Find the denial conversations that generate appeals and complaints
Coach the patterns that create downstream work for your appeals and customer service teams.
Carriers run millions of FNOL intakes, coverage questions, and denial conversations a year. The intake errors, coverage misstatements, and missed escalations buried in them drive downstream rework, appeals, and exposure your QA program never sees. Spearfish surfaces them across 100% of calls.
Traditional QA scores a 1–3% sample for tone and handle time. In insurance, the costly patterns — bad intake, coverage misstatements, missed escalations — hide in the other 97%, and don't surface until they're an appeal, a reopened claim, or an E&O exposure.
Four places where contextual intelligence catches the patterns creating downstream work for your claims, appeals, and customer service teams.
Coach the patterns that create downstream work for your appeals and customer service teams.
Identify the intake errors creating extra work for claims handling.
Audit what your agents are telling customers about policy terms and surface the inconsistencies.
Identify the calls where the script was delivered but the customer didn't actually understand.
| Metric | Scope |
|---|---|
| FNOL Intake Completeness | First-call accuracy |
| Coverage Misstatement Flag | E&O exposure |
| Denial Clarity Score | Appeal risk |
| Missed Escalation Rate | 100% coverage |
| Customer Comprehension Rate | Per call type |
| Sentiment Trajectory | Call arc, not snapshot |
| True Resolution Rate | Outcome, not code |
Traditional analytics tell you what happened — the call lasted 11 minutes, the FNOL was logged, the denial was read aloud. Contextual intelligence tells you what actually happened: the intake was missing two fields your adjuster needs, the agent misstated coverage, and you have an appeal — and an E&O exposure — you could have prevented.
Spearfish sits on top of the contact center and claims systems you already run — without replacing anything.
REST API integration with your CCaaS, CRM, and claims management systems. No rip-and-replace, no new data collection infrastructure. Connect what you already have.
Describe what you want to measure — "Did the agent capture the loss details accurately and avoid overstating coverage?" — and Spearfish applies it to every interaction.
Contextual meaning extracted from every voice, chat, and email — intake completeness, coverage accuracy, denial clarity, missed escalations, and comprehension — scored against your standards.
Coaching alerts fire on the patterns generating appeals and E&O risk — before they reach your appeals queue, your claims handlers, or a regulator.
Coverage misstatements are the seed of an E&O claim. Spearfish audits what your agents actually tell customers about policy terms across 100% of calls, surfaces the inconsistencies, and gives you the evidence to correct them before they become a loss.
Examiners ask about how claims and denials are handled — not whether a phrase was spoken. 100% monitoring means every denial and FNOL interaction is evaluated, flagged, and logged, available for review or a market conduct exam.
Pre-appeal signals are recognizable in the denial conversation itself. Spearfish catches the patterns that generate appeals and DOI complaints early enough to coach them out — not after the filing lands.
Enterprise-grade encryption for data in transit and at rest, with a full compliance framework for sensitive policyholder and claims data. Your data stays yours — Spearfish surfaces the intelligence; you own and control the underlying interactions.
Connect your existing recordings and systems. Get actionable intelligence in days, not months.
