About
FRISS is an AI-powered SaaS platform purpose-built for Property & Casualty (P&C) insurance carriers seeking to automate trust throughout the entire policy lifecycle. By analyzing every policy request, renewal, and claim for trustworthiness in real time, FRISS helps insurers distinguish honest customers from high-risk or fraudulent ones—instantly and consistently. The platform covers three core domains: Underwriting, Claims, and Investigations. In underwriting, FRISS enables carriers to write policies faster and without bias by leveraging advanced analytics and diverse data points to spot high-risk applicants before they enter the book of business. In claims, all submissions are screened within seconds, allowing trustworthy claims to be paid out rapidly while suspicious ones are flagged for review—improving both efficiency and customer satisfaction. The Investigations module provides structured, confidential case-building tools that help special investigation units verify trust or reveal suspicious behavior, feeding learnings back into underwriting and claims workflows. FRISS is used by tier-1 carriers and regional insurers alike, delivering proven results such as 90% faster underwriting, 50% more efficient claim adjusting, and 3x more effective case handling. Clients report an average satisfaction rating of 8.9. With over 300 live implementations and documented fraud savings of tens of millions of dollars, FRISS is the leading enterprise solution for end-to-end insurance trust automation.
Key Features
- Real-Time Underwriting Risk Assessment: Analyzes all incoming policy applications using advanced analytics and data points to instantly identify high-risk or misrepresenting applicants before policy issuance.
- Automated Claims Screening: Screens every claim submission within seconds, enabling faster payout for honest claimants and automatically flagging suspicious claims for further investigation.
- Special Investigations Support: Provides structured, confidential tools for investigation units to build fraud cases, verify trust, and share intelligence back with underwriting and claims teams.
- Full Policy Lifecycle Coverage: Automates trust checks at every stage—new policy requests, renewals, claims, and investigations—ensuring consistent risk management across the entire insurance workflow.
- Compliance & Media Check: Supports compliance screenings and media checks to meet regulatory requirements and identify reputational risks associated with applicants and claimants.
Use Cases
- A tier-1 P&C carrier uses FRISS to screen all new policy applications in real time, automatically accepting low-risk customers and routing high-risk profiles for manual underwriting review.
- An insurance claims department integrates FRISS to screen every incoming claim within seconds, reducing fraudulent payouts and cutting claim adjustment time by 50%.
- A special investigations unit uses FRISS's investigation module to build structured fraud cases and feed learnings back into underwriting rules, continuously improving detection accuracy.
- A regional insurer uses FRISS for compliance and media checks during onboarding to meet regulatory requirements and avoid writing policies for sanctioned or reputationally risky individuals.
- An insurance carrier leverages FRISS analytics to identify and reduce bias in underwriting decisions while ensuring consistent risk assessment across all customer segments.
Pros
- Proven ROI at Scale: With 300+ live implementations, clients report measurable outcomes including $21M+ in fraud savings, 90% faster underwriting, and 3x more effective case handling.
- End-to-End Integration: Covers the entire policy lifecycle from underwriting through claims and investigations, eliminating siloed point solutions and sharing intelligence across all departments.
- Real-Time Decision Support: Delivers risk assessments in seconds, enabling touchless approval for trusted customers and immediate flagging of suspicious activity without manual delays.
- High Client Satisfaction: Maintains an average client rating of 8.9, reflecting strong adoption and measurable value delivered to insurance carriers of all sizes.
Cons
- Enterprise-Only Pricing: FRISS is designed exclusively for insurance carriers at an enterprise level; pricing is not transparent and likely requires a custom sales engagement.
- P&C Insurance Vertical Only: The platform is purpose-built for Property & Casualty insurers and is not applicable to other industries or insurance verticals such as life or health.
- Integration Complexity: Implementing FRISS across underwriting, claims, and investigations systems may require significant integration effort and internal change management.
Frequently Asked Questions
What types of insurance carriers can use FRISS?
FRISS is designed specifically for Property & Casualty (P&C) insurance carriers, including both direct carriers and those working through intermediaries. It supports personal lines as well as commercial lines underwriting and claims.
How does FRISS detect fraud?
FRISS analyzes policy requests, renewals, and claims in real time using advanced analytics, behavioral signals, and diverse external data points to identify patterns associated with misrepresentation and fraud, flagging high-risk cases for human review.
How long does it take to see results after implementing FRISS?
According to customer testimonials, insurers have reported significant fraud savings within the first two years of going live, with one carrier achieving $21 million in total fraud savings and increasing fraud savings per investigator from $550K to $2M.
Does FRISS integrate with existing insurance systems?
Yes, FRISS is designed to integrate with existing carrier infrastructure and is automatically consulted during application and claims processes, whether direct or via intermediaries, making it compatible with current workflows.
What is 'touchless trust' in the context of FRISS?
Touchless trust refers to FRISS's ability to instantly and automatically approve customers with good risk profiles during the application process—without any manual intervention—while only flagging high-risk cases for further human review.
