before overflow) | Unlimited (AI-scaled) | — |

### The Efficiency Story

The 68% reduction in claims status calls — from 8,500 to 2,720 per month — returned approximately 370 hours of adjuster time per month to actual claims work. That was the equivalent of 2.3 full-time adjusters who were no longer spending their days answering "Where is my claim?" calls. The insurer chose not to reduce headcount. Instead, adjusters were able to carry higher caseloads without sacrificing quality, and the average days-to-close for non-catastrophe claims improved by 11% as adjusters spent more time investigating and settling rather than fielding status inquiries.

The 72% auto-scheduling rate for adjuster inspections eliminated the most time-consuming coordination task in the claims process. Previously, scheduling a field inspection required an average of 2.4 phone calls between the adjuster and the policyholder — one to propose a time, one or more to negotiate an alternative if the first time did not work. With AI-automated scheduling, the adjuster simply blocked their available times in the calendar, and the policyholder selected a slot during their FNOL or status call. The 1.8-day reduction in average first-contact time (from 3.2 days to 1.4 days) improved prompt-payment-statute compliance and policyholder satisfaction simultaneously.

### The After-Hours Story

The transformation of after-hours FNOL was one of the most impactful changes. In the 12 months of operation, QuickVoice handled 4,200 after-hours FNOL reports — claims that would have previously gone to voicemail and waited until the next business day for processing. Of those, 31% were auto-related losses reported between 5 PM and midnight (often immediately after an accident), and 22% were property losses reported during weekend storm events. The 98% data completeness rate on AI-handled FNOL — compared to 62% for the old voicemail process — meant that adjusters could begin their work immediately upon assignment, without the 20-to-30-minute follow-up call to collect missing information.

### The Catastrophe Story

Two catastrophe events occurred during the 12-month measurement period — a June hail storm and a November ice storm. During the hail event, the AI agent handled 6,800 calls in a single 48-hour period, including 2,100 new FNOL reports and 4,700 status inquiries from existing claimants. Zero callers received a busy signal. Zero callers were routed to voicemail. Average hold time during the surge was 8 seconds. The insurer's catastrophe response coordinator reported that the event was the smoothest catastrophe operation in company history, despite generating the second-highest claim count on record.

> "During the June hail storm, I kept waiting for the phone system to collapse like it always did. It never happened. Every policyholder who called got an answer immediately. FNOL was filed in real time. Adjuster visits were scheduled before we even opened the office the next morning. It felt like we had suddenly become a company three times our size."
> — Lisa Tran, Catastrophe Response Coordinator

### The Agent Satisfaction Story

The insurer's 280 independent agents noticed the difference immediately. Policyholders who could reach the claims department directly — 24 hours a day — stopped calling their agents for status updates. Agent satisfaction surveys conducted six months after deployment showed a 19-point improvement in "ease of doing claims business," recovering nearly all of the ground lost over the previous two years. No agencies defected during the measurement period, and four agencies that had reduced their business volume with the insurer increased it back to prior levels.

---

## 7. What's Next

The insurer is planning three QuickVoice expansions over the next 18 months.

### Proactive Claims Status Outreach

Rather than waiting for policyholders to call for status updates, the insurer will deploy outbound AI voice calls that proactively notify claimants when their claim reaches key milestones — adjuster assignment, inspection scheduling, estimate completion, and payment issuance. The goal is to reduce the remaining 2,720 monthly status calls by another 50%, pushing the total reduction to 84% and effectively eliminating status inquiries as a workload category.

### Subrogation and Salvage Coordination

For auto claims with subrogation potential, the AI agent will handle outbound calls to adverse carriers to initiate the demand process, track response timelines, and escalate non-responsive carriers to the subrogation team. For total-loss claims, the agent will coordinate salvage vehicle pickup scheduling with the insurer's salvage partners. Both workflows are currently manual, paper-intensive, and responsible for significant cycle-time delays.

### Policyholder Renewal and Retention

Building on the trust established through the claims experience, the insurer plans to deploy QuickVoice for proactive renewal outreach. The AI agent will call policyholders 30 days before renewal to confirm coverage adequacy, explain any premium changes, and offer bundling opportunities — routing interested policyholders to their local agent for detailed consultation. The expected impact is a 3-to-5-point improvement in retention rate, worth an estimated $1.8 million in annual premium retention.

---

## 8. Key Takeaways

- **Status calls are the largest hidden cost in claims operations.** More than half of all inbound claims calls were policyholders asking for information that already existed in the claims system. Automating the delivery of that information returned 370 adjuster-hours per month to actual claims work — the equivalent of 2.3 full-time employees.
- **After-hours FNOL is a service quality gap that voicemail cannot fill.** Policyholders who experience a loss outside business hours are at their most anxious and most in need of reassurance. A voicemail box communicates the opposite of what they need to hear. An AI agent that immediately begins the intake process, collects complete information, and confirms next steps transforms a negative experience into a positive one.
- **Catastrophe scalability is an existential capability for regional insurers.** A human call center staffed for normal volume will always fail during a catastrophe event. AI voice agents that scale instantly and infinitely turn the worst operational days of the year into the smoothest — exactly when policyholder trust is most on the line.
- **Adjuster time is the scarcest resource in a claims operation — protect it.** Every hour an adjuster spends answering status calls is an hour not spent investigating, estimating, and settling claims. The 56% reduction in days-to-first-contact was a direct result of giving adjusters their time back, and it improved both policyholder satisfaction and regulatory compliance simultaneously.

> "We used to measure our catastrophe response by how long it took to dig out from the call backlog. Now we measure it by how many claims we can get to first contact within 24 hours. That shift in mindset — from surviving the event to serving the policyholder — is what QuickVoice made possible. The $612,000 in annual savings is meaningful, but the real value is that our policyholders and agents trust us again when it matters most."
> — Robert Ochoa, Vice President of Claims
