But where do these large video and image files get stored? How do they get organized for quick access when they are needed the most, and how to review lengthy loss adjustment recordings without facing burnouts? The digital evidence management system enables insurance providers to improve the overall claims management processing.
Organize Recorded Loss Adjustment Session Videos in One Place
Before video chat was prevalent, insurance claim experts would spend hours working on a single claim. Nowadays, insurance providers can guide policyholders in real time by remotely assessing damage through interactive video calls. Securely archive video recordings of loss adjustment sessions in one place and improve overall claims management process with better judgement on claim payouts and reduce onsite visits.
Streamline Office Workflows with Artificial Intelligence
Using AI, VIDIZMO leverages video-enabled insurance services to increase productivity in the claims management process from better assessments by searching inside the video, enhance customer service with rapid evidence searchability and machine generated transcriptions for recorded sessions, to better risk management by reducing claim lifecycle from months to days.
Manage Audiovisual Evidence from Different Policyholders
With a policyholder portal, support various video and other media formats coming from CCTV surveillance, smartphones, drone cameras, in-vehicle/semi-truck cameras (dash cams) and others. Coupled with scalable storage, different policyholders can securely upload their images and video recordings of any size and format for adjusters and insurance investigators to perform immediate review.
Automatically Transcribe Recordings to Save Time and Avoid Regulatory Fines
Regulatory agencies like FINRA, SEC, and NAIC expect financial services providers, including the insurance sector, to both record and transcribe customer calls. But manually transcribing and searching for missing details from thousands of hours can prove to be both daunting and costly. Drastically cut down process time and effectively meet federal and state legal requirements with automatic transcription to quickly find and jump to important moments. What is more? Through recording and transcribing, both insurer and customer get the peace of mind that no details will be misinterpreted/forgotten.
Policyholder Portals for Multiple Insurance Types
Segregate photos and recorded video chat sessions from different types of policyholders such as property and casualty (P&C), vehicle, health insurance and more by creating, customizing, and managing dedicated portals
Analyze Better with Search Inside Video
In addition to platform wide search, select relevant segments within the audio and video timeline where faces, objects, and spoken words occurred to drastically reduce the review process time in claims management
Automatically Transcribe Loss Adjustment Sessions
Overcome the painstaking claims report writing process by generating AI-powered transcription in a matter of minutes. Make speech from audio and video recordings searchable and jump to the exact moment the spoken words occurred without the need to watch entire claims adjustment sessions
Smart Tags for Rapid Evidence Searchability
Sift through multiple loss adjustment recorded sessions within the evidence library as the Artificial Intelligence assigns labels to categorize each uploaded file and accelerate evidence searchability. Option to manually customize auto tags is also present to sort video recordings, images, and other documents based on insurance types
Avoid Hefty Compliance Fines
Leverage features such as automatic transcription & translation, face and object detection, search for written or spoken words inside video evidence to accelerate the review process, reduce human errors, and detect regulatory compliance risks
Compatible with Any Multimedia Source
View and maintain all types of digital evidence, such as CCTV footage, video chat session recordings, in-vehicle/semi-truck cameras (dash cams), documents, audio recordings, photos and more