Our insurance-trained AI reads FNOL intake, documents, and legacy claims systems together, so adjusters investigate and settle claims on complete information instead of assembling it themselves.
The Problem
Rising Claim Volumes Are Outpacing Manual Claims Handling
The Solution
How does InsOps Help?
How Adjusters Turn Claim Backlogs into Faster, Consistent Resolutions
High Claim Volumes
We triage incoming claims by severity, complexity, and urgency, so adjusters focus on high-impact cases first instead of working strictly by order of arrival.
Manual Document Review
We extract, summarize, and validate claim information straight out of police reports, repair estimates, medical records, invoices, and photos, automatically.
Fraud Detection
We apply anomaly detection, image analysis, network analytics, and predictive fraud scoring to flag suspicious claims, including AI-generated fake documents and images.
Slow Claim Resolution
We automate FNOL intake, document collection, status updates, and approvals, so routine claim handling moves without manual handoffs.
Litigation Risk
We flag claims with high litigation potential early using predictive models and recommend proactive intervention before disputes escalate.
Data Silos & Legacy Systems
We consolidate policy, billing, claims, and document data into one unified claims workspace through API integration, no system replacement required.
Inconsistent Claim Decisions
We surface historical claims, policy language, and company guidelines at the point of decision, so settlement recommendations and reserves stay consistent across adjusters.
Catastrophe Surge Management
We automate intake, prioritize claims, and dynamically allocate adjusters during CAT events, so sudden volume spikes don't overwhelm response capacity.
Customer Communication
We power virtual assistants and automated notifications that give policyholders real-time claim status, cutting the inbound "where's my claim" calls.
Knowledge Retention & Training
We capture organizational knowledge and recommend next-best actions as a copilot, so newer adjusters ramp faster and retiring expertise doesn't walk out the door.
Reserve Accuracy
We recommend reserve estimates and flag when reserves need adjusting, using predictive models trained on historical claims data.
Adjuster Productivity
We generate claim notes, file summaries, and correspondence drafts automatically, so adjusters spend their day investigating claims instead of documenting them.
