Solution · Insurance

Claims settled in days, not weeks

Automate the claims lifecycle end to end: digital first notice of loss by app, smart triage, AI-assisted fraud detection, and fast settlement — with the policyholder informed at every step.

0%

less time to settle claims when the flow is digital end to end (industry benchmark)

The challenge

In claims, every day of delay is expensive

It's the moment of truth in insurance: pay the legitimate claim fast, stop fraud, and do it all without inflating cost. The gaps we see most:

Manual intake and review

Phone notice, paper forms, and repeated data entry. Every claim starts slow and passes through too many hands before anyone decides anything.

The policyholder in the dark

With no status and no timeline, the customer calls, complains, and loses trust. Waiting without information is what most erodes NPS at the exact moment they need you.

Fraud that's hard to catch

Suspicious patterns hide in the volume. Without data analysis and risk signals, fraud slips past manual review and becomes a direct hit to loss ratios.

High operating cost

Rework, handoffs between teams, and spreadsheet-based control inflate the cost per claim. The process ties up staff who should be caring for the customer.

How we implement

From intake to payout, the whole cycle automated

We bring to claims what we've mastered in financial and AI products: digital journeys, workflow automation, and risk models in production.

Digital first notice of loss (FNOL) by app

The policyholder files the notice from their phone, attaches photos and documents, and describes what happened in a few taps. FNOL can be structured as a guided journey with clean data capture from first contact — no call center as the bottleneck.

Automated triage and workflow

Business rules classify, prioritize, and route each case automatically: an express path for the simple, dedicated review for the complex. The full cycle can be orchestrated with end-to-end traceability and a visible SLA.

AI-assisted fraud detection

Machine learning models cross-reference history, patterns, and risk signals to score each claim and flag what deserves a human look. The technology speeds up the legitimate claim and concentrates investigation where it truly pays off — the reviewer decides.

Settlement and policyholder communication

Approval, calculation, and payment connected to policy systems, with the policyholder tracking each step through real-time notifications. The cycle closes with fast settlement and transparent communication through to payout.

Technologies

Technologies & partners

Python
Node.js
Machine Learning
PostgreSQL
AWS
Python
Node.js
Machine Learning
PostgreSQL
AWS

Common questions about claims automation

Let's speed up your claims settlement

Bring your claims challenge. You'll leave the conversation with a clear technical path, from digital intake to settlement with fraud detection.