INZMO and a68 automate the detection of suspicious claims
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.
The challenge: fraud scales, manual review does not
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.
The AI solution
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.
“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.” Iris Tomingas, Head of ICT, INZMO
Measured impact
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.
