Customers pay premiums for years and rarely interact with their insurer — until something goes wrong. That one claim, that one call, defines the entire relationship. Handle it well and you have a customer for life with cross-sell potential. Handle it poorly and you lose them — and everyone they tell.
20+ yrs
average customer lifecycle — each relationship is worth decades of premiums
1-2
interactions per year on average — every one of them defines the relationship
3-5x
cross-sell potential per policyholder — home, car, life, health, pension
Rare interactions. Enormous stakes.
Insurance is the ultimate relationship business. Customers interact rarely, but when they do — a claim, a renewal question, a life change — every detail matters. The conversation reveals fraud signals, cross-sell opportunities, regulatory exposure, and whether your claims process is building loyalty or destroying it.
Turn claims into loyalty. Turn conversations into revenue.
Labelf analyzes every policyholder interaction — claims calls, renewal conversations, service inquiries — and structures it into intelligence for claims, underwriting, compliance, and commercial teams.
A customer who just had a positive claims experience and mentions they're buying a new house? That's not just a satisfied customer — it's a home insurance lead with perfect timing.
- Claims fraud detection Inconsistent stories across calls, coached or rehearsed language, exaggerated descriptions — flagged automatically for SIU review from conversation analysis.
- Claims experience quality Track empathy, accuracy, and process adherence across 100% of claims interactions. Find which handlers create loyalty and which create complaints.
- Life event cross-sell New home, new baby, retirement plans — life changes surface naturally in conversations. Labelf captures them as qualified leads with full context and timing.
- Renewal retention intelligence Spot price sensitivity, competitor mentions, and dissatisfaction signals months before renewal — and act with personalized retention offers.
Protect policyholders. Detect fraud. Grow the book.
One platform that serves claims, compliance, retention, and commercial — all from the same customer conversations.
Claims Quality & Fraud
Verify every claims interaction for accuracy, empathy, and fraud indicators. Surface suspicious patterns for SIU review.
Renewal Retention
Detect churn risk from conversations months before renewal. Personalized retention offers based on the actual relationship history.
Life Event Cross-sell
New home, new baby, new car — life changes mentioned in conversations become qualified leads. Right product, right timing, right context.
Handler Coaching
Coach claims handlers on empathy and accuracy with specific examples. The difference between a retained customer and a lost one is often in the words.
Insurance is sold on price. It's kept on trust.
Comparison sites commoditize your product. The only thing that can't be compared on a spreadsheet is how you treat your customers when it matters most. Labelf helps you make every claims interaction, every renewal call, and every service touchpoint a reason to stay.
A policyholder calls about a water damage claim. The handler is empathetic, the process is smooth, the customer mentions they're renovating the kitchen and expanding the house. That's not just a resolved claim — it's a home insurance upgrade, a contents coverage increase, and a decade of loyalty. Labelf captures all of it.
Every claim is a relationship moment. Make it count.
Fraud hides in language. Labelf reads it.
Traditional fraud detection looks at numbers — claim amounts, frequency, timing. But sophisticated fraud leaves language signals that numbers miss. Labelf analyzes the actual conversations to surface what structured data can't.
Inconsistent narratives
Story changes between calls. Details contradict earlier statements. Timeline doesn't add up.
Coached language
Unusually specific terminology. Rehearsed phrasing. Language patterns that suggest external coaching on what to say.
Cross-claim patterns
Similar descriptions across unrelated claims. Organized fraud rings using consistent scripts across multiple policyholders.
Built for Insurance Integrity.
European hosting. On-prem capable. GDPR-native. PII anonymization. Custom models trained by your claims and compliance teams — not data scientists.
Claims interactions analyzed
Third-party data sharing
Average integration window
