Claims Operations
Identifies the specific process steps generating repeat contacts and extended cycle times — delivered to the team that can fix them, by claim type, coverage line, and adjuster behavior.
A claim moves through five stages — and at every one, the interaction carries signals the claim file never captures. Spearfish reads all of them, across 100% of your FNOL, status, and appeal conversations, and routes what it finds to the team that can act.
Trace a claim from first notice to close. At each step there's a signal hiding in the conversation — and something Spearfish surfaces the moment it happens.
Incomplete intake, an early coverage misstatement, or a policyholder who's already frustrated.
Intake-completeness gaps and coverage-language risk, flagged before the file moves downstream.
Misrouting and assignment delays that quietly generate repeat "where's my adjuster?" contacts.
The assignment friction driving repeat contacts, routed to the ops team that owns the queue.
Statement inconsistencies that hint at fraud, and adjuster behaviors that lengthen cycle time.
SIU-relevant inconsistency patterns and the adjuster behaviors that predict resolution — or don't.
A denial explained but not understood — the seed of an appeal or a DOI complaint.
Denial-clarity and comprehension scores that flag the calls headed toward appeal before one is filed.
Attorney-intent language and a policyholder deciding, quietly, not to renew.
Pre-litigation and non-renewal signals, early enough for retention to still intervene.
The claim file records what was decided. It doesn't record how the conversation went — and that's where the cost is created.
Most carriers score a small QA sample and use it to coach agents. The intelligence that should reach claims operations, SIU, and customer experience never leaves the contact center.
It stays invisible — until it surfaces as a complaint, a delayed settlement, an E&O exposure, or a policyholder who silently doesn't renew.
Identifies the specific process steps generating repeat contacts and extended cycle times — delivered to the team that can fix them, by claim type, coverage line, and adjuster behavior.
Structured claim data doesn't capture everything. Spearfish surfaces the conversational inconsistency patterns that do — across statements, contacts, and records — before payment is made.
Pre-complaint and pre-litigation signals are obvious in hindsight. Spearfish makes them visible early enough to act — pinpointing the status update that sent a customer looking for an attorney.
Coverage confusion starts in how products are written and communicated. Spearfish surfaces the policy language driving preventable dispute contacts before it shows up in loss ratios.
Repeat contact rates fall because root causes reach the people who can fix them — not just the people managing the queue.
Cycle times shortened where the root cause was hiding in the interaction.
Surfaced before payment — not after.
Pre-complaint signals caught while intervention is still possible.
Root causes fixed by the team that owns the process.
A 30-minute working session with a Spearfish solutions engineer — bring a claim type, a contact channel, or a recurring escalation. We'll show you the intelligence you're missing.
