Automatically identify suspicious claims and prioritize them for review.
a68 Fraud Catcher reviews documents, images, invoices, policy context, and claim history to help insurers reduce manual effort and prevent unjustified payouts.
Of all incoming claims show indicators of manipulation or fraud.*
What once required effort and technical expertise can now be created at scale in seconds: realistic claim photos, invoices, and supporting documents.
While manipulated images and forged documents can be created faster than ever, claims teams cannot forensically review every case by hand.
Insurers that automate claims processes can settle claims faster, reduce pressure on review teams, and identify fraud signals more effectively.
a68 Fraud Catcher orchestrates specialized AI agents, computer vision models, traditional machine learning methods, and forensic review modules across the entire claims process. This enables photos, documents, invoices, and case data to be systematically analyzed and consolidated into a clear, traceable assessment for claims teams.
Surfaces tampered or altered documents that would slip past a manual review.
Sanity-checks claim figures and counterparties against trusted external benchmarks.
Flags synthetic, manipulated, or otherwise non-authentic imagery submitted as evidence.
Checks whether the reported damage is plausible and whether the same evidence has appeared before.
Walk through a live claim end-to-end — analyze the evidence, watch a68 Fraud Catcher reason, and review the final fraud assessment.
If the demo doesn't load, open it in a new tab.
a68 Fraud Catcher reviews submitted evidence across documents, images, and case context to help insurers identify claims that deserve closer attention. Each assessment is explainable, auditable, and built for human review.
The forensic AI behind a68 Fraud Catcher is developed with leading research institutions, including the Technical University of Munich and Université Paris-Saclay, combining advanced AI agents with forensic methods for photo, document, and claims analysis.
a68 Fraud Catcher is built for trusted insurance workflows with data protection, auditability, and controlled processing at the core.
Reviews whether documents, photos, and claim details tell the same story.
Identifies unusual structures, duplicated content, and invoice-level inconsistencies.
Checks whether companies, addresses, and commercial details appear plausible and consistent.
Assesses whether submitted images fit the reported claim context.
Connects signals across files into one clear, explainable assessment.
Helps claims teams focus on cases that deserve manual attention first.
a68 Fraud Catcher helps insurers reduce manual review, prioritize suspicious claims, and improve fraud detection across real claims workflows.
a68 Fraud Catcher was featured in Bitkom’s latest case studies, highlighting how AI can help insurers automate claims fraud detection, reduce manual review, and identify suspicious evidence earlier.
“a68 Fraud Catcher helped us strengthen fraud detection while making claims handling more efficient. Suspicious cases are reviewed more precisely, while unremarkable claims move faster through the process, increasing automation and relieving our claims teams.”
Read the full story
“a68 Fraud Catcher relieves the claims department, accelerates payouts for valid claims, and sustainably lowers the claims cost ratio. This closes a critical gap in claims management.”
Read the full storyWith a68 Fraud Catcher, insurers reduce manual review effort and prevent wrongful payouts with automated, scalable intelligence.
Indicative figure based on conservative pilot assumptions. Actual net ROI depends on your claim mix and total cost of ownership.
a68 Fraud Catcher is API-first. It plugs directly into your existing core systems, including custom ERPs, for seamless, human-in-the-loop workflows.
Whether motor, property, liability, or supplemental health: a68 Fraud Catcher detects suspicious claim patterns, manipulated evidence, and implausible demands across lines.
Get in touch with us. In a free consultation, we will review together how a68 Fraud Catcher can support your fraud defense.
Join forward-thinking insurers using a68 Fraud Catcher to protect their combined ratios.
Berlin-based insurance company INZMO has announced a strategic partnership with AI specialist a68 to make claims handling more efficient, scalable, and precise. The collaboration is designed to identify suspicious claims earlier, reduce manual review effort, shorten cycle times, and sustainably improve the claims cost ratio.
Insurance fraud costs the European industry billions every year. At the same time, AI is changing the dynamics: what once required expertise, time, and effort can now be generated at scale without specialist knowledge, from realistic claim photos and invoices to seemingly plausible supporting documents.
While manipulated images and forged documents can be created faster than ever, claims teams cannot manually and forensically review every case in detail. This is where automation becomes a competitive advantage: insurers can settle unremarkable claims faster, relieve review teams, and identify suspicious evidence more precisely.
a68 Fraud Catcher orchestrates specialized AI agents, computer vision models, classical machine learning methods, and forensic review modules across the claims process. The platform analyzes damage photos, invoices, supporting documents, and case data, checks them for anomalies, and makes relevant risk signals transparent for claims teams.
The goal is not a black-box decision, but explainable guidance: Which evidence is suspicious? Which statements do not match? Which cases should be prioritized for review? This helps claims handlers decide faster, more precisely, and with better context.
The results show a clear impact on the claims process: INZMO increased the detection of suspicious claims by 130% while reducing claims handling time by 52%.
With stronger automation, unremarkable claims move through the standard process faster, while cases requiring review are prioritized more precisely. This relieves employees, reduces manual review effort, and improves customer satisfaction through shorter processing times.
Originally published in Coverager.
In the German auto insurance sector (Kfz-Versicherung), fraud is a staggering problem. The Gesamtverband der Versicherer (GDV) estimates that roughly six billion euros are lost to insurance fraud every single year in Germany alone.
To combat this, warranty specialist Intec AG partnered with a68 to deploy a68 Fraud Catcher for detecting fraudulent intent before claims are paid out.
a68 Fraud Catcher relies on deep-learning models trained on millions of historical claims. It surfaces complex patterns that human adjusters routinely miss:
“a68 Fraud Catcher relieves the claims department, accelerates payouts for valid claims, and sustainably lowers the claims cost ratio. This closes a critical gap in claims management.” — Markus Müller, CEO, Intec AG
By catching bad actors early, insurers directly improve their combined ratio (Schaden-Kosten-Quote). a68 Fraud Catcher continuously learns — as fraudsters adapt, so do the defensive models. The result: fairer, more affordable auto insurance for the vast majority of honest drivers.
Originally published in kfz-betrieb.
